43 results on '"Momtazmanesh, S"'
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2. PROGRESSION OF BONE MARROW LESION VOLUME IS ASSOCIATED WITH AN INCREASED RISK OF RADIOGRAPHIC AND SYMTOMATIC KNEE OSTEOARTHRITIS: A PROSPECTIVE ANALYSIS OF KNEE MRIS FROM OSTEOARTHRITIS INITIATIVE COHORT
- Author
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Moradi, K., Mohammadi, S., Mohajer, B., Roemer, F.W., Momtazmanesh, S., Hathaway, Q., Ibad, H.A., Hunter, D.J., Guermazi, A., and Demehri, S.
- Abstract
Bone marrow lesions (BMLs) are a risk factor for incident knee OA and deep-learning (DL) methods can help in automated segmentation and risk prediction.
- Published
- 2024
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3. Global, regional, and national burden of colorectal cancer and its risk factors, 1990–2019: a systematic analysis for the Global Burden of Disease Study 2019
- Author
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Rajesh Sharma, Mohsen Abbasi-Kangevari, Rami Abd-Rabu, Hassan Abidi, Eman Abu-Gharbieh, Juan Manuel Acuna, Sangeet Adhikari, Shailesh M Advani, Muhammad Sohail Afzal, Mohamad Aghaie Meybodi, Bright Opoku Ahinkorah, Sajjad Ahmad, Ali Ahmadi, Sepideh Ahmadi, Haroon Ahmed, Luai A Ahmed, Muktar Beshir Ahmed, Hanadi Al Hamad, Fares Alahdab, Fahad Mashhour Alanezi, Turki M Alanzi, Fadwa Alhalaiqa Naji Alhalaiqa, Yousef Alimohamadi, Vahid Alipour, Syed Mohamed Aljunid, Motasem Alkhayyat, Sami Almustanyir, Rajaa M Al-Raddadi, Saba Alvand, Nelson Alvis-Guzman, Saeed Amini, Robert Ancuceanu, Amir Anoushiravani, Ali Arash Anoushirvani, Alireza Ansari-Moghaddam, Jalal Arabloo, Armin Aryannejad, Mohammad Asghari Jafarabadi, Seyyed Shamsadin Athari, Floriane Ausloos, Marcel Ausloos, Atalel Fentahun Awedew, Mamaru Ayenew Awoke, Tegegn Mulatu Ayana, Sina Azadnajafabad, Hiva Azami, Mohammadreza Azangou-Khyavy, Amirhossein Azari Jafari, Ashish D Badiye, Sara Bagherieh, Saeed Bahadory, Atif Amin Baig, Jennifer L Baker, Maciej Banach, Amadou Barrow, Alemshet Yirga Berhie, Sima Besharat, Devidas S Bhagat, Akshaya Srikanth Bhagavathula, Neeraj Bhala, Krittika Bhattacharyya, Vijayalakshmi S Bhojaraja, Sadia Bibi, Ali Bijani, Antonio Biondi, Tone Bjørge, Belay Boda Abule Bodicha, Dejana Braithwaite, Hermann Brenner, Daniela Calina, Chao Cao, Yin Cao, Giulia Carreras, Felix Carvalho, Ester Cerin, Raja Chandra Chakinala, William C S Cho, Dinh-Toi Chu, Joao Conde, Vera Marisa Costa, Natália Cruz-Martins, Omid Dadras, Xiaochen Dai, Lalit Dandona, Rakhi Dandona, Anna Danielewicz, Feleke Mekonnen Demeke, Getu Debalkie Demissie, Rupak Desai, Deepak Dhamnetiya, Mostafa Dianatinasab, Daniel Diaz, Mojtaba Didehdar, Saeid Doaei, Linh Phuong Doan, Milad Dodangeh, Fatemeh Eghbalian, Debela Debela Ejeta, Michael Ekholuenetale, Temitope Cyrus Ekundayo, Iman El Sayed, Muhammed Elhadi, Daniel Berhanie Enyew, Tahir Eyayu, Rana Ezzeddini, Ildar Ravisovich Fakhradiyev, Umar Farooque, Hossein Farrokhpour, Farshad Farzadfar, Ali Fatehizadeh, Hamed Fattahi, Nima Fattahi, Masood Fereidoonnezhad, Eduarda Fernandes, Getahun Fetensa, Irina Filip, Florian Fischer, Masoud Foroutan, Peter Andras Gaal, Mohamed M Gad, Silvano Gallus, Tushar Garg, Tamiru Getachew, Seyyed-Hadi Ghamari, Ahmad Ghashghaee, Nermin Ghith, Maryam Gholamalizadeh, Jamshid Gholizadeh Navashenaq, Abraham Tamirat Gizaw, James C Glasbey, Mahaveer Golechha, Pouya Goleij, Kebebe Bekele Gonfa, Giuseppe Gorini, Avirup Guha, Sapna Gupta, Veer Bala Gupta, Vivek Kumar Gupta, Rasool Haddadi, Nima Hafezi-Nejad, Arvin Haj-Mirzaian, Rabih Halwani, Shafiul Haque, Sanam Hariri, Ahmed I Hasaballah, Soheil Hassanipour, Simon I Hay, Claudiu Herteliu, Ramesh Holla, Mohammad-Salar Hosseini, Mehdi Hosseinzadeh, Mihaela Hostiuc, Mowafa Househ, Junjie Huang, Ayesha Humayun, Ivo Iavicoli, Olayinka Stephen Ilesanmi, Irena M Ilic, Milena D Ilic, Farhad Islami, Masao Iwagami, Mohammad Ali Jahani, Mihajlo Jakovljevic, Tahereh Javaheri, Ranil Jayawardena, Rime Jebai, Ravi Prakash Jha, Tamas Joo, Nitin Joseph, Farahnaz Joukar, Jacek Jerzy Jozwiak, Ali Kabir, Rohollah Kalhor, Ashwin Kamath, Neeti Kapoor, Ibraheem M Karaye, Amirali Karimi, Joonas H Kauppila, Asma Kazemi, Mohammad Keykhaei, Yousef Saleh Khader, Himanshu Khajuria, Rovshan Khalilov, Javad Khanali, Maryam Khayamzadeh, Mahmoud Khodadost, Hanna Kim, Min Seo Kim, Adnan Kisa, Sezer Kisa, Ali-Asghar Kolahi, Hamid Reza Koohestani, Jacek A Kopec, Rajasekaran Koteeswaran, Ai Koyanagi, Yuvaraj Krishnamoorthy, G Anil Kumar, Manoj Kumar, Vivek Kumar, Carlo La Vecchia, Faris Hasan Lami, Iván Landires, Caterina Ledda, Sang-woong Lee, Wei-Chen Lee, Yeong Yeh Lee, Elvynna Leong, Bingyu Li, Stephen S Lim, Stany W Lobo, Joana A Loureiro, Raimundas Lunevicius, Farzan Madadizadeh, Ata Mahmoodpoor, Azeem Majeed, Mohammad-Reza Malekpour, Reza Malekzadeh, Ahmad Azam Malik, Fariborz Mansour-Ghanaei, Lorenzo Giovanni Mantovani, Miquel Martorell, Sahar Masoudi, Prashant Mathur, Jitendra Kumar Meena, Entezar Mehrabi Nasab, Walter Mendoza, Alexios-Fotios A Mentis, Tomislav Mestrovic, Junmei Miao Jonasson, Bartosz Miazgowski, Tomasz Miazgowski, Gelana Fekadu Worku Mijena, Seyyedmohammadsadeq Mirmoeeni, Mohammad Mirza-Aghazadeh-Attari, Hamed Mirzaei, Sanjeev Misra, Karzan Abdulmuhsin Mohammad, Esmaeil Mohammadi, Saeed Mohammadi, Seyyede Momeneh Mohammadi, Abdollah Mohammadian-Hafshejani, Shafiu Mohammed, Teroj Abdulrahman Mohammed, Nagabhishek Moka, Ali H Mokdad, Zeinab Mokhtari, Mariam Molokhia, Sara Momtazmanesh, Lorenzo Monasta, Ghobad Moradi, Rahmatollah Moradzadeh, Paula Moraga, Joana Morgado-da-Costa, Sumaira Mubarik, Francesk Mulita, Mohsen Naghavi, Mukhammad David Naimzada, Hae Sung Nam, Zuhair S Natto, Biswa Prakash Nayak, Javad Nazari, Ehsan Nazemalhosseini-Mojarad, Ionut Negoi, Cuong Tat Nguyen, Son Hoang Nguyen, Nurulamin M Noor, Maryam Noori, Seyyed Mohammad Ali Noori, Virginia Nuñez-Samudio, Chimezie Igwegbe Nzoputam, Bogdan Oancea, Oluwakemi Ololade Odukoya, Ayodipupo Sikiru Oguntade, Hassan Okati-Aliabad, Andrew T Olagunju, Tinuke O Olagunju, Sokking Ong, Samuel M Ostroff, Alicia Padron-Monedero, Reza Pakzad, Adrian Pana, Anamika Pandey, Fatemeh Pashazadeh Kan, Urvish K Patel, Uttam Paudel, Renato B Pereira, Navaraj Perumalsamy, Richard G Pestell, Zahra Zahid Piracha, Richard Charles G Pollok, Akram Pourshams, Naeimeh Pourtaheri, Akila Prashant, Mohammad Rabiee, Navid Rabiee, Amir Radfar, Sima Rafiei, Mosiur Rahman, Amir Masoud Rahmani, Vahid Rahmanian, Nazanin Rajai, Aashish Rajesh, Vajiheh Ramezani-Doroh, Kiana Ramezanzadeh, Kamal Ranabhat, Sina Rashedi, Amirfarzan Rashidi, Mahsa Rashidi, Mohammad-Mahdi Rashidi, Mandana Rastegar, David Laith Rawaf, Salman Rawaf, Reza Rawassizadeh, Mohammad Sadegh Razeghinia, Andre M N Renzaho, Negar Rezaei, Nima Rezaei, Saeid Rezaei, Mohsen Rezaeian, Sahba Rezazadeh-Khadem, Gholamreza Roshandel, Maha Mohamed Saber-Ayad, Bahar Saberzadeh-Ardestani, Basema Saddik, Hossein Sadeghi, Umar Saeed, Maryam Sahebazzamani, Amirhossein Sahebkar, Amir Salek Farrokhi, Amir Salimi, Hamideh Salimzadeh, Pouria Samadi, Mehrnoosh Samaei, Abdallah M Samy, Juan Sanabria, Milena M Santric-Milicevic, Muhammad Arif Nadeem Saqib, Arash Sarveazad, Brijesh Sathian, Maheswar Satpathy, Ione Jayce Ceola Schneider, Mario Šekerija, Sadaf G Sepanlou, Allen Seylani, Feng Sha, Sayed Mohammad Shafiee, Zahra Shaghaghi, Saeed Shahabi, Elaheh Shaker, Maedeh Sharifian, Javad Sharifi-Rad, Sara Sheikhbahaei, Jeevan K Shetty, Reza Shirkoohi, Parnian Shobeiri, Sudeep K Siddappa Malleshappa, Diego Augusto Santos Silva, Guilherme Silva Julian, Achintya Dinesh Singh, Jasvinder A Singh, Md Shahjahan Siraj, Gholam Reza Sivandzadeh, Valentin Yurievich Skryabin, Anna Aleksandrovna Skryabina, Bogdan Socea, Marco Solmi, Mohammad Sadegh Soltani-Zangbar, Suhang Song, Viktória Szerencsés, Miklós Szócska, Rafael Tabarés-Seisdedos, Elnaz Tabibian, Majid Taheri, Yasaman TaheriAbkenar, Amir Taherkhani, Iman M Talaat, Ker-Kan Tan, Abdelghani Tbakhi, Bekele Tesfaye, Amir Tiyuri, Daniel Nigusse Tollosa, Mathilde Touvier, Bach Xuan Tran, Biruk Shalmeno Tusa, Irfan Ullah, Saif Ullah, Marco Vacante, Sahel Valadan Tahbaz, Massimiliano Veroux, Bay Vo, Theo Vos, Cong Wang, Ronny Westerman, Melat Woldemariam, Seyed Hossein Yahyazadeh Jabbari, Lin Yang, Fereshteh Yazdanpanah, Chuanhua Yu, Deniz Yuce, Ismaeel Yunusa, Vesna Zadnik, Mazyar Zahir, Iman Zare, Zhi-Jiang Zhang, Mohammad Zoladl, NOVA Medical School|Faculdade de Ciências Médicas (NMS|FCM), Sharma, Rajesh, Abbasi-Kangevari, Mohsen, Abd-Rabu, Rami, Abidi, Hassan, Ahmed, Muktar Beshir, Zoladl, Mohammad, GBD 2019 Colorectal Cancer Collaborators, Sharma, R, Abbasi-Kangevari, M, Abd-Rabu, R, Abidi, H, Abu-Gharbieh, E, Manuel Acuna, J, Adhikari, S, M Advani, S, Sohail Afzal, M, Aghaie Meybodi, M, Opoku Ahinkorah, B, Ahmad, S, Ahmadi, A, Ahmadi, S, Ahmed, H, A Ahmed, L, Beshir Ahmed, M, Al Hamad, H, Alahdab, F, Mashhour Alanezi, F, M Alanzi, T, Alhalaiqa Naji Alhalaiqa, F, Alimohamadi, Y, Alipour, V, Mohamed Aljunid, S, Alkhayyat, M, Almustanyir, S, M Al-Raddadi, R, Alvand, S, Alvis-Guzman, N, Amini, S, Ancuceanu, R, Anoushiravani, A, Arash Anoushirvani, A, Ansari-Moghaddam, A, Arabloo, J, Aryannejad, A, Asghari Jafarabadi, M, Shamsadin Athari, S, Ausloos, F, Ausloos, M, Fentahun Awedew, A, Ayenew Awoke, M, Mulatu Ayana, T, Azadnajafabad, S, Azami, H, Azangou-Khyavy, M, Azari Jafari, A, D Badiye, A, Bagherieh, S, Bahadory, S, Amin Baig, A, L Baker, J, Banach, M, Barrow, A, Yirga Berhie, A, Besharat, S, S Bhagat, D, Srikanth Bhagavathula, A, Bhala, N, Bhattacharyya, K, S Bhojaraja, V, Bibi, S, Bijani, A, Biondi, A, Bj??rge, T, Boda Abule Bodicha, B, Braithwaite, D, Brenner, H, Calina, D, Cao, C, Cao, Y, Carreras, G, Carvalho, F, Cerin, E, Chandra Chakinala, R, S Cho, W, Chu, D, Conde, J, Marisa Costa, V, Cruz-Martins, N, Dadras, O, Dai, X, Dandona, L, Dandona, R, Danielewicz, A, Mekonnen Demeke, F, Debalkie Demissie, G, Desai, R, Dhamnetiya, D, Dianatinasab, M, Diaz, D, Didehdar, M, Doaei, S, Phuong Doan, L, Dodangeh, M, Eghbalian, F, Debela Ejeta, D, Ekholuenetale, M, Cyrus Ekundayo, T, El Sayed, I, Elhadi, M, Berhanie Enyew, D, Eyayu, T, Ezzeddini, R, Ravisovich Fakhradiyev, I, Farooque, U, Farrokhpour, H, Farzadfar, F, Fatehizadeh, A, Fattahi, H, Fattahi, N, Fereidoonnezhad, M, Fernandes, E, Fetensa, G, Filip, I, Fischer, F, Foroutan, M, Andras Gaal, P, M Gad, M, Gallus, S, Garg, T, Getachew, T, Ghamari, S, Ghashghaee, A, Ghith, N, Gholamalizadeh, M, Gholizadeh Navashenaq, J, Tamirat Gizaw, A, C Glasbey, J, Golechha, M, Goleij, P, Bekele Gonfa, K, Gorini, G, Guha, A, Gupta, S, Bala Gupta, V, Kumar Gupta, V, Haddadi, R, Hafezi-Nejad, N, Haj-Mirzaian, A, Halwani, R, Haque, S, Hariri, S, I Hasaballah, A, Hassanipour, S, I Hay, S, Herteliu, C, Holla, R, Hosseini, M, Hosseinzadeh, M, Hostiuc, M, Househ, M, Huang, J, Humayun, A, Iavicoli, I, Stephen Ilesanmi, O, M Ilic, I, D Ilic, M, Islami, F, Iwagami, M, Ali Jahani, M, Jakovljevic, M, Javaheri, T, Jayawardena, R, Jebai, R, Prakash Jha, R, Joo, T, Joseph, N, Joukar, F, Jerzy Jozwiak, J, Kabir, A, Kalhor, R, Kamath, A, Kapoor, N, M Karaye, I, Karimi, A, H Kauppila, J, Kazemi, A, Keykhaei, M, Saleh Khader, Y, Khajuria, H, Khalilov, R, Khanali, J, Khayamzadeh, M, Khodadost, M, Kim, H, Seo Kim, M, Kisa, A, Kisa, S, Kolahi, A, Reza Koohestani, H, A Kopec, J, Koteeswaran, R, Koyanagi, A, Krishnamoorthy, Y, Anil Kumar, G, Kumar, M, Kumar, V, La Vecchia, C, Hasan Lami, F, Landires, I, Ledda, C, Lee, S, Lee, W, Yeh Lee, Y, Leong, E, Li, B, S Lim, S, W Lobo, S, A Loureiro, J, Lunevicius, R, Madadizadeh, F, Mahmoodpoor, A, Majeed, A, Malekpour, M, Malekzadeh, R, Azam Malik, A, Mansour-Ghanaei, F, Mantovani, L, Martorell, M, Masoudi, S, Mathur, P, Kumar Meena, J, Mehrabi Nasab, E, Mendoza, W, A Mentis, A, Mestrovic, T, Miao Jonasson, J, Miazgowski, B, Miazgowski, T, Fekadu Worku Mijena, G, Mirmoeeni, S, Mirza-Aghazadeh-Attari, M, Mirzaei, H, Misra, S, Abdulmuhsin Mohammad, K, Mohammadi, E, Mohammadi, S, Momeneh Mohammadi, S, Mohammadian-Hafshejani, A, Mohammed, S, Abdulrahman Mohammed, T, Moka, N, H Mokdad, A, Mokhtari, Z, Molokhia, M, Momtazmanesh, S, Monasta, L, Moradi, G, Moradzadeh, R, Moraga, P, Morgado-da-Costa, J, Mubarik, S, Mulita, F, Naghavi, M, David Naimzada, M, Sung Nam, H, S Natto, Z, Prakash Nayak, B, Nazari, J, Nazemalhosseini-Mojarad, E, Negoi, I, Tat Nguyen, C, Hoang Nguyen, S, M Noor, N, Noori, M, Mohammad Ali Noori, S, Nu??ez-Samudio, V, Igwegbe Nzoputam, C, Oancea, B, Ololade Odukoya, O, Sikiru Oguntade, A, Okati-Aliabad, H, T Olagunju, A, O Olagunju, T, Ong, S, M Ostroff, S, Padron-Monedero, A, Pakzad, R, Pana, A, Pandey, A, Pashazadeh Kan, F, K Patel, U, Paudel, U, B Pereira, R, Perumalsamy, N, G Pestell, R, Zahid Piracha, Z, G Pollok, R, Pourshams, A, Pourtaheri, N, Prashant, A, Rabiee, M, Rabiee, N, Radfar, A, Rafiei, S, Rahman, M, Masoud Rahmani, A, Rahmanian, V, Rajai, N, Rajesh, A, Ramezani-Doroh, V, Ramezanzadeh, K, Ranabhat, K, Rashedi, S, Rashidi, A, Rashidi, M, Rastegar, M, Laith Rawaf, D, Rawaf, S, Rawassizadeh, R, Sadegh Razeghinia, M, N Renzaho, A, Rezaei, N, Rezaei, S, Rezaeian, M, Rezazadeh-Khadem, S, Roshandel, G, Mohamed Saber-Ayad, M, Saberzadeh-Ardestani, B, Saddik, B, Sadeghi, H, Saeed, U, Sahebazzamani, M, Sahebkar, A, Salek Farrokhi, A, Salimi, A, Salimzadeh, H, Samadi, P, Samaei, M, M Samy, A, Sanabria, J, M Santric-Milicevic, M, Arif Nadeem Saqib, M, Sarveazad, A, Sathian, B, Satpathy, M, Jayce Ceola Schneider, I, ekerija, M, G Sepanlou, S, Seylani, A, Sha, F, Mohammad Shafiee, S, Shaghaghi, Z, Shahabi, S, Shaker, E, Sharifian, M, Sharifi-Rad, J, Sheikhbahaei, S, K Shetty, J, Shirkoohi, R, Shobeiri, P, K Siddappa Malleshappa, S, Augusto Santos Silva, D, Silva Julian, G, Dinesh Singh, A, A Singh, J, Shahjahan Siraj, M, Reza Sivandzadeh, G, Yurievich Skryabin, V, Aleksandrovna Skryabina, A, Socea, B, Solmi, M, Sadegh Soltani-Zangbar, M, Song, S, Szerencs??s, V, Sz??cska, M, Tabar??s-Seisdedos, R, Tabibian, E, Taheri, M, Taheriabkenar, Y, Taherkhani, A, M Talaat, I, Tan, K, Tbakhi, A, Tesfaye, B, Tiyuri, A, Nigusse Tollosa, D, Touvier, M, Xuan Tran, B, Shalmeno Tusa, B, Ullah, I, Ullah, S, Vacante, M, Valadan Tahbaz, S, Veroux, M, Vo, B, Vos, T, Wang, C, Westerman, R, Woldemariam, M, Hossein Yahyazadeh Jabbari, S, Yang, L, Yazdanpanah, F, Yu, C, Yuce, D, Yunusa, I, Zadnik, V, Zahir, M, Zare, I, Zhang, Z, Zoladl, M, Sharma, R., Abbasi-Kangevari, M., Abd-Rabu, R., Abidi, H., Abu-Gharbieh, E., Acuna, J. M., Adhikari, S., Advani, S. M., Afzal, M. S., Aghaie Meybodi, M., Ahinkorah, B. O., Ahmad, S., Ahmadi, A., Ahmadi, S., Ahmed, H., Ahmed, L. A., Ahmed, M. B., Al Hamad, H., Alahdab, F., Alanezi, F. M., Alanzi, T. M., Alhalaiqa, F. A. N., Alimohamadi, Y., Alipour, V., Aljunid, S. M., Alkhayyat, M., Almustanyir, S., Al-Raddadi, R. M., Alvand, S., Alvis-Guzman, N., Amini, S., Ancuceanu, R., Anoushiravani, A., Anoushirvani, A. A., Ansari-Moghaddam, A., Arabloo, J., Aryannejad, A., Asghari Jafarabadi, M., Athari, S. S., Ausloos, F., Ausloos, M., Awedew, A. F., Awoke, M. A., Ayana, T. M., Azadnajafabad, S., Azami, H., Azangou-Khyavy, M., Azari Jafari, A., Badiye, A. D., Bagherieh, S., Bahadory, S., Baig, A. A., Baker, J. L., Banach, M., Barrow, A., Berhie, A. Y., Besharat, S., Bhagat, D. S., Bhagavathula, A. S., Bhala, N., Bhattacharyya, K., Bhojaraja, V. S., Bibi, S., Bijani, A., Biondi, A., Bjorge, T., Bodicha, B. B. A., Braithwaite, D., Brenner, H., Calina, D., Cao, C., Cao, Y., Carreras, G., Carvalho, F., Cerin, E., Chakinala, R. C., Cho, W. C. S., Chu, D. -T., Conde, J., Costa, V. M., Cruz-Martins, N., Dadras, O., Dai, X., Dandona, L., Dandona, R., Danielewicz, A., Demeke, F. M., Demissie, G. D., Desai, R., Dhamnetiya, D., Dianatinasab, M., Diaz, D., Didehdar, M., Doaei, S., Doan, L. P., Dodangeh, M., Eghbalian, F., Ejeta, D. D., Ekholuenetale, M., Ekundayo, T. C., El Sayed, I., Elhadi, M., Enyew, D. B., Eyayu, T., Ezzeddini, R., Fakhradiyev, I. R., Farooque, U., Farrokhpour, H., Farzadfar, F., Fatehizadeh, A., Fattahi, H., Fattahi, N., Fereidoonnezhad, M., Fernandes, E., Fetensa, G., Filip, I., Fischer, F., Foroutan, M., Gaal, P. A., Gad, M. M., Gallus, S., Garg, T., Getachew, T., Ghamari, S. -H., Ghashghaee, A., Ghith, N., Gholamalizadeh, M., Gholizadeh Navashenaq, J., Gizaw, A. T., Glasbey, J. C., Golechha, M., Goleij, P., Gonfa, K. B., Gorini, G., Guha, A., Gupta, S., Gupta, V. B., Gupta, V. K., Haddadi, R., Hafezi-Nejad, N., Haj-Mirzaian, A., Halwani, R., Haque, S., Hariri, S., Hasaballah, A. I., Hassanipour, S., Hay, S. I., Herteliu, C., Holla, R., Hosseini, M. -S., Hosseinzadeh, M., Hostiuc, M., Househ, M., Huang, J., Humayun, A., Iavicoli, I., Ilesanmi, O. S., Ilic, I. M., Ilic, M. D., Islami, F., Iwagami, M., Jahani, M. A., Jakovljevic, M., Javaheri, T., Jayawardena, R., Jebai, R., Jha, R. P., Joo, T., Joseph, N., Joukar, F., Jozwiak, J. J., Kabir, A., Kalhor, R., Kamath, A., Kapoor, N., Karaye, I. M., Karimi, A., Kauppila, J. H., Kazemi, A., Keykhaei, M., Khader, Y. S., Khajuria, H., Khalilov, R., Khanali, J., Khayamzadeh, M., Khodadost, M., Kim, H., Kim, M. S., Kisa, A., Kisa, S., Kolahi, A. -A., Koohestani, H. R., Kopec, J. A., Koteeswaran, R., Koyanagi, A., Krishnamoorthy, Y., Kumar, G. A., Kumar, M., Kumar, V., La Vecchia, C., Lami, F. H., Landires, I., Ledda, C., Lee, S. -W., Lee, W. -C., Lee, Y. Y., Leong, E., Li, B., Lim, S. S., Lobo, S. W., Loureiro, J. A., Lunevicius, R., Madadizadeh, F., Mahmoodpoor, A., Majeed, A., Malekpour, M. -R., Malekzadeh, R., Malik, A. A., Mansour-Ghanaei, F., Mantovani, L. G., Martorell, M., Masoudi, S., Mathur, P., Meena, J. K., Mehrabi Nasab, E., Mendoza, W., Mentis, A. -F. A., Mestrovic, T., Miao Jonasson, J., Miazgowski, B., Miazgowski, T., Mijena, G. F. W., Mirmoeeni, S., Mirza-Aghazadeh-Attari, M., Mirzaei, H., Misra, S., Mohammad, K. A., Mohammadi, E., Mohammadi, S., Mohammadi, S. M., Mohammadian-Hafshejani, A., Mohammed, S., Mohammed, T. A., Moka, N., Mokdad, A. H., Mokhtari, Z., Molokhia, M., Momtazmanesh, S., Monasta, L., Moradi, G., Moradzadeh, R., Moraga, P., Morgado-da-Costa, J., Mubarik, S., Mulita, F., Naghavi, M., Naimzada, M. D., Nam, H. S., Natto, Z. S., Nayak, B. P., Nazari, J., Nazemalhosseini-Mojarad, E., Negoi, I., Nguyen, C. T., Nguyen, S. H., Noor, N. M., Noori, M., Noori, S. M. A., Nunez-Samudio, V., Nzoputam, C. I., Oancea, B., Odukoya, O. O., Oguntade, A. 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Adult ,MED/42 - IGIENE GENERALE E APPLICATA ,IMPACT ,colorectal cancer ,Colorectal Neoplasm ,GBD 2019 Colorectal Cancer Collaborators ,HEREDITARY ,Global Burden of Disease ,Cancer screening ,DISPARITIES ,SDG 3 - Good Health and Well-being ,Cancer treatment strategies ,Risk Factors ,Quality-Adjusted Life Year ,COLON ,Global studies ,DALY, GBD, colorectal cancer ,risk factors ,Humans ,Global Burden of Disease Study ,Early Detection of Cancer ,Hepatology ,MORTALITY ,Gastroenterology ,Cancer incidence rates ,Middle Aged ,Cancer burden ,SURVIVAL ,SEX ,GENDER ,Quality-Adjusted Life Years ,Colorectal Neoplasms ,Human - Abstract
Correction to Lancet Gastroenterol Hepatol 2022; 7: 627-47. Lancet Gastroenterol Hepatol. 2022 Aug;7(8):704. doi: 10.1016/S2468-1253(22)00210-2. PMID: 35809605. Background: Colorectal cancer is the third leading cause of cancer deaths worldwide. Given the recent increasing trends in colorectal cancer incidence globally, up-to-date information on the colorectal cancer burden could guide screening, early detection, and treatment strategies, and help effectively allocate resources. We examined the temporal patterns of the global, regional, and national burden of colorectal cancer and its risk factors in 204 countries and territories across the past three decades. Methods: Estimates of incidence, mortality, and disability-adjusted life years (DALYs) for colorectal cancer were generated as a part of the Global Burden of Diseases, Injuries and Risk Factors Study (GBD) 2019 by age, sex, and geographical location for the period 1990-2019. Mortality estimates were produced using the cause of death ensemble model. We also calculated DALYs attributable to risk factors that had evidence of causation with colorectal cancer. Findings: Globally, between 1990 and 2019, colorectal cancer incident cases more than doubled, from 842 098 (95% uncertainty interval [UI] 810 408-868 574) to 2·17 million (2·00-2·34), and deaths increased from 518 126 (493 682-537 877) to 1·09 million (1·02-1·15). The global age-standardised incidence rate increased from 22·2 (95% UI 21·3-23·0) per 100 000 to 26·7 (24·6-28·9) per 100 000, whereas the age-standardised mortality rate decreased from 14·3 (13·5-14·9) per 100 000 to 13·7 (12·6-14·5) per 100 000 and the age-standardised DALY rate decreased from 308·5 (294·7-320·7) per 100 000 to 295·5 (275·2-313·0) per 100 000 from 1990 through 2019. Taiwan (province of China; 62·0 [48·9-80·0] per 100 000), Monaco (60·7 [48·5-73·6] per 100 000), and Andorra (56·6 [42·8-71·9] per 100 000) had the highest age-standardised incidence rates, while Greenland (31·4 [26·0-37·1] per 100 000), Brunei (30·3 [26·6-34·1] per 100 000), and Hungary (28·6 [23·6-34·0] per 100 000) had the highest age-standardised mortality rates. From 1990 through 2019, a substantial rise in incidence rates was observed in younger adults (age
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4. Global, regional, and national burden of hepatitis B, 1990–2019: a systematic analysis for the Global Burden of Disease Study 2019
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Brittney S Sheena, Lindsey Hiebert, Hannah Han, Helen Ippolito, Mohsen Abbasi-Kangevari, Zeinab Abbasi-Kangevari, Hedayat Abbastabar, Amir Abdoli, Hiwa Abubaker Ali, Mesafint Molla Adane, Oyelola A Adegboye, Qorinah Estiningtyas Sakilah Adnani, Shailesh M Advani, Muhammad Sohail Afzal, Saira Afzal, Mohamad Aghaie Meybodi, Bahman Ahadinezhad, Bright Opoku Ahinkorah, Sajjad Ahmad, Tauseef Ahmad, Sepideh Ahmadi, Haroon Ahmed, Muktar Beshir Ahmed, Tarik Ahmed Rashid, Gizachew Taddesse Akalu, Addis Aklilu, Tayyaba Akram, Hanadi Al Hamad, Fares Alahdab, Adugnaw Zeleke Alem, Dejene Tsegaye Alem, Fadwa Alhalaiqa Naji Alhalaiqa, Robert Kaba Alhassan, Liaqat Ali, Muhammad Ashar Ali, Yousef Alimohamadi, Vahid Alipour, Motasem Alkhayyat, Sami Almustanyir, Rajaa M Al-Raddadi, Haya Altawalah, Saeed Amini, Hubert Amu, Robert Ancuceanu, Catalina Liliana Andrei, Tudorel Andrei, Amir Anoushiravani, Adnan Ansar, Anayochukwu Edward Anyasodor, Jalal Arabloo, Morteza Arab-Zozani, Ayele Mamo Argaw, Zeleke 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Liver Cirrhosis ,Hepatology ,Seroepidemiologic Studies ,3121 General medicine, internal medicine and other clinical medicine ,Liver Neoplasms ,Gastroenterology ,Humans ,Bayes Theorem ,HBV, Global burden of diseases, HCC, Cirrhosis ,Child ,Hepatitis B ,Global Burden of Disease - Abstract
Publisher Copyright: © 2022 The Author(s). Published by Elsevier Ltd. This is an Open Access article under the CC BY 4.0 license Background: Combating viral hepatitis is part of the UN Sustainable Development Goals (SDGs), and WHO has put forth hepatitis B elimination targets in its Global Health Sector Strategy on Viral Hepatitis (WHO-GHSS) and Interim Guidance for Country Validation of Viral Hepatitis Elimination (WHO Interim Guidance). We estimated the global, regional, and national prevalence of hepatitis B virus (HBV), as well as mortality and disability-adjusted life-years (DALYs) due to HBV, as part of the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2019. This included estimates for 194 WHO member states, for which we compared our estimates to WHO elimination targets. Methods: The primary data sources were population-based serosurveys, claims and hospital discharges, cancer registries, vital registration systems, and published case series. We estimated chronic HBV infection and the burden of HBV-related diseases, defined as an aggregate of cirrhosis due to hepatitis B, liver cancer due to hepatitis B, and acute hepatitis B. We used DisMod-MR 2.1, a Bayesian mixed-effects meta-regression tool, to estimate the prevalence of chronic HBV infection, cirrhosis, and aetiological proportions of cirrhosis. We used mortality-to-incidence ratios modelled with spatiotemporal Gaussian process regression to estimate the incidence of liver cancer. We used the Cause of Death Ensemble modelling (CODEm) model, a tool that selects models and covariates on the basis of out-of-sample performance, to estimate mortality due to cirrhosis, liver cancer, and acute hepatitis B. Findings: In 2019, the estimated global, all-age prevalence of chronic HBV infection was 4·1% (95% uncertainty interval [UI] 3·7 to 4·5), corresponding to 316 million (284 to 351) infected people. There was a 31·3% (29·0 to 33·9) decline in all-age prevalence between 1990 and 2019, with a more marked decline of 76·8% (76·2 to 77·5) in prevalence in children younger than 5 years. HBV-related diseases resulted in 555 000 global deaths (487 000 to 630 000) in 2019. The number of HBV-related deaths increased between 1990 and 2019 (by 5·9% [–5·6 to 19·2]) and between 2015 and 2019 (by 2·9% [–5·9 to 11·3]). By contrast, all-age and age-standardised death rates due to HBV-related diseases decreased during these periods. We compared estimates for 2019 in 194 WHO locations to WHO-GHSS 2020 targets, and found that four countries achieved a 10% reduction in deaths, 15 countries achieved a 30% reduction in new cases, and 147 countries achieved a 1% prevalence in children younger than 5 years. As of 2019, 68 of 194 countries had already achieved the 2030 target proposed in WHO Interim Guidance of an all-age HBV-related death rate of four per 100 000. Interpretation: The prevalence of chronic HBV infection declined over time, particularly in children younger than 5 years, since the introduction of hepatitis B vaccination. HBV-related death rates also decreased, but HBV-related death counts increased as a result of population growth, ageing, and cohort effects. By 2019, many countries had met the interim seroprevalence target for children younger than 5 years, but few countries had met the WHO-GHSS interim targets for deaths and new cases. Progress according to all indicators must be accelerated to meet 2030 targets, and there are marked disparities in burden and progress across the world. HBV interventions, such as vaccination, testing, and treatment, must be strategically supported and scaled up to achieve elimination. Funding: Bill & Melinda Gates Foundation.
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- 2022
5. Age–sex differences in the global burden of lower respiratory infections and risk factors, 1990–2019: results from the Global Burden of Disease Study 2019
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Hmwe Hmwe Kyu, Avina Vongpradith, Sarah Brooke Sirota, Amanda Novotney, Christopher E Troeger, Matthew C Doxey, Rose G Bender, Jorge R Ledesma, Molly H Biehl, Samuel B Albertson, Joseph Jon Frostad, Katrin Burkart, Fiona B Bennitt, Jeff T Zhao, William M Gardner, Hailey Hagins, Dana Bryazka, Regina-Mae Villanueva Dominguez, Semagn Mekonnen Abate, Michael Abdelmasseh, Amir Abdoli, Gholamreza Abdoli, Aidin Abedi, Vida Abedi, Tadesse M Abegaz, Hassan Abidi, Richard Gyan Aboagye, Hassan Abolhassani, Yonas Derso Abtew, Hiwa Abubaker Ali, Eman Abu-Gharbieh, Ahmed Abu-Zaid, Kidist Adamu, Isaac Yeboah Addo, Oyelola A Adegboye, Mohammad Adnan, Qorinah Estiningtyas Sakilah Adnani, Muhammad Sohail Afzal, Saira Afzal, Bright Opoku Ahinkorah, Aqeel Ahmad, Araz Ramazan Ahmad, Sajjad Ahmad, Ali Ahmadi, Sepideh Ahmadi, Haroon Ahmed, Jivan Qasim Ahmed, Tarik Ahmed Rashid, Mostafa Akbarzadeh-Khiavi, Hanadi Al Hamad, Luciana Albano, Mamoon A Aldeyab, Bezatu Mengistie Alemu, Kefyalew Addis Alene, 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M., Gaihre, S., Galehdar, N., Garcia-Basteiro, A. L., Garg, T., Gebrehiwot, M. D., Gebremichael, M. A., Gela, Y. Y., Gemeda, B. N. B., Gessner, B. D., Getachew, M., Getie, A., Ghamari, S. -H., Ghasemi Nour, M., Ghashghaee, A., Gholamrezanezhad, A., Gholizadeh, A., Ghosh, R., Ghozy, S., Goleij, P., Golitaleb, M., Gorini, G., Goulart, A. C., Goyomsa, G. G., Guadie, H. A., Gudisa, Z., Guled, R. A., Gupta, S., Gupta, V. B., Gupta, V. K., Guta, A., Habibzadeh, P., Haj-Mirzaian, A., Halwani, R., Hamidi, S., Hannan, M. A., Harorani, M., Hasaballah, A. I., Hasani, H., Hassan, A. M., Hassani, S., Hassanian-Moghaddam, H., Hassankhani, H., Hayat, K., Heibati, B., Heidari, M., Heyi, D. Z., Hezam, K., Holla, R., Hong, S. H., Horita, N., Hosseini, M. -S., Hosseinzadeh, M., Hostiuc, M., Househ, M., Hoveidamanesh, S., Huang, J., Hussein, N. R., Iavicoli, I., Ibitoye, S. E., Ikuta, K. S., Ilesanmi, O. S., Ilic, I. M., Ilic, M. D., Immurana, M., Ismail, N. E., Iwagami, M., Jaafari, J., Jamshidi, E., Jang, S. -I., Javadi Mamaghani, A., Javaheri, T., Javanmardi, F., Javidnia, J., Jayapal, S. K., Jayarajah, U., Jayaram, S., Jema, A. T., Jeong, W., Jonas, J. B., Joseph, N., Joukar, F., Jozwiak, J. J., K, V., Kabir, Z., Kacimi, S. E. O., Kadashetti, V., Kalankesh, L. R., Kalhor, R., Kamath, A., Kamble, B. D., Kandel, H., Kanko, T. K., Karaye, I. M., Karch, A., Karkhah, S., Kassa, B. G., Katoto, P. D., Kaur, H., Kaur, R. J., Keikavoosi-Arani, L., Keykhaei, M., Khader, Y. S., Khajuria, H., Khan, E. A., Khan, G., Khan, I. A., Khan, M., Khan, M. N., Khan, M. A., Khan, Y. H., Khatatbeh, M. M., Khosravifar, M., Khubchandani, J., Kim, M. S., Kimokoti, R. W., Kisa, A., Kisa, S., Kissoon, N., Knibbs, L. D., Kochhar, S., Kompani, F., Koohestani, H. R., Korshunov, V. A., Kosen, S., Koul, P. A., Koyanagi, A., Krishan, K., Kuate Defo, B., Kumar, G. A., Kurmi, O. P., Kuttikkattu, A., Lal, D. K., Lam, J., Landires, I., Ledda, C., Lee, S. -W., Levi, M., Lewycka, S., Liu, G., Liu, W., Lodha, R., Lorenzovici, L., Lotfi, M., Loureiro, J. A., Madadizadeh, F., Mahmoodpoor, A., Mahmoudi, R., Mahmoudimanesh, M., Majidpoor, J., Makki, A., Malakan Rad, E., Malik, A. A., Mallhi, T. H., Manla, Y., Matei, C. N., Mathioudakis, A. G., Maude, R. J., Mehrabi Nasab, E., Melese, A., Memish, Z. A., Mendoza-Cano, O., Mentis, A. -F. A., Meretoja, T. J., Merid, M. W., Mestrovic, T., Micheletti Gomide Nogueira de Sa, A. C., Mijena, G. F. W., Minh, L. H. N., Mir, S. A., Mirfakhraie, R., Mirmoeeni, S., Mirza, A. Z., Mirza, M., Mirza-Aghazadeh-Attari, M., Misganaw, A. S., Misganaw, A. T., Mohammadi, E., Mohammadi, M., Mohammed, A., Mohammed, S., Mohan, S., Mohseni, M., Moka, N., Mokdad, A. H., Momtazmanesh, S., Monasta, L., Moniruzzaman, M., Montazeri, F., Moore, C. E., Moradi, A., Morawska, L., Mosser, J. F., Mostafavi, E., Motaghinejad, M., Mousavi Isfahani, H., Mousavi-Aghdas, S. A., Mubarik, S., Murillo-Zamora, E., Mustafa, G., Nair, S., Nair, T. S., Najafi, H., Naqvi, A. A., Narasimha Swamy, S., Natto, Z. S., Nayak, B. P., Nejadghaderi, S. A., Nguyen, H. V. N., Niazi, R. K., Nogueira de Sa, A. T., Nouraei, H., Nowroozi, A., Nunez-Samudio, V., Nzoputam, C. I., Nzoputam, O. J., Oancea, B., Ochir, C., Odukoya, O. O., Okati-Aliabad, H., Okekunle, A. P., Okonji, O. C., Olagunju, A. T., Olufadewa, I. I., Omar Bali, A., Omer, E., Oren, E., Ota, E., Otstavnov, N., Oulhaj, A., P A, M., Padubidri, J. R., Pakshir, K., Pakzad, R., Palicz, T., Pandey, A., Pant, S., Pardhan, S., Park, E. -C., Park, E. -K., Pashazadeh Kan, F., Paudel, R., Pawar, S., Peng, M., Pereira, G., Perna, S., Perumalsamy, N., Petcu, I. -R., Pigott, D. M., Piracha, Z. Z., Podder, V., Polibin, R. V., Postma, M. J., Pourasghari, H., Pourtaheri, N., Qadir, M. M. F., Raad, M., Rabiee, M., Rabiee, N., Raeghi, S., Rafiei, A., Rahim, F., Rahimi, M., Rahimi-Movaghar, V., Rahman, A., Rahman, M. O., Rahman, M., Rahman, M. A., Rahmani, A. M., Rahmanian, V., Ram, P., Ramezanzadeh, K., Rana, J., Ranasinghe, P., Rani, U., Rao, S. J., Rashedi, S., Rashidi, M. -M., Rasul, A., Ratan, Z. A., Rawaf, D. L., Rawaf, S., Rawassizadeh, R., Razeghinia, M. S., Redwan, E. M. M., Reitsma, M. B., Renzaho, A. M. N., Rezaeian, M., Riad, A., Rikhtegar, R., Rodriguez, J. A. B., Rogowski, E. L. B., Ronfani, L., Rudd, K. E., Saddik, B., Sadeghi, E., Saeed, U., Safary, A., Safi, S. Z., Sahebazzamani, M., Sahebkar, A., Sakhamuri, S., Salehi, S., Salman, M., Samadi Kafil, H., Samy, A. M., Santric-Milicevic, M. M., Sao Jose, B. P., Sarkhosh, M., Sathian, B., Sawhney, M., Saya, G. K., Seidu, A. -A., Seylani, A., Shaheen, A. A., Shaikh, M. A., Shaker, E., Shamshad, H., Sharew, M. M., Sharhani, A., Sharifi, A., Sharma, P., Sheidaei, A., Shenoy, S. M., Shetty, J. K., Shiferaw, D. S., Shigematsu, M., Shin, J. I., Shirzad-Aski, H., Shivakumar, K. M., Shivalli, S., Shobeiri, P., Simegn, W., Simpson, C. R., Singh, H., Singh, J. A., Singh, P., Siwal, S. S., Skryabin, V. Y., Skryabina, A. A., Soltani-Zangbar, M. S., Song, S., Song, Y., Sood, P., Sreeramareddy, C. T., Steiropoulos, P., Suleman, M., Tabatabaeizadeh, S. -A., Tahamtan, A., Taheri, M., Taheri Soodejani, M., Taki, E., Talaat, I. M., Tampa, M., Tandukar, S., Tat, N. Y., Tat, V. Y., Tefera, Y. M., Temesgen, G., Temsah, M. -H., Tesfaye, A., Tesfaye, D. G., Tessema, B., Thapar, R., Ticoalu, J. H. V., Tiyuri, A., Tleyjeh, I. I., Togtmol, M., Tovani-Palone, M. R., Tufa, D. G., Ullah, I., Upadhyay, E., Valadan Tahbaz, S., Valdez, P. R., Valizadeh, R., Vardavas, C., Vasankari, T. J., Vo, B., Vu, L. G., Wagaye, B., Waheed, Y., Wang, Y., Waris, A., West, T. E., Wickramasinghe, N. D., Xu, X., Yaghoubi, S., Yahya, G. A. T., Yahyazadeh Jabbari, S. H., Yon, D. K., Yonemoto, N., Zaman, B. A., Zandifar, A., Zangiabadian, M., Zar, H. J., Zare, I., Zareshahrabadi, Z., Zarrintan, A., Zastrozhin, M. S., Zeng, W., Zhang, M., Zhang, Z. -J., Zhong, C., Zoladl, M., Zumla, A., Lim, S. S., Vos, T., Naghavi, M., Brauer, M., Hay, S. I., Murray, C. J. L., University of St Andrews. School of Medicine, University of St Andrews. Population and Behavioural Science Division, Tampere University, Health Sciences, Clinical Medicine, Kyu, H, Vongpradith, A, Sirota, S, Novotney, A, Troeger, C, Doxey, M, Bender, R, Ledesma, J, Biehl, M, Albertson, S, Frostad, J, Burkart, K, Bennitt, F, Zhao, J, Gardner, W, Hagins, H, Bryazka, D, Dominguez, R, Abate, S, Abdelmasseh, M, Abdoli, A, Abdoli, G, Abedi, A, Abedi, V, Abegaz, T, Abidi, H, Aboagye, R, Abolhassani, H, Abtew, Y, Abubaker Ali, H, Abu-Gharbieh, E, Abu-Zaid, A, Adamu, K, Addo, I, Adegboye, O, Adnan, M, Adnani, Q, Afzal, M, Afzal, S, Ahinkorah, B, Ahmad, A, Ahmad, S, Ahmadi, A, Ahmadi, S, Ahmed, H, Ahmed, J, Ahmed Rashid, T, Akbarzadeh-Khiavi, M, Al Hamad, H, Albano, L, Aldeyab, M, Alemu, B, Alene, K, Algammal, A, Alhalaiqa, F, Alhassan, R, Ali, B, Ali, L, Ali, M, Ali, S, Alimohamadi, Y, Alipour, V, Al-Jumaily, A, Aljunid, S, Almustanyir, S, Al-Raddadi, R, Al-Rifai, R, Alryalat, S, Alvis-Guzman, N, Alvis-Zakzuk, N, Ameyaw, E, Aminian Dehkordi, J, Amuasi, J, Amugsi, D, Anbesu, E, Ansar, A, Anyasodor, A, Arabloo, J, Areda, D, Argaw, A, Argaw, Z, Arulappan, J, Aruleba, R, Asemahagn, M, Athari, S, Atlaw, D, Attia, E, Attia, S, Aujayeb, A, Awoke, T, Ayana, T, Ayanore, M, Azadnajafabad, S, Azangou-Khyavy, M, Azari, S, Azari Jafari, A, Badar, M, Badiye, A, Baghcheghi, N, Bagherieh, S, Baig, A, Banach, M, Banerjee, I, Bardhan, M, Barone-Adesi, F, Barqawi, H, Barrow, A, Bashiri, A, Bassat, Q, Batiha, A, Belachew, A, Belete, M, Belgaumi, U, Bhagavathula, A, Bhardwaj, N, Bhardwaj, P, Bhatt, P, Bhojaraja, V, Bhutta, Z, Bhuyan, S, Bijani, A, Bitaraf, S, Bodicha, B, Briko, N, Buonsenso, D, Butt, M, Cai, J, Camargos, P, Camera, L, Chakraborty, P, Chanie, M, Charan, J, Chattu, V, Ching, P, Choi, S, Chong, Y, Choudhari, S, Chowdhury, E, Christopher, D, Chu, D, Cobb, N, Cohen, A, Cruz-Martins, N, Dadras, O, Dagnaw, F, Dai, X, Dandona, L, Dandona, R, Dao, A, Debela, S, Demisse, B, Demisse, F, Demissie, S, Dereje, D, Desai, H, Desta, A, Desye, B, Dhingra, S, Diao, N, Diaz, D, Digesa, L, Doan, L, Dodangeh, M, Dongarwar, D, Dorostkar, F, dos Santos, W, Dsouza, H, Dubljanin, E, Durojaiye, O, Edinur, H, Ehsani-Chimeh, E, Eini, E, Ekholuenetale, M, Ekundayo, T, El Desouky, E, El Sayed, I, El Sayed Zaki, M, Elhadi, M, Elkhapery, A, Emami, A, Engelbert Bain, L, Erkhembayar, R, Etaee, F, Ezati Asar, M, Fagbamigbe, A, Falahi, S, Fallahzadeh, A, Faraj, A, Faraon, E, Fatehizadeh, A, Ferrara, P, Ferrari, A, Fetensa, G, Fischer, F, Flavel, J, Foroutan, M, Gaal, P, Gaidhane, A, Gaihre, S, Galehdar, N, Garcia-Basteiro, A, Garg, T, Gebrehiwot, M, Gebremichael, M, Gela, Y, Gemeda, B, Gessner, B, Getachew, M, Getie, A, Ghamari, S, Ghasemi Nour, M, Ghashghaee, A, Gholamrezanezhad, A, Gholizadeh, A, Ghosh, R, Ghozy, S, Goleij, P, Golitaleb, M, Gorini, G, Goulart, A, Goyomsa, G, Guadie, H, Gudisa, Z, Guled, R, Gupta, S, Gupta, V, Guta, A, Habibzadeh, P, Haj-Mirzaian, A, Halwani, R, Hamidi, S, Hannan, M, Harorani, M, Hasaballah, A, Hasani, H, Hassan, A, Hassani, S, Hassanian-Moghaddam, H, Hassankhani, H, Hayat, K, Heibati, B, Heidari, M, Heyi, D, Hezam, K, Holla, R, Hong, S, Horita, N, Hosseini, M, Hosseinzadeh, M, Hostiuc, M, Househ, M, Hoveidamanesh, S, Huang, J, Hussein, N, Iavicoli, I, Ibitoye, S, Ikuta, K, Ilesanmi, O, Ilic, I, Ilic, M, Immurana, M, Ismail, N, Iwagami, M, Jaafari, J, Jamshidi, E, Jang, S, Javadi Mamaghani, A, Javaheri, T, Javanmardi, F, Javidnia, J, Jayapal, S, Jayarajah, U, Jayaram, S, Jema, A, Jeong, W, Jonas, J, Joseph, N, Joukar, F, Jozwiak, J, K, V, Kabir, Z, Kacimi, S, Kadashetti, V, Kalankesh, L, Kalhor, R, Kamath, A, Kamble, B, Kandel, H, Kanko, T, Karaye, I, Karch, A, Karkhah, S, Kassa, B, Katoto, P, Kaur, H, Kaur, R, Keikavoosi-Arani, L, Keykhaei, M, Khader, Y, Khajuria, H, Khan, E, Khan, G, Khan, I, Khan, M, Khan, Y, Khatatbeh, M, Khosravifar, M, Khubchandani, J, Kim, M, Kimokoti, R, Kisa, A, Kisa, S, Kissoon, N, Knibbs, L, Kochhar, S, Kompani, F, Koohestani, H, Korshunov, V, Kosen, S, Koul, P, Koyanagi, A, Krishan, K, Kuate Defo, B, Kumar, G, Kurmi, O, Kuttikkattu, A, Lal, D, Lam, J, Landires, I, Ledda, C, Lee, S, Levi, M, Lewycka, S, Liu, G, Liu, W, Lodha, R, Lorenzovici, L, Lotfi, M, Loureiro, J, Madadizadeh, F, Mahmoodpoor, A, Mahmoudi, R, Mahmoudimanesh, M, Majidpoor, J, Makki, A, Malakan Rad, E, Malik, A, Mallhi, T, Manla, Y, Matei, C, Mathioudakis, A, Maude, R, Mehrabi Nasab, E, Melese, A, Memish, Z, Mendoza-Cano, O, Mentis, A, Meretoja, T, Merid, M, Mestrovic, T, Micheletti Gomide Nogueira de Sa, A, Mijena, G, Minh, L, Mir, S, Mirfakhraie, R, Mirmoeeni, S, Mirza, A, Mirza, M, Mirza-Aghazadeh-Attari, M, Misganaw, A, Mohammadi, E, Mohammadi, M, Mohammed, A, Mohammed, S, Mohan, S, Mohseni, M, Moka, N, Mokdad, A, Momtazmanesh, S, Monasta, L, Moniruzzaman, M, Montazeri, F, Moore, C, Moradi, A, Morawska, L, Mosser, J, Mostafavi, E, Motaghinejad, M, Mousavi Isfahani, H, Mousavi-Aghdas, S, Mubarik, S, Murillo-Zamora, E, Mustafa, G, Nair, S, Nair, T, Najafi, H, Naqvi, A, Narasimha Swamy, S, Natto, Z, Nayak, B, Nejadghaderi, S, Nguyen, H, Niazi, R, Nogueira de Sa, A, Nouraei, H, Nowroozi, A, Nunez-Samudio, V, Nzoputam, C, Nzoputam, O, Oancea, B, Ochir, C, Odukoya, O, Okati-Aliabad, H, Okekunle, A, Okonji, O, Olagunju, A, Olufadewa, I, Omar Bali, A, Omer, E, Oren, E, Ota, E, Otstavnov, N, Oulhaj, A, P A, M, Padubidri, J, Pakshir, K, Pakzad, R, Palicz, T, Pandey, A, Pant, S, Pardhan, S, Park, E, Pashazadeh Kan, F, Paudel, R, Pawar, S, Peng, M, Pereira, G, Perna, S, Perumalsamy, N, Petcu, I, Pigott, D, Piracha, Z, Podder, V, Polibin, R, Postma, M, Pourasghari, H, Pourtaheri, N, Qadir, M, Raad, M, Rabiee, M, Rabiee, N, Raeghi, S, Rafiei, A, Rahim, F, Rahimi, M, Rahimi-Movaghar, V, Rahman, A, Rahman, M, Rahmani, A, Rahmanian, V, Ram, P, Ramezanzadeh, K, Rana, J, Ranasinghe, P, Rani, U, Rao, S, Rashedi, S, Rashidi, M, Rasul, A, Ratan, Z, Rawaf, D, Rawaf, S, Rawassizadeh, R, Razeghinia, M, Redwan, E, Reitsma, M, Renzaho, A, Rezaeian, M, Riad, A, Rikhtegar, R, Rodriguez, J, Rogowski, E, Ronfani, L, Rudd, K, Saddik, B, Sadeghi, E, Saeed, U, Safary, A, Safi, S, Sahebazzamani, M, Sahebkar, A, Sakhamuri, S, Salehi, S, Salman, M, Samadi Kafil, H, Samy, A, Santric-Milicevic, M, Sao Jose, B, Sarkhosh, M, Sathian, B, Sawhney, M, Saya, G, Seidu, A, Seylani, A, Shaheen, A, Shaikh, M, Shaker, E, Shamshad, H, Sharew, M, Sharhani, A, Sharifi, A, Sharma, P, Sheidaei, A, Shenoy, S, Shetty, J, Shiferaw, D, Shigematsu, M, Shin, J, Shirzad-Aski, H, Shivakumar, K, Shivalli, S, Shobeiri, P, Simegn, W, Simpson, C, Singh, H, Singh, J, Singh, P, Siwal, S, Skryabin, V, Skryabina, A, Soltani-Zangbar, M, Song, S, Song, Y, Sood, P, Sreeramareddy, C, Steiropoulos, P, Suleman, M, Tabatabaeizadeh, S, Tahamtan, A, Taheri, M, Taheri Soodejani, M, Taki, E, Talaat, I, Tampa, M, Tandukar, S, Tat, N, Tat, V, Tefera, Y, Temesgen, G, Temsah, M, Tesfaye, A, Tesfaye, D, Tessema, B, Thapar, R, Ticoalu, J, Tiyuri, A, Tleyjeh, I, Togtmol, M, Tovani-Palone, M, Tufa, D, Ullah, I, Upadhyay, E, Valadan Tahbaz, S, Valdez, P, Valizadeh, R, Vardavas, C, Vasankari, T, Vo, B, Vu, L, Wagaye, B, Waheed, Y, Wang, Y, Waris, A, West, T, Wickramasinghe, N, Xu, X, Yaghoubi, S, Yahya, G, Yahyazadeh Jabbari, S, Yon, D, Yonemoto, N, Zaman, B, Zandifar, A, Zangiabadian, M, Zar, H, Zare, I, Zareshahrabadi, Z, Zarrintan, A, Zastrozhin, M, Zeng, W, Zhang, M, Zhang, Z, Zhong, C, Zoladl, M, Zumla, A, Lim, S, Vos, T, Naghavi, M, Brauer, M, Hay, S, Murray, C, HUS Comprehensive Cancer Center, and Department of Oncology
- Subjects
Adult ,Male ,Global Health ,Time ,Global Burden of Disease ,SDG 3 - Good Health and Well-being ,Risk Factors ,RA0421 ,RA0421 Public health. Hygiene. Preventive Medicine ,Humans ,Ambient air-quality ,Child ,Respiratory Tract Infections ,Aged ,Aged, 80 and over ,MCC ,Sex Characteristics ,Malnutrition ,Pyridinolcarbamate ,Bayes Theorem ,3rd-DAS ,3142 Public health care science, environmental and occupational health ,Infectious Diseases ,3121 General medicine, internal medicine and other clinical medicine ,Child, Preschool ,Female ,Particulate Matter ,Quality-Adjusted Life Years ,Covid-19 ,LRI - Abstract
Funding: Bill & Melinda Gates Foundation. Background: The global burden of lower respiratory infections (LRIs) and corresponding risk factors in children older than 5 years and adults has not been studied as comprehensively as it has been in children younger than 5 years. We assessed the burden and trends of LRIs and risk factors across all age groups by sex, for 204 countries and territories. Methods: In this analysis of data for the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2019, we used clinician-diagnosed pneumonia or bronchiolitis as our case definition for LRIs. We included International Classification of Diseases 9th edition codes 079.6, 466–469, 470.0, 480–482.8, 483.0–483.9, 484.1–484.2, 484.6–484.7, and 487–489 and International Classification of Diseases 10th edition codes A48.1, A70, B97.4–B97.6, J09–J15.8, J16–J16.9, J20–J21.9, J91.0, P23.0–P23.4, and U04–U04.9. We used the Cause of Death Ensemble modelling strategy to analyse 23 109 site-years of vital registration data, 825 site-years of sample vital registration data, 1766 site-years of verbal autopsy data, and 681 site-years of mortality surveillance data. We used DisMod-MR 2.1, a Bayesian meta-regression tool, to analyse age–sex-specific incidence and prevalence data identified via systematic reviews of the literature, population-based survey data, and claims and inpatient data. Additionally, we estimated age–sex-specific LRI mortality that is attributable to the independent effects of 14 risk factors. Findings: Globally, in 2019, we estimated that there were 257 million (95% uncertainty interval [UI] 240–275) LRI incident episodes in males and 232 million (217–248) in females. In the same year, LRIs accounted for 1·30 million (95% UI 1·18–1·42) male deaths and 1·20 million (1·07–1·33) female deaths. Age-standardised incidence and mortality rates were 1·17 times (95% UI 1·16–1·18) and 1·31 times (95% UI 1·23–1·41) greater in males than in females in 2019. Between 1990 and 2019, LRI incidence and mortality rates declined at different rates across age groups and an increase in LRI episodes and deaths was estimated among all adult age groups, with males aged 70 years and older having the highest increase in LRI episodes (126·0% [95% UI 121·4–131·1]) and deaths (100·0% [83·4–115·9]). During the same period, LRI episodes and deaths in children younger than 15 years were estimated to have decreased, and the greatest decline was observed for LRI deaths in males younger than 5 years (–70·7% [–77·2 to –61·8]). The leading risk factors for LRI mortality varied across age groups and sex. More than half of global LRI deaths in children younger than 5 years were attributable to child wasting (population attributable fraction [PAF] 53·0% [95% UI 37·7–61·8] in males and 56·4% [40·7–65·1] in females), and more than a quarter of LRI deaths among those aged 5–14 years were attributable to household air pollution (PAF 26·0% [95% UI 16·6–35·5] for males and PAF 25·8% [16·3–35·4] for females). PAFs of male LRI deaths attributed to smoking were 20·4% (95% UI 15·4–25·2) in those aged 15–49 years, 30·5% (24·1–36·9) in those aged 50–69 years, and 21·9% (16·8–27·3) in those aged 70 years and older. PAFs of female LRI deaths attributed to household air pollution were 21·1% (95% UI 14·5–27·9) in those aged 15–49 years and 18·2% (12·5–24·5) in those aged 50–69 years. For females aged 70 years and older, the leading risk factor, ambient particulate matter, was responsible for 11·7% (95% UI 8·2–15·8) of LRI deaths. Interpretation: The patterns and progress in reducing the burden of LRIs and key risk factors for mortality varied across age groups and sexes. The progress seen in children younger than 5 years was clearly a result of targeted interventions, such as vaccination and reduction of exposure to risk factors. Similar interventions for other age groups could contribute to the achievement of multiple Sustainable Development Goals targets, including promoting wellbeing at all ages and reducing health inequalities. Interventions, including addressing risk factors such as child wasting, smoking, ambient particulate matter pollution, and household air pollution, would prevent deaths and reduce health disparities. Publisher PDF
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- 2022
6. Population-level risks of alcohol consumption by amount, geography, age, sex, and year: a systematic analysis for the Global Burden of Disease Study 2020
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Dana Bryazka, Marissa B Reitsma, Max G Griswold, Kalkidan Hassen Abate, Cristiana Abbafati, Mohsen Abbasi-Kangevari, Zeinab Abbasi-Kangevari, Amir Abdoli, Mohammad Abdollahi, Abu Yousuf Md Abdullah, E S Abhilash, Eman Abu-Gharbieh, Juan Manuel Acuna, Giovanni Addolorato, Oladimeji M Adebayo, Victor Adekanmbi, Kishor Adhikari, Sangeet Adhikari, Qorinah Estiningtyas Sakilah Adnani, Saira Afzal, Wubetu Yimam Agegnehu, Manik Aggarwal, Bright Opoku Ahinkorah, Araz Ramazan Ahmad, Sajjad Ahmad, Tauseef Ahmad, Ali Ahmadi, Sepideh Ahmadi, Haroon Ahmed, Tarik Ahmed Rashid, Chisom Joyqueenet Akunna, Hanadi Al Hamad, Md Zakiul Alam, Dejene Tsegaye Alem, Kefyalew Addis Alene, Yousef Alimohamadi, Atiyeh Alizadeh, Kasim Allel, Jordi Alonso, Saba Alvand, Nelson Alvis-Guzman, Firehiwot Amare, Edward Kwabena Ameyaw, Sohrab Amiri, Robert Ancuceanu, Jason A Anderson, Catalina Liliana Andrei, Tudorel Andrei, Jalal Arabloo, Muhammad Arshad, Anton A Artamonov, Zahra Aryan, Malke Asaad, Mulusew A Asemahagn, Thomas Astell-Burt, Seyyed Shamsadin Athari, Desta Debalkie Atnafu, Prince Atorkey, Alok Atreya, Floriane Ausloos, Marcel Ausloos, Getinet Ayano, Martin Amogre ayanore Ayanore, Olatunde O Ayinde, Jose L Ayuso-Mateos, Sina Azadnajafabad, Melkalem Mamuye Azanaw, Mohammadreza Azangou-Khyavy, Amirhossein Azari Jafari, Ahmed Y Azzam, Ashish D Badiye, Nasser Bagheri, Sara Bagherieh, Mohan Bairwa, Shankar M Bakkannavar, Ravleen Kaur Bakshi, Awraris Hailu Balchut/Bilchut, Till Winfried Bärnighausen, Fabio Barra, Amadou Barrow, Pritish Baskaran, Luis Belo, Derrick A Bennett, Isabela M Benseñor, Akshaya Srikanth Bhagavathula, Neeraj Bhala, Ashish Bhalla, Nikha Bhardwaj, Pankaj Bhardwaj, Sonu Bhaskar, Krittika Bhattacharyya, Vijayalakshmi S Bhojaraja, Bagas Suryo Bintoro, Elena A Elena Blokhina, Belay Boda Abule Bodicha, Archith Boloor, Cristina Bosetti, Dejana Braithwaite, Hermann Brenner, Nikolay Ivanovich Briko, Andre R Brunoni, Zahid A Butt, Chao Cao, Yin Cao, Rosario Cárdenas, Andre F Carvalho, Márcia Carvalho, Joao Mauricio Castaldelli-Maia, Giulio Castelpietra, Luis F S Castro-de-Araujo, Maria Sofia Cattaruzza, Promit Ananyo Chakraborty, Jaykaran Charan, Vijay Kumar Chattu, Akhilanand Chaurasia, Nicolas Cherbuin, Dinh-Toi Chu, Nandita Chudal, Sheng-Chia Chung, Chuchu Churko, Liliana G Ciobanu, Massimo Cirillo, Rafael M Claro, Simona Costanzo, Richard G Cowden, Michael H Criqui, Natália Cruz-Martins, Garland T Culbreth, Berihun Assefa Dachew, Omid Dadras, Xiaochen Dai, Giovanni Damiani, Lalit Dandona, Rakhi Dandona, Beniam Darge Daniel, Anna Danielewicz, Jiregna Darega Gela, Kairat Davletov, Jacyra Azevedo Paiva de Araujo, Antonio Reis de Sá-Junior, Sisay Abebe Debela, Azizallah Dehghan, Andreas K Demetriades, Meseret Derbew Molla, Rupak Desai, Abebaw Alemayehu Desta, Diana Dias da Silva, Daniel Diaz, Lankamo Ena Digesa, Mengistie Diress, Milad Dodangeh, Deepa Dongarwar, Fariba Dorostkar, Haneil Larson Dsouza, Bereket Duko, Bruce B Duncan, Kristina Edvardsson, Michael Ekholuenetale, Frank J Elgar, Muhammed Elhadi, Mohamed A Elmonem, Aman Yesuf Endries, Sharareh Eskandarieh, Azin Etemadimanesh, Adeniyi Francis Fagbamigbe, Ildar Ravisovich Fakhradiyev, Fatemeh Farahmand, Carla Sofia e Sá Farinha, Andre Faro, Farshad Farzadfar, Ali Fatehizadeh, Nelsensius Klau Fauk, Valery L Feigin, Rachel Feldman, Xiaoqi Feng, Zinabu Fentaw, Simone Ferrero, Lorenzo Ferro Desideri, Irina Filip, Florian Fischer, Joel Msafiri Francis, Richard Charles Franklin, Peter Andras Gaal, Mohamed M Gad, Silvano Gallus, Fabio Galvano, Balasankar Ganesan, Tushar Garg, Mesfin Gebrehiwot Damtew Gebrehiwot, Teferi Gebru Gebremeskel, Mathewos Alemu Gebremichael, Tadele Regasa Gemechu, Lemma Getacher, Motuma Erena Getachew, Abera Getachew Obsa, Asmare Getie, Amir Ghaderi, Mansour Ghafourifard, Alireza Ghajar, Seyyed-Hadi Ghamari, Lilian A Ghandour, Mohammad Ghasemi Nour, Ahmad Ghashghaee, Sherief Ghozy, Franklin N Glozah, Ekaterina Vladimirovna Glushkova, Justyna Godos, Amit Goel, Salime Goharinezhad, Mahaveer Golechha, Pouya Goleij, Mohamad Golitaleb, Felix Greaves, Michal Grivna, Giuseppe Grosso, Temesgen Worku Gudayu, Bhawna Gupta, Rajeev Gupta, Sapna Gupta, Veer Bala Gupta, Vivek Kumar Gupta, Nima Hafezi-Nejad, Arvin Haj-Mirzaian, Brian J Hall, Rabih Halwani, Tiilahun Beyene Handiso, Graeme J Hankey, Sanam Hariri, Josep Maria Haro, Ahmed I Hasaballah, Hossein Hassanian-Moghaddam, Simon I Hay, Khezar Hayat, Golnaz Heidari, Mohammad Heidari, Delia Hendrie, Claudiu Herteliu, Demisu Zenbaba Heyi, Kamal Hezam, Mbuzeleni Mbuzeleni Hlongwa, Ramesh Holla, Md Mahbub Hossain, Sahadat Hossain, Seyed Kianoosh Hosseini, Mehdi hosseinzadeh, Mihaela Hostiuc, Sorin Hostiuc, Guoqing Hu, Junjie Huang, Salman Hussain, Segun Emmanuel Ibitoye, Irena M Ilic, Milena D Ilic, Mustapha Immurana, Lalu Muhammad Irham, M Mofizul Islam, Rakibul M Islam, Sheikh Mohammed Shariful Islam, Hiroyasu Iso, Ramaiah Itumalla, Masao Iwagami, Roxana Jabbarinejad, Louis Jacob, Mihajlo Jakovljevic, Zahra Jamalpoor, Elham Jamshidi, Sathish Kumar Jayapal, Umesh Umesh Jayarajah, Ranil Jayawardena, Rime Jebai, Seyed Ali Jeddi, Alelign Tasew Jema, Ravi Prakash Jha, Har Ashish Jindal, Jost B Jonas, Tamas Joo, Nitin Joseph, Farahnaz Joukar, Jacek Jerzy Jozwiak, Mikk Jürisson, Ali Kabir, Robel Hussen Kabthymer, Bhushan Dattatray Kamble, Himal Kandel, Girum Gebremeskel Kanno, Neeti Kapoor, Ibraheem M Karaye, Salah Eddin Karimi, Bekalu Getnet Kassa, Rimple Jeet Kaur, Gbenga A Kayode, Mohammad Keykhaei, Himanshu Khajuria, Rovshan Khalilov, Imteyaz A Khan, Moien AB Khan, Hanna Kim, Jihee Kim, Min Seo Kim, Ruth W Kimokoti, Mika Kivimäki, Vitalii Klymchuk, Ann Kristin Skrindo Knudsen, Ali-Asghar Kolahi, Vladimir Andreevich Korshunov, Ai Koyanagi, Kewal Krishan, Yuvaraj Krishnamoorthy, G Anil Kumar, Narinder Kumar, Nithin Kumar, Ben Lacey, Tea Lallukka, Savita Lasrado, Jerrald Lau, Sang-woong Lee, Wei-Chen Lee, Yo Han Lee, Lee-Ling Lim, Stephen S Lim, Stany W Lobo, Platon D Lopukhov, Stefan Lorkowski, Rafael Lozano, Giancarlo Lucchetti, Farzan Madadizadeh, Áurea M Madureira-Carvalho, Soleiman Mahjoub, Ata Mahmoodpoor, Rashidul Alam Mahumud, Alaa Makki, Mohammad-Reza Malekpour, Narayana Manjunatha, Borhan Mansouri, Mohammad Ali Mansournia, Jose Martinez-Raga, Francisco A Martinez-Villa, Richard Matzopoulos, Pallab K Maulik, Mahsa Mayeli, John J McGrath, Jitendra Kumar Meena, Entezar Mehrabi Nasab, Ritesh G Menezes, Gert B M Mensink, Alexios-Fotios A Mentis, Atte Meretoja, Bedasa Taye Merga, Tomislav Mestrovic, Junmei Miao Jonasson, Bartosz Miazgowski, Ana Carolina Micheletti Gomide Nogueira de Sá, Ted R Miller, GK Mini, Andreea Mirica, Antonio Mirijello, Seyyedmohammadsadeq Mirmoeeni, Erkin M Mirrakhimov, Sanjeev Misra, Babak Moazen, Maryam Mobarakabadi, Marcello Moccia, Yousef Mohammad, Esmaeil Mohammadi, Abdollah Mohammadian-Hafshejani, Teroj Abdulrahman Mohammed, Nagabhishek Moka, Ali H Mokdad, Sara Momtazmanesh, Yousef Moradi, Ebrahim Mostafavi, Sumaira Mubarik, Erin C Mullany, Beemnet Tekabe Mulugeta, Efrén Murillo-Zamora, Christopher J L Murray, Julius C Mwita, Mohsen Naghavi, Mukhammad David Naimzada, Vinay Nangia, Biswa Prakash Nayak, Ionut Negoi, Ruxandra Irina Negoi, Seyed Aria Nejadghaderi, Samata Nepal, Sudan Prasad Prasad Neupane, Sandhya Neupane Kandel, Yeshambel T Nigatu, Ali Nowroozi, Khan M Nuruzzaman, Chimezie Igwegbe Nzoputam, Kehinde O Obamiro, Felix Akpojene Ogbo, Ayodipupo Sikiru Oguntade, Hassan Okati-Aliabad, Babayemi Oluwaseun Olakunde, Gláucia Maria Moraes Oliveira, Ahmed Omar Bali, Emad Omer, Doris V Ortega-Altamirano, Adrian Otoiu, Stanislav S Otstavnov, Bilcha Oumer, Mahesh P A, Alicia Padron-Monedero, Raffaele Palladino, Adrian Pana, Songhomitra Panda-Jonas, Anamika Pandey, Ashok Pandey, Shahina Pardhan, Tarang Parekh, Eun-Kee Park, Charles D H Parry, Fatemeh Pashazadeh Kan, Jay Patel, Siddhartha Pati, George C Patton, Uttam Paudel, Shrikant Pawar, Amy E Peden, Ionela-Roxana Petcu, Michael R Phillips, Marina Pinheiro, Evgenii Plotnikov, Pranil Man Singh Pradhan, Akila Prashant, Jianchao Quan, Amir Radfar, Alireza Rafiei, Pankaja Raghav Raghav, Vafa Rahimi-Movaghar, Azizur Rahman, Md Mosfequr Rahman, Mosiur Rahman, Amir Masoud Rahmani, Shayan Rahmani, Chhabi Lal Ranabhat, Priyanga Ranasinghe, Chythra R Rao, Drona Prakash Rasali, Mohammad-Mahdi Rashidi, Zubair Ahmed Ratan, David Laith Rawaf, Salman Rawaf, Lal Rawal, Andre M N Renzaho, Negar Rezaei, Saeid Rezaei, Mohsen Rezaeian, Seyed Mohammad Riahi, Esperanza Romero-Rodríguez, Gregory A Roth, Godfrey M Rwegerera, Basema Saddik, Erfan Sadeghi, Reihaneh Sadeghian, Umar Saeed, Farhad Saeedi, Rajesh Sagar, Amirhossein Sahebkar, Harihar Sahoo, Mohammad Ali Sahraian, KM Saif-Ur-Rahman, Sarvenaz Salahi, Hamideh Salimzadeh, Abdallah M Samy, Francesco Sanmarchi, Milena M Santric-Milicevic, Yaser Sarikhani, Brijesh Sathian, Ganesh Kumar Saya, Mehdi Sayyah, Maria Inês Schmidt, Aletta Elisabeth Schutte, Michaël Schwarzinger, David C Schwebel, Abdul-Aziz Seidu, Nachimuthu Senthil Kumar, SeyedAhmad SeyedAlinaghi, Allen Seylani, Feng Sha, Sarvenaz Shahin, Fariba Shahraki-Sanavi, Shayan Shahrokhi, Masood Ali Shaikh, Elaheh Shaker, Murad Ziyaudinovich Shakhmardanov, Mehran Shams-Beyranvand, Sara Sheikhbahaei, Rahim Ali Sheikhi, Adithi Shetty, Jeevan K Shetty, Damtew Solomon Shiferaw, Mika Shigematsu, Rahman Shiri, Reza Shirkoohi, K M Shivakumar, Velizar Shivarov, Parnian Shobeiri, Roman Shrestha, Negussie Boti Sidemo, Inga Dora Sigfusdottir, Diego Augusto Santos Silva, Natacha Torres da Silva, Jasvinder A Singh, Surjit Singh, Valentin Yurievich Skryabin, Anna Aleksandrovna Skryabina, David A Sleet, Marco Solmi, YONATAN SOLOMON, Suhang Song, Yimeng Song, Reed J D Sorensen, Sergey Soshnikov, Ireneous N Soyiri, Dan J Stein, Sonu Hangma Subba, Miklós Szócska, Rafael Tabarés-Seisdedos, Takahiro Tabuchi, Majid Taheri, Ker-Kan Tan, Minale Tareke, Elvis Enowbeyang Tarkang, Gebremaryam Temesgen, Worku Animaw Temesgen, Mohamad-Hani Temsah, Kavumpurathu Raman Thankappan, Rekha Thapar, Nikhil Kenny Thomas, Chalachew Tiruneh, Jovana Todorovic, Marco Torrado, Mathilde Touvier, Marcos Roberto Tovani-Palone, Mai Thi Ngoc Tran, Sergi Trias-Llimós, Jaya Prasad Tripathy, Alireza Vakilian, Rohollah Valizadeh, Mehdi Varmaghani, Shoban Babu Varthya, Tommi Juhani Vasankari, Theo Vos, Birhanu Wagaye, Yasir Waheed, Mandaras Tariku Walde, Cong Wang, Yanzhong Wang, Yuan-Pang Wang, Ronny Westerman, Nuwan Darshana Wickramasinghe, Abate Dargie Wubetu, Suowen Xu, Kazumasa Yamagishi, Lin Yang, Gesila Endashaw E Yesera, Arzu Yigit, Vahit Yiğit, Ayenew Engida Ayenew Engida Yimaw, Dong Keon Yon, Naohiro Yonemoto, Chuanhua Yu, Siddhesh Zadey, Mazyar Zahir, Iman Zare, Mikhail Sergeevich Zastrozhin, Anasthasia Zastrozhina, Zhi-Jiang Zhang, Chenwen Zhong, Mohammad Zmaili, Yves Miel H Zuniga, Emmanuela Gakidou, University of St Andrews. School of Medicine, University of St Andrews. Population and Behavioural Science Division, Department of Public Health, University of Helsinki, Hjelt Institute (-2014), Helsinki Inequality Initiative (INEQ), Clinicum, Helsinki University Hospital Area, Bill & Melinda Gates Foundation, King Edward Medical University (Pakistán), Alexander von Humboldt Foundation, University of Oxford (Reino Unido), Medical Research Council (Reino Unido), NIH - National Institute of Mental Health (NIMH) (Estados Unidos), Canada Research Chairs, National Health and Medical Research Council (Australia), National Heart Foundation of Australia, Ministry of Education, Science and Technological Development (Serbia), Wellcome Trust, NIH - National Institute on Aging (NIA) (Estados Unidos), Finlands Akademi (Finlandia), Panjab University (India), Federal Ministry of Education & Research (Alemania), National Council for Scientific and Technological Development (Brasil), Danish National Research Foundation, Queensland Centre for Mental Health Research (Australia), South African Medical Research Council, National Natural Science Foundation of China, Charles Sturt University (Australia), Ain Shams University (Egipto), Mizoram University (India), Kasturba Medical College (India), Manipal Academy of Higher Education (India), Coordenação de Aperfeicoamento de Pessoal de Nível Superior (Brasil), Ministerio de Ciencia e Innovación (España), Collaborators, GBD 2020 Alcohol, Bryazka, Dana, Reitsma, Marissa B, Griswold, Max G, Abate, Kalkidan Hassen, Abbafati, Cristiana, Abbasi-Kangevari, Mohsen, Abbasi-Kangevari, Zeinab, Abdoli, Amir, Abdollahi, Mohammad, Abdullah, Abu Yousuf Md, Abhilash, E S, Abu-Gharbieh, Eman, Acuna, Juan Manuel, Addolorato, Giovanni, Adebayo, Oladimeji M, Adekanmbi, Victor, Adhikari, Kishor, Adhikari, Sangeet, Adnani, Qorinah Estiningtyas Sakilah, Afzal, Saira, Agegnehu, Wubetu Yimam, Aggarwal, Manik, Ahinkorah, Bright Opoku, Ahmad, Araz Ramazan, Ahmad, Sajjad, Ahmad, Tauseef, Ahmadi, Ali, Ahmadi, Sepideh, Ahmed, Haroon, Ahmed Rashid, Tarik, Akunna, Chisom Joyqueenet, Al Hamad, Hanadi, Alam, Md Zakiul, Alem, Dejene Tsegaye, Alene, Kefyalew Addi, Alimohamadi, Yousef, Alizadeh, Atiyeh, Allel, Kasim, Alonso, Jordi, Alvand, Saba, Alvis-Guzman, Nelson, Amare, Firehiwot, Ameyaw, Edward Kwabena, Amiri, Sohrab, Ancuceanu, Robert, Anderson, Jason A, Andrei, Catalina Liliana, Andrei, Tudorel, Arabloo, Jalal, Arshad, Muhammad, Artamonov, Anton A, Aryan, Zahra, Asaad, Malke, Asemahagn, Mulusew A, Astell-Burt, Thoma, Athari, Seyyed Shamsadin, Atnafu, Desta Debalkie, Atorkey, Prince, Atreya, Alok, Ausloos, Floriane, Ausloos, Marcel, Ayano, Getinet, Ayanore, Martin Amogre ayanore, Ayinde, Olatunde O, Ayuso-Mateos, Jose L, Azadnajafabad, Sina, Azanaw, Melkalem Mamuye, Azangou-Khyavy, Mohammadreza, Azari Jafari, Amirhossein, Azzam, Ahmed Y, Badiye, Ashish D, Bagheri, Nasser, Bagherieh, Sara, Bairwa, Mohan, Bakkannavar, Shankar M, Bakshi, Ravleen Kaur, Balchut/bilchut, Awraris Hailu, Bärnighausen, Till Winfried, Barra, Fabio, Barrow, Amadou, Baskaran, Pritish, Belo, Lui, Bennett, Derrick A, Benseñor, Isabela M, Bhagavathula, Akshaya Srikanth, Bhala, Neeraj, Bhalla, Ashish, Bhardwaj, Nikha, Bhardwaj, Pankaj, Bhaskar, Sonu, Bhattacharyya, Krittika, Bhojaraja, Vijayalakshmi S, Bintoro, Bagas Suryo, Blokhina, Elena A Elena, Bodicha, Belay Boda Abule, Boloor, Archith, Bosetti, Cristina, Braithwaite, Dejana, Brenner, Hermann, Briko, Nikolay Ivanovich, Brunoni, Andre R, Butt, Zahid A, Cao, Chao, Cao, Yin, Cárdenas, Rosario, Carvalho, Andre F, Carvalho, Márcia, Castaldelli-Maia, Joao Mauricio, Castelpietra, Giulio, Castro-de-Araujo, Luis F S, Cattaruzza, Maria Sofia, Chakraborty, Promit Ananyo, Charan, Jaykaran, Chattu, Vijay Kumar, Chaurasia, Akhilanand, Cherbuin, Nicola, Chu, Dinh-Toi, Chudal, Nandita, Chung, Sheng-Chia, Churko, Chuchu, Ciobanu, Liliana G, Cirillo, Massimo, Claro, Rafael M, Costanzo, Simona, Cowden, Richard G, Criqui, Michael H, Cruz-Martins, Natália, Culbreth, Garland T, Dachew, Berihun Assefa, Dadras, Omid, Dai, Xiaochen, Damiani, Giovanni, Dandona, Lalit, Dandona, Rakhi, Daniel, Beniam Darge, Danielewicz, Anna, Darega Gela, Jiregna, Davletov, Kairat, de Araujo, Jacyra Azevedo Paiva, de Sá-Junior, Antonio Rei, Debela, Sisay Abebe, Dehghan, Azizallah, Demetriades, Andreas K, Derbew Molla, Meseret, Desai, Rupak, Desta, Abebaw Alemayehu, Dias da Silva, Diana, Diaz, Daniel, Digesa, Lankamo Ena, Diress, Mengistie, Dodangeh, Milad, Dongarwar, Deepa, Dorostkar, Fariba, Dsouza, Haneil Larson, Duko, Bereket, Duncan, Bruce B, Edvardsson, Kristina, Ekholuenetale, Michael, Elgar, Frank J, Elhadi, Muhammed, Elmonem, Mohamed A, Endries, Aman Yesuf, Eskandarieh, Sharareh, Etemadimanesh, Azin, Fagbamigbe, Adeniyi Franci, Fakhradiyev, Ildar Ravisovich, Farahmand, Fatemeh, Farinha, Carla Sofia e Sá, Faro, Andre, Farzadfar, Farshad, Fatehizadeh, Ali, Fauk, Nelsensius Klau, Feigin, Valery L, Feldman, Rachel, Feng, Xiaoqi, Fentaw, Zinabu, Ferrero, Simone, Ferro Desideri, Lorenzo, Filip, Irina, Fischer, Florian, Francis, Joel Msafiri, Franklin, Richard Charle, Gaal, Peter Andra, Gad, Mohamed M, Gallus, Silvano, Galvano, Fabio, Ganesan, Balasankar, Garg, Tushar, Gebrehiwot, Mesfin Gebrehiwot Damtew, Gebremeskel, Teferi Gebru, Gebremichael, Mathewos Alemu, Gemechu, Tadele Regasa, Getacher, Lemma, Getachew, Motuma Erena, Getachew Obsa, Abera, Getie, Asmare, Ghaderi, Amir, Ghafourifard, Mansour, Ghajar, Alireza, Ghamari, Seyyed-Hadi, Ghandour, Lilian A, Ghasemi Nour, Mohammad, Ghashghaee, Ahmad, Ghozy, Sherief, Glozah, Franklin N, Glushkova, Ekaterina Vladimirovna, Godos, Justyna, Goel, Amit, Goharinezhad, Salime, Golechha, Mahaveer, Goleij, Pouya, Golitaleb, Mohamad, Greaves, Felix, Grivna, Michal, Grosso, Giuseppe, Gudayu, Temesgen Worku, Gupta, Bhawna, Gupta, Rajeev, Gupta, Sapna, Gupta, Veer Bala, Gupta, Vivek Kumar, Hafezi-Nejad, Nima, Haj-Mirzaian, Arvin, Hall, Brian J, Halwani, Rabih, Handiso, Tiilahun Beyene, Hankey, Graeme J, Hariri, Sanam, Haro, Josep Maria, Hasaballah, Ahmed I, Hassanian-Moghaddam, Hossein, Hay, Simon I, Hayat, Khezar, Heidari, Golnaz, Heidari, Mohammad, Hendrie, Delia, Herteliu, Claudiu, Heyi, Demisu Zenbaba, Hezam, Kamal, Hlongwa, Mbuzeleni Mbuzeleni, Holla, Ramesh, Hossain, Md Mahbub, Hossain, Sahadat, Hosseini, Seyed Kianoosh, Hosseinzadeh, Mehdi, Hostiuc, Mihaela, Hostiuc, Sorin, Hu, Guoqing, Huang, Junjie, Hussain, Salman, Ibitoye, Segun Emmanuel, Ilic, Irena M, Ilic, Milena D, Immurana, Mustapha, Irham, Lalu Muhammad, Islam, M Mofizul, Islam, Rakibul M, Islam, Sheikh Mohammed Shariful, Iso, Hiroyasu, Itumalla, Ramaiah, Iwagami, Masao, Jabbarinejad, Roxana, Jacob, Loui, Jakovljevic, Mihajlo, Jamalpoor, Zahra, Jamshidi, Elham, Jayapal, Sathish Kumar, Jayarajah, Umesh Umesh, Jayawardena, Ranil, Jebai, Rime, Jeddi, Seyed Ali, Jema, Alelign Tasew, Jha, Ravi Prakash, Jindal, Har Ashish, Jonas, Jost B, Joo, Tama, Joseph, Nitin, Joukar, Farahnaz, Jozwiak, Jacek Jerzy, Jürisson, Mikk, Kabir, Ali, Kabthymer, Robel 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Nk, Feigin, Vl, Feldman, R, Feng, Xq, Fentaw, Z, Ferrero, S, Desideri, Lf, Filip, I, Fischer, F, Francis, Jm, Franklin, Rc, Gaal, Pa, Gad, Mm, Gallus, S, Galvano, F, Ganesan, B, Garg, T, Gebrehiwot, Mgd, Gebremeskel, Tg, Gebremichael, Ma, Gemechu, Tr, Getacher, L, Getachew, Me, Obsa, Ag, Getie, A, Ghaderi, A, Ghafourifard, M, Ghajar, A, Ghamari, Sh, Ghandour, La, Nour, Mg, Ghashghaee, A, Ghozy, S, Glozah, Fn, Glushkova, Ev, Godos, J, Goel, A, Goharinezhad, S, Golechha, M, Goleij, P, Golitaleb, M, Greaves, F, Grivna, M, Grosso, G, Gudayu, Tw, Gupta, B, Gupta, R, Gupta, S, Gupta, Vb, Gupta, Vk, Nejad, Nh, Mirzaian, Ah, Hall, Bj, Halwani, R, Handiso, Tb, Hankey, Gj, Hariri, S, Haro, Jm, Hasaballah, Ai, Moghaddam, Hh, Hay, Si, Hayat, K, Heidari, G, Heidari, M, Hendrie, D, Herteliu, C, Heyi, Dz, Hezam, K, Hlongwa, Mm, Holla, R, Hossain, Mm, Hossain, S, Hosseini, Sk, Hosseinzadeh, M, Hostiuc, M, Hostiuc, S, Hu, Gq, Huang, Jj, Hussain, S, Ibitoye, Se, Ilic, Im, Ilic, Md, Immurana, M, Irham, 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Sigfusdottir, Id, Silva, Da, da Silva, Nt, Singh, Ja, Singh, S, Skryabin, Vy, Skryabina, Aa, Sleet, Da, Solmi, M, Solomon, Y, Song, S, Song, Ym, Sorensen, Rjd, Soshnikov, S, Soyiri, In, Stein, Dj, Subba, Sh, Szocska, M, Seisdedos, Rt, Tabuchi, T, Taheri, M, Tan, Kk, Tareke, M, Tarkang, Ee, Temesgen, G, Temesgen, Wa, Temsah, Mh, Thankappan, Kr, Thapar, R, Thomas, Nk, Tiruneh, C, Todorovic, J, Torrado, M, Touvier, M, Palone, Mrt, Tran, Mtn, Llimos, St, Tripathy, Jp, Vakilian, A, Valizadeh, R, Varmaghani, M, Varthya, Sb, Vasankari, Tj, Vos, T, Wagaye, B, Waheed, Y, Walde, Mt, Wang, C, Wang, Yz, Wang, Yp, Westerman, R, Wickramasinghe, Nd, Wubetu, Ad, Xu, S, Yamagishi, K, Yang, L, Yesera, Gee, Yigit, A, Yimaw, Ae, Yon, Dk, Yonemoto, N, Yu, Ch, Zadey, S, Zahir, M, Zare, I, Zastrozhin, M, Zastrozhina, A, Zhang, Zj, Zhong, Cw, Zmaili, M, Zuniga, Ymh, Gakidou, E, Madureira-Carvalho, Am, Ciobanu, LG, Gakidou, Emma, and GBD 2020 Alcohol Collaborators
- Subjects
Adult ,Male ,Alcohol Drinking ,CONTROL POLICIES ,adult ,Child, Preschool ,Female ,Geography ,Global Burden of Disease ,Global Health ,Humans ,Middle Aged ,Quality-Adjusted Life Years ,Risk Factors ,NDAS ,ALL-CAUSE ,GUIDELINES ,GBD 2020 Alcohol Collaborators ,COST-EFFECTIVENESS ,Medicine, General & Internal ,DRINKING ,SDG 3 - Good Health and Well-being ,RA0421 ,General & Internal Medicine ,Quality-Adjusted Life Year ,RA0421 Public health. Hygiene. Preventive Medicine ,DRINKERS ,Child ,Preschool ,11 Medical and Health Sciences ,METAANALYSIS ,MCC ,Science & Technology ,global burden of disease ,Risk Factor ,General Medicine ,CANCER ,alcohol drinking ,AC ,3121 General medicine, internal medicine and other clinical medicine ,REDUCED MORTALITY ,Life Sciences & Biomedicine ,Human - Abstract
Background: The health risks associated with moderate alcohol consumption continue to be debated. Small amounts of alcohol might lower the risk of some health outcomes but increase the risk of others, suggesting that the overall risk depends, in part, on background disease rates, which vary by region, age, sex, and year. Methods: For this analysis, we constructed burden-weighted dose-response relative risk curves across 22 health outcomes to estimate the theoretical minimum risk exposure level (TMREL) and non-drinker equivalence (NDE), the consumption level at which the health risk is equivalent to that of a non-drinker, using disease rates from the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2020 for 21 regions, including 204 countries and territories, by 5-year age group, sex, and year for individuals aged 15-95 years and older from 1990 to 2020. Based on the NDE, we quantified the population consuming harmful amounts of alcohol. Findings: The burden-weighted relative risk curves for alcohol use varied by region and age. Among individuals aged 15-39 years in 2020, the TMREL varied between 0 (95% uncertainty interval 0-0) and 0·603 (0·400-1·00) standard drinks per day, and the NDE varied between 0·002 (0-0) and 1·75 (0·698-4·30) standard drinks per day. Among individuals aged 40 years and older, the burden-weighted relative risk curve was J-shaped for all regions, with a 2020 TMREL that ranged from 0·114 (0-0·403) to 1·87 (0·500-3·30) standard drinks per day and an NDE that ranged between 0·193 (0-0·900) and 6·94 (3·40-8·30) standard drinks per day. Among individuals consuming harmful amounts of alcohol in 2020, 59·1% (54·3-65·4) were aged 15-39 years and 76·9% (73·0-81·3) were male. Interpretation: There is strong evidence to support recommendations on alcohol consumption varying by age and location. Stronger interventions, particularly those tailored towards younger individuals, are needed to reduce the substantial global health loss attributable to alcohol. Research reported in this publication was supported by the Bill & Melinda Gates Foundation. S Afzal acknowledges the support for intellectual contributions to this manuscript by the Department of Community Medicine and Epidemiology at King Edward Medical University, Lahore, Pakistan. T Bärnighausen was supported by the Alexander von Humboldt Foundation through the Alexander von Humboldt Professor award, funded by the German Federal Ministry of Education and Research. L Belo acknowledges support from FCT in the scope of the project UIDP/04378/2020 and UIDB/04378/2020 of UCIBIO and the project LA/P/0140/2020 of i4HB. D Bennett is supported by the UK Medical Research Council Population Health Research Unit at the University of Oxford (Oxford, UK). M Carvalho acknowledges support from FCT in the scope of the project UIDP/04378/2020 and UIDB/04378/2020 of UCIBIO and the project LA/P/0140/2020 of i4HB. L Castro-de-Araujo was funded by the Medical Research Council (UK), Grant no. MR/T03355X/1 and by the National Institute of Mental Health Grant no. R01MH128911. FJ Elgar is supported by the Canada Research Chairs program. F Greaves acknowledges support from the NIHR Applied Research Collaboration for NW London. V K Gupta acknowledges funding support from the National Health and Medical Research Council (NHMRC), Australia. VB Gupta acknowledges funding support from the National Health and Medical Research Council (NHMRC), Australia. C Herteliu is partially supported by a grant from the Romanian National Authority for Scientific Research and Innovation, CNDS-UEFISCDI, project number PN-III-P4-ID-PCCF-2016-0084. C Herteliu is partially supported by a grant from the Romanian Ministry of Research Innovation and Digitalization, MCID, project number ID-585-CTR-42-PFE-2021. S Hussain was supported by the Operational Programme Research, Development and Education –Project, Postdoc2MUNI “(No. CZ.02.2.69/0.0/0.0/18_053/0016952). S M S Islam is funded by the National Health and Medical Research Council and received funding from the National Heart Foundation of Australia. The Serbian part of this GBD-related contribution has been co-financed through Grant OI 175 014 of the Ministry of Education Science and Technological Development of the Republic of Serbia. M Kivimaki was supported by the Wellcome Trust (221854/Z/20/Z), the UK Medical Research Council (MR/S011676/1), the US National Institute on Aging (R01AG056477), and the Academy of Finland (350426). K Krishan is supported by the UGC Centre of Advanced Study (Phase II), awarded to the Department of Anthropology, Panjab University, Chandigarh, India. B Lacey acknowledges support from the UK Biobank, funded largely by the UK Medical Research Council and Wellcome. S Lorkowski acknowledges institutional support from the Competence Cluster for Nutrition and Cardiovascular Health (nutriCARD) Halle-Jena-Leipzig (Germany; German Federal Ministry of Education and Research; grant agreement number 01EA1808A). G Lucchetti received a productivity scholarship from the Brazilian National Council for Scientific and Technological Development — CNPq (Level 1D). J McGrath was supported by the Danish National Research Foundation (Niels Bohr Professor). J McGrath is employed by the Queensland Centre for Mental Health Research (Australia), which receives support from the Queensland Health Department. C Parry acknowleges the South African Medical Research Council. A Peden is supported by a National Health and Medical Research Council Emerging Leadership Fellowship (Grant ID: APP2009306). M R Phillips was supported in part by the Global Alliance for Chronic Diseases - National Natural Science Foundation of China (NSFC. No. 81761128031). M Pinheiro acknowledges FCT for funding through program DL 57/2016 – Norma transitória. A Rahman acknowledges the support from the Data Science Research Unit in Charles Sturt University (Bathurst, NSW, Australia). U Saeed would like to acknowledge the International Center of Medical Sciences Research (ICMSR), Islamabad, Pakistan. A M Samy acknowledges support from Ain Shams University (Cairo, Egypt) and the Egyptian Fulbright Mission Program. N Senthil Kumar acknowledges the DBT, New Delhi sponsored Advanced State Level Biotech Hub (BT/NER/143/SP44475/2021), Mizoram University (Aizawl, Mizoram, India) for facilitating this work. F Sha is supported by the Shenzhen Science and Technology Program (Grant No. KQTD20190929172835662). A Shetty acknowledges Kasturba Medical College (Mangalore, India) and Manipal Academy of Higher Education (Manipal, India) for all the academic support. R Shrestha acknowledges a career development award from the National Institutes of Health (K01DA051346). D Silva was financed in part by the Coordenação de Aperfeiçoamento de Pessoal de Nível Superior-Brazil (CAPES)-Finance Code 001 and is supported in part by CNPq - Brazil (309589/2021-5). D Sleet acknowledges partial support from Veritas Management Group, Inc and The Bizzell Group, LLC. S Trias-Llimós acknowledges research funding from the Juan de la Cierva-Formación program of the Spanish Ministry of Science and Innovation (FJC-2019-039314-I). Sí
- Published
- 2022
7. The global burden of cancer attributable to risk factors, 2010–19 : A systematic analysis for the Global Burden of Disease Study 2019
- Author
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Khanh Bao Tran, Justin J Lang, Kelly Compton, Rixing Xu, Alistair R Acheson, Hannah Jacqueline Henrikson, Jonathan M Kocarnik, Louise Penberthy, Amirali Aali, Qamar Abbas, Behzad Abbasi, Mohsen Abbasi-Kangevari, Zeinab Abbasi-Kangevari, Hedayat Abbastabar, Michael Abdelmasseh, Sherief Abd-Elsalam, Ahmed Abdelwahab Abdelwahab, Gholamreza Abdoli, Hanan Abdulkadir Abdulkadir, Aidin Abedi, Kedir Hussein Abegaz, Hassan Abidi, Richard Gyan Aboagye, Hassan Abolhassani, Abdorrahim Absalan, Yonas Derso Abtew, Hiwa Abubaker Ali, Eman Abu-Gharbieh, Basavaprabhu Achappa, Juan Manuel Acuna, Daniel Addison, Isaac Yeboah Addo, Oyelola A Adegboye, Miracle Ayomikun Adesina, Mohammad Adnan, Qorinah Estiningtyas Sakilah Adnani, Shailesh M Advani, Sumia Afrin, Muhammad Sohail Afzal, Manik Aggarwal, Bright Opoku Ahinkorah, Araz Ramazan Ahmad, Rizwan Ahmad, Sajjad Ahmad, Sohail Ahmad, Sepideh Ahmadi, Haroon Ahmed, Luai A Ahmed, Muktar Beshir Ahmed, Tarik Ahmed Rashid, Wajeeha Aiman, Marjan Ajami, Gizachew 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Pradnya Vishal Kakodkar, Laleh R Kalankesh, Leila R Kalankesh, Rohollah Kalhor, Vineet Kumar Kamal, Farin Kamangar, Ashwin Kamath, Tanuj Kanchan, Eswar Kandaswamy, Himal Kandel, HyeJung Kang, Girum Gebremeskel Kanno, Neeti Kapoor, Sitanshu Sekhar Kar, Shama D Karanth, Ibraheem M Karaye, André Karch, Amirali Karimi, Bekalu Getnet Kassa, Patrick DMC Katoto, Joonas H Kauppila, Harkiran Kaur, Abinet Gebremickael Kebede, Leila Keikavoosi-Arani, Gemechu Gemechu Kejela, Phillip M Kemp Bohan, Maryam Keramati, Mohammad Keykhaei, Himanshu Khajuria, Abbas Khan, Abdul Aziz Khan Khan, Ejaz Ahmad Khan, Gulfaraz Khan, Md Nuruzzaman Khan, Moien AB Khan, Javad Khanali, Khaled Khatab, Moawiah Mohammad Khatatbeh, Mahalaqua Nazli Khatib, Maryam Khayamzadeh, Hamid Reza Khayat Kashani, Mohammad Amin Khazeei Tabari, Mehdi Khezeli, Mahmoud Khodadost, Min Seo Kim, Yun Jin Kim, Adnan Kisa, Sezer Kisa, Miloslav Klugar, Jitka Klugarová, Ali-Asghar Kolahi, Pavel Kolkhir, Farzad Kompani, Parvaiz A Koul, Sindhura 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Mokhtar Mohammadi, Abdollah Mohammadian-Hafshejani, Reza Mohammadpourhodki, Arif Mohammed, Shafiu Mohammed, Syam Mohan, Mohammad Mohseni, Nagabhishek Moka, Ali H Mokdad, Alex Molassiotis, Mariam Molokhia, Kaveh Momenzadeh, Sara Momtazmanesh, Lorenzo Monasta, Ute Mons, Ahmed Al Montasir, Fateme Montazeri, Arnulfo Montero, Mohammad Amin Moosavi, Abdolvahab Moradi, Yousef Moradi, Mostafa Moradi Sarabi, Paula Moraga, Lidia Morawska, Shane Douglas Morrison, Jakub Morze, Abbas Mosapour, Ebrahim Mostafavi, Seyyed Meysam Mousavi, Haleh Mousavi Isfahani, Amin Mousavi Khaneghah, Christine Mpundu-Kaambwa, Sumaira Mubarik, Francesk Mulita, Daniel Munblit, Sandra B Munro, Efrén Murillo-Zamora, Jonah Musa, Ashraf F Nabhan, Ahamarshan Jayaraman Nagarajan, Shankar Prasad Nagaraju, Gabriele Nagel, Mohammadreza Naghipour, Mukhammad David Naimzada, Tapas Sadasivan Nair, Atta Abbas Naqvi, Sreenivas Narasimha Swamy, Aparna Ichalangod Narayana, Hasan Nassereldine, Zuhair S Natto, Biswa Prakash Nayak, 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Lam, J, Lan, Q, Landires, I, Larijani, B, Lasrado, S, Lau, J, Lauriola, P, Ledda, C, Lee, S, Lee, W, Lee, Y, Legesse, S, Leigh, J, Leong, E, Li, M, Lim, S, Liu, G, Liu, J, Lo, C, Lohiya, A, Lopukhov, P, Lorenzovici, L, Lotfi, M, Loureiro, J, Lunevicius, R, Madadizadeh, F, Mafi, A, Magdeldin, S, Mahjoub, S, Mahmoodpoor, A, Mahmoudi, M, Mahmoudimanesh, M, Mahumud, R, Majeed, A, Majidpoor, J, Makki, A, Makris, K, Malakan Rad, E, Malekpour, M, Malekzadeh, R, Malik, A, Mallhi, T, Mallya, S, Mamun, M, Manda, A, Mansour-Ghanaei, F, Mansouri, B, Mansournia, M, Mantovani, L, Martini, S, Martorell, M, Masoudi, S, Masoumi, S, Matei, C, Mathews, E, Mathur, M, Mathur, V, Mckee, M, Meena, J, Mehmood, K, Mehrabi Nasab, E, Mehrotra, R, Melese, A, Mendoza, W, Menezes, R, Mengesha, S, Mensah, L, Mentis, A, Mera-Mamian, A, Meretoja, T, Merid, M, Mersha, A, Meselu, B, Meshkat, M, Mestrovic, T, Miao Jonasson, J, Miazgowski, T, Michalek, I, Mijena, G, Miller, T, Mir, S, Mirinezhad, S, Mirmoeeni, S, Mirza-Aghazadeh-Attari, M, Mirzaei, H, Misganaw, A, Misra, S, Mohammad, K, Mohammadi, E, Mohammadi, M, Mohammadian-Hafshejani, A, Mohammadpourhodki, R, Mohammed, A, Mohammed, S, Mohan, S, Mohseni, M, Moka, N, Mokdad, A, Molassiotis, A, Molokhia, M, Momenzadeh, K, Momtazmanesh, S, Monasta, L, Mons, U, Montasir, A, Montazeri, F, Montero, A, Moosavi, M, Moradi, A, Moradi, Y, Moradi Sarabi, M, Moraga, P, Morawska, L, Morrison, S, Morze, J, Mosapour, A, Mostafavi, E, Mousavi, S, Mousavi Isfahani, H, Mousavi Khaneghah, A, Mpundu-Kaambwa, C, Mubarik, S, Mulita, F, Munblit, D, Munro, S, Murillo-Zamora, E, Musa, J, Nabhan, A, Nagarajan, A, Nagaraju, S, Nagel, G, Naghipour, M, Naimzada, M, Nair, T, Naqvi, A, Narasimha Swamy, S, Narayana, A, Nassereldine, H, Natto, Z, Nayak, B, Ndejjo, R, Nduaguba, S, Negash, W, Nejadghaderi, S, Nejati, K, Neupane Kandel, S, Nguyen, H, Niazi, R, Noor, N, Noori, M, Noroozi, N, Nouraei, H, Nowroozi, A, Nunez-Samudio, V, Nzoputam, C, Nzoputam, O, Oancea, B, Odukoya, O, Oghenetega, O, Ogunsakin, R, Oguntade, A, Oh, I, Okati-Aliabad, H, Okekunle, A, Olagunju, A, Olagunju, T, Olakunde, B, Olufadewa, I, Omer, E, Omonisi, A, Ong, S, Onwujekwe, O, Orru, H, Otstavnov, S, Oulhaj, A, Oumer, B, Owopetu, O, Oyinloye, B, P A, M, Padron-Monedero, A, Padubidri, J, Pakbin, B, Pakshir, K, Pakzad, R, Palicz, T, Pana, A, Pandey, A, Pant, S, Pardhan, S, Park, E, Park, S, Patel, J, Pati, S, Paudel, R, Paudel, U, Paun, M, Pazoki Toroudi, H, Peng, M, Pereira, J, Pereira, R, Perna, S, Perumalsamy, N, Pestell, R, Pezzani, R, Piccinelli, C, Pillay, J, Piracha, Z, Pischon, T, Postma, M, Pourabhari Langroudi, A, Pourshams, A, Pourtaheri, N, Prashant, A, Qadir, M, Quazi Syed, Z, Rabiee, M, Rabiee, N, Radfar, A, Radhakrishnan, R, Radhakrishnan, V, Raeisi, M, Rafiee, A, Rafiei, A, Raheem, N, Rahim, F, Rahman, M, Rahmani, A, Rahmani, S, Rahmanian, V, Rajai, N, Rajesh, A, Ram, P, Ramezanzadeh, K, Rana, J, Ranabhat, K, Ranasinghe, P, Rao, C, Rao, S, Rashedi, S, Rashidi, A, 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Melinda Gates Foundation, Kuwait University (Kuwait), Ministry of Higher Education (Malasia), Lega Italiana per la Lotta ai Tumori, Health Effects Institute (Estados Unidos), Unión Europea. Comisión Europea. European Research Council (ERC), Unión Europea. Comisión Europea. H2020, Fundação para a Ciência e Tecnologia (Portugal), African-German Network of Excellence in Science (AGNES), Federal Ministry of Education & Research (Alemania), Alexander von Humboldt Foundation, Novo Nordisk Foundation, National Institute for Health Research (Reino Unido), National Health and Medical Research Council (Australia), Romanian National Authority for Scientific Research and Innovation, Romanian Ministry of Research Innovation and Digitalization, Ministry of Education, Science and Technological Development (Serbia), Sigrid Jusélius Foundation, Finnish Cancer Foundation, Datta Meghe Institute of Medical Sciences (India), Xiamen University (Malasia), Manipal Academy of Higher Education (India), Panjab University (India), Sistema Nacional de Investigación (Panamá), Secretaría Nacional de Ciencia, Tecnología e Innovación (Panamá), Ministry of Science and Technology (Taiwan), Lung Foundation Australia, National Natural Science Foundation of China, Wellcome Trust, UNSW Sydney (Australia), ICMR - National Institute of Epidemiology (India), University of Tasmania (Australia), National Council for Scientific and Technological Development (Brasil), Coordenação de Aperfeicoamento de Pessoal de Nível Superior (Brasil), Institute for Advanced Studies in Basic Sciences (Irán), Ain Shams University (Egipto), International Center of Medical Sciences Research (Islamabad), National Institutes of Health (Estados Unidos), University of Oxford (Reino Unido), National Institute of Genetic Engineering and Biotechnology (Irán), Marga und Walter Boll - Stiftung, Ministero della Salute (Italia), IRCCS Materno Infantile Burlo Garofolo (Italia), King College London, Wellcome Trust/DBT India Alliance (India), Public Health, University of St Andrews. School of Medicine, and University of St Andrews. Population and Behavioural Science Division
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Male ,DEATHS ,DALY, cancer, risk factors ,Medizin ,systematic analysis ,Global Health ,Risk Assessment ,Cancer prevention ,Global Burden of Disease ,RC0254 ,Risk-attributable cancer deaths ,SDG 3 - Good Health and Well-being ,RA0421 ,Risk Factors ,RA0421 Public health. Hygiene. Preventive Medicine ,Quality-Adjusted Life Year ,Neoplasms ,cancer ,Humans ,Global Burden of Disease Study ,UK ,Medicine(all) ,MCC ,RC0254 Neoplasms. Tumors. Oncology (including Cancer) ,Risk Factor ,Smoking ,COVID-19 ,3rd-DAS ,General Medicine ,Disability-adjusted life-years ,SOCIAL DETERMINANTS ,Risk assessments ,risk factor ,Cardiovascular and Metabolic Diseases ,3121 General medicine, internal medicine and other clinical medicine ,OBESITY ,Cancer burden ,Neoplasm ,Female ,LIFE-STYLE ,Quality-Adjusted Life Years ,HEALTH ,RA ,Human ,RC - Abstract
Background: Understanding the magnitude of cancer burden attributable to potentially modifiable risk factors is crucial for development of effective prevention and mitigation strategies. We analysed results from the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2019 to inform cancer control planning efforts globally. Methods: The GBD 2019 comparative risk assessment framework was used to estimate cancer burden attributable to behavioural, environmental and occupational, and metabolic risk factors. A total of 82 risk-outcome pairs were included on the basis of the World Cancer Research Fund criteria. Estimated cancer deaths and disability-adjusted life-years (DALYs) in 2019 and change in these measures between 2010 and 2019 are presented. Findings: Globally, in 2019, the risk factors included in this analysis accounted for 4·45 million (95% uncertainty interval 4·01-4·94) deaths and 105 million (95·0-116) DALYs for both sexes combined, representing 44·4% (41·3-48·4) of all cancer deaths and 42·0% (39·1-45·6) of all DALYs. There were 2·88 million (2·60-3·18) risk-attributable cancer deaths in males (50·6% [47·8-54·1] of all male cancer deaths) and 1·58 million (1·36-1·84) risk-attributable cancer deaths in females (36·3% [32·5-41·3] of all female cancer deaths). The leading risk factors at the most detailed level globally for risk-attributable cancer deaths and DALYs in 2019 for both sexes combined were smoking, followed by alcohol use and high BMI. Risk-attributable cancer burden varied by world region and Socio-demographic Index (SDI), with smoking, unsafe sex, and alcohol use being the three leading risk factors for risk-attributable cancer DALYs in low SDI locations in 2019, whereas DALYs in high SDI locations mirrored the top three global risk factor rankings. From 2010 to 2019, global risk-attributable cancer deaths increased by 20·4% (12·6-28·4) and DALYs by 16·8% (8·8-25·0), with the greatest percentage increase in metabolic risks (34·7% [27·9-42·8] and 33·3% [25·8-42·0]). Interpretation: The leading risk factors contributing to global cancer burden in 2019 were behavioural, whereas metabolic risk factors saw the largest increases between 2010 and 2019. Reducing exposure to these modifiable risk factors would decrease cancer mortality and DALY rates worldwide, and policies should be tailored appropriately to local cancer risk factor burden. We are grateful to the surveillance systems, including cancer registries, that generated and shared observed cancer burden data. S M Aljunid acknowledges the Department of Health Policy and Management, College of Public Health, Kuwait University for the approval and support to participate in this research project. H Ariffin acknowledges support from the Ministry of Higher Education, Malaysia (grant FRGS/1/2021/SKK0/UM/01/1). F Barra acknowledges support from Lega Italiana per la Lotta contro i Tumori - LILT - Bando 5 x 1000 anno 2019. L Belo and M Carvalho acknowledge the support from FCT in the scope of the project UIDP/04378/2020 and UIDB/04378/2020 of UCIBIO and the project LA/P/0140/2020 of i4HB. A J Cohen was supported by the Health Effects Institute, Boston, MA, USA. J Conde acknowledges financial support from the European Research Council - ERC Starting Grant 848325. V M Costa acknowledges her grant (SFRH/BHD/110001/2015), received by Portuguese national funds through Fundação para a Ciência e Tecnologia (FCT), IP, under the Norma Transitória DL57/2016/CP1334/CT0006. T C Ekundayo was supported by the African-German Network of Excellence in Science (AGNES), the Federal Ministry of Education and Research (BMBF) and the Alexander von Humboldt Foundation (AvH). N Ghith acknowledges support from a grant from Novo Nordisk Foundation (NNF16OC0021856). J C Glasbey is support by a Doctoral Research Fellowship from the National Institute of Health Research (NIHR300175). V K Gupta and V B Gupta acknowledge funding support from National Health and Medical Research Council (NHMRC), Australia. C Herteliu, A Pana, and M Ausloos acknowledge partial support by a grant of the Romanian National Authority for Scientific Research and Innovation, CNDS-UEFISCDI, project number PN-III-P4-ID-PCCF-2016-0084. C Herteliu is also partially supported by a grant of the Romanian Ministry of Research Innovation and Digitalization, MCID, project number ID-585-CTR-42-PFE-2021. S Hussain was supported from Operational Programme Research, Development and Education–Project, Postdoc2MUNI (number CZ.02.2. 69/0.0/0.0/18_053/0016952). M Jakovljevic acknowledges partial support through the grant OI 175 014 of the Ministry of Education Science and Technological Development of the Republic of Serbia. J H Kauppila acknowledges research grants from Sigrid Jusélius Foundation and the Finnish Cancer Foundation. M N Khatib acknowledges support from Datta Meghe Institute of Medical Sciences (deemed-to-be-university). Y J Kim was supported by the Research Management Centre, Xiamen University Malaysia [XMUMRF/2020-C6/ITCM/0004]. S L Koulmane Laxminarayana acknowledges institutional assistance by Manipal Academy of Higher Education, Manipal. K Krishan is supported by the UGC Centre of Advanced Study (Phase II), awarded to the Department of Anthropology, Panjab University, Chandigarh, India. I Landires is a member of the Sistema Nacional de Investigación (SNI), which is supported by Panama’s Secretaría Nacional de Ciencia, Tecnología e Innovación (SENACYT). M-C Li was supported by the Ministry of Science and Technology, Taiwan (MOST 110-2314-B-003-001). G Liu acknowledges support from the CREATE Hope scientific fellowship from Lung Foundation Australia. J Liu acknowledges support from the National Natural Science Foundation (72122001). J A Loureiro was supported by Scientific Employment Stimulus (FCT; CEECINST/00049/2018). E Mathews is supported by a Clinical and Public Health Early Career Fellowship (grant number IA/CPHE/17/1/503345) from the DBT India Alliance/Wellcome Trust Department of Biotechnology, India Alliance (2018–2023). T J Meretoja was supported by an unrestricted grant from Cancer Foundation Finland sr. S Mohammed acknowledges a fellowship grant from Alexander von Humboldt Foundation, outside the submitted work. M Molokhia is supported by the National Institute for Health Research Biomedical Research Center at Guy’s and St Thomas’ National Health Service Foundation Trust and King’s College London. L Monasta received support from the Italian Ministry of Health at the Institute for Maternal and Child Health IRCCS Burlo Garofolo, Trieste - Italy (RC 34/2017). U Mons is supported by the Marga and Walter Boll Foundation, Kerpen, Germany. M A Moosavi acknowledges the financial support of National Institute of Genetics Engineering and Biotechnology (NIGEB). J Musa acknowledges support from the NIH/FICK43TW011416 for research-protected time for cervical cancer research and career development at University of Jos. V Nuñez-Samudio is a member of the Sistema Nacional de Investigación (SNI), which is supported by Panama’s Secretaría Nacional de Ciencia, Tecnología e Innovación (SENACYT). O O Odukoya acknowledges support by the Fogarty International Center of the National Institutes of Health under the award number K43TW010704 for research-protected time. The content is solely the responsibility of all the authors and does not necessarily represent the official views of the National Institutes of Health. A S Oguntade acknowledges funding by a doctoral scholarship from the Nuffield Department of Population Health, University of Oxford (Oxford Population Health). J R Padubidri acknowledges Kasturba Medical College, Mangalore, Manipal Academy of Higher Education, Manipal for their constant support in research collaborations. R G Pestell acknowledges support from NIH grant W81XWH1810605 Breast Cancer Research, Breakthrough Grant R21 CA235139-01. Z Z Piracha acknowledges the International Center of Medical Sciences Research (ICMSR), Islamabad (44000), Pakistan. R A Radhakrishnan acknowledges support from Wellcome Trust/DBT India Alliance - IA/CPHI/18/1/503927. U Saeed acknowledges the International Center of Medical Sciences Research (ICMSR), Islamabad, Pakistan. A M Samy acknowledges the support from Ain Shams University and the Egyptian Fulbright Mission Program. F Sha was supported by the Shenzhen Science and Technology Program (grant number KQTD20190929172835662). H R Shahsavari acknowledges the Institute for Advanced Studies in Basic Sciences (IASBS) Research Council. A Shetty acknowledges Kasturba Medical College, Mangalore, Manipal Academy of Higher Education, Manipal for all the academic support. D A S Silva acknowledges financing in part by the Coordenação de Aperfeiçoamento de Pessoal de Nível Superior—Brazil (CAPES)—Finance Code 001 and D A S Silva is supported in part by CNPq-Brazil (309589/2021-5). L M L R Silva was supported by project CENTRO-04-3559-FSE-000162, Fundo Social Europeu (FSE). Am Singh is supported by the International Graduate Research Scholarship, University of Tasmania. R Suliankatchi Abdulkader acknowledges support from ICMR—National Institute of Epidemiology. B Unnikrishnan acknowledges Kasturba Medical College, Mangalore, Manipal Academy of Higher Education, Manipal. H Xiao acknowledges support from the Public Health Sciences Division of the Fred Hutchinson Cancer Research Center. X Xu is supported by the University of New South Wales (Australia) Scientia Program. C Yu was supported by the National Natural Science Foundation of China (grant number 82173626) and Wuhan Medical Research Program of Joint Fund of Hubei Health Committee (grant number WJ2019H304). Sí
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- 2022
8. The global burden of adolescent and young adult cancer in 2019: a systematic analysis for the Global Burden of Disease Study 2019
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Elysia M Alvarez, Lisa M Force, Rixing Xu, Kelly Compton, Dan Lu, Hannah Jacqueline Henrikson, Jonathan M Kocarnik, James D Harvey, Alyssa Pennini, Frances E Dean, Weijia Fu, Martina T Vargas, Theresa H M Keegan, Hany Ariffin, Ronald D Barr, Yana Arturovna Erdomaeva, D Sanjeeva Gunasekera, Yetunde O John-Akinola, Tyler G Ketterl, Tezer Kutluk, Marcio Henrique Malogolowkin, Prashant Mathur, Venkatraman Radhakrishnan, Lynn Ann Gloeckler Ries, Carlos Rodriguez-Galindo, Garik Barisovich Sagoyan, Iyad Sultan, Behzad Abbasi, Mohsen Abbasi-Kangevari, Zeinab Abbasi-Kangevari, Hedayat Abbastabar, Michael Abdelmasseh, Sherief Abd-Elsalam, Amir Abdoli, Haimanot Abebe, Aidin Abedi, Hassan Abidi, Hassan Abolhassani, Hiwa Abubaker Ali, Eman Abu-Gharbieh, Basavaprabhu Achappa, Juan Manuel Acuna, Isaac Akinkunmi Adedeji, Oyelola A Adegboye, Qorinah Estiningtyas Sakilah Adnani, Shailesh M Advani, Muhammad Sohail Afzal, Mohamad Aghaie Meybodi, Bahman Ahadinezhad, Bright Opoku Ahinkorah, Sajjad Ahmad, Sepideh Ahmadi, Muktar Beshir Ahmed, Tarik Ahmed Rashid, Yusra Ahmed Salih, Wajeeha Aiman, Gizachew Taddesse Akalu, Hanadi Al Hamad, Fares Alahdab, Abdulhadi A AlAmodi, Fahad Mashhour Alanezi, Turki M Alanzi, Adugnaw Zeleke Alem, Dejene Tsegaye Alem, Yosef Alemayehu, Fadwa Naji Alhalaiqa, Robert Kaba Alhassan, Saqib Ali, Gianfranco Alicandro, Vahid Alipour, Syed Mohamed Aljunid, Motasem Alkhayyat, Sunitha Alluri, Nihad A Almasri, Sadeq Ali Al-Maweri, Sami Almustanyir, Rajaa M Al-Raddadi, Nelson Alvis-Guzman, Edward Kwabena Ameyaw, Saeed Amini, Hubert Amu, Robert Ancuceanu, Catalina Liliana Andrei, Tudorel Andrei, Fereshteh Ansari, Alireza Ansari-Moghaddam, Davood Anvari, Anayochukwu Edward Anyasodor, Jalal Arabloo, Morteza Arab-Zozani, Ayele Mamo Argaw, Muhammad Arshad, Judie Arulappan, Armin Aryannejad, Zatollah Asemi, Mohammad Asghari Jafarabadi, Mohammad Reza Atashzar, Prince Atorkey, Alok Atreya, Sameh Attia, Avinash Aujayeb, Marcel Ausloos, Leticia Avila-Burgos, Atalel Fentahun Awedew, Beatriz Paulina Ayala Quintanilla, Alemu Degu Ayele, Solomon Shitu Ayen, Mohammed A Azab, Sina Azadnajafabad, Hiva Azami, Mohammadreza Azangou-Khyavy, Amirhossein Azari Jafari, Ghasem Azarian, Ahmed Y Azzam, Saeed Bahadory, Jianjun Bai, Atif Amin Baig, Jennifer L Baker, Maciej Banach, Till Winfried Bärnighausen, Francesco Barone-Adesi, Fabio Barra, Amadou Barrow, Huda Basaleem, Abdul-Monim Mohammad Batiha, Masoud Behzadifar, Niguss Cherie Bekele, Rebuma Belete, Uzma Iqbal Belgaumi, Arielle Wilder Bell, Alemshet Yirga Berhie, Devidas S Bhagat, Akshaya Srikanth Bhagavathula, Nikha Bhardwaj, Pankaj Bhardwaj, Sonu Bhaskar, Krittika Bhattacharyya, Vijayalakshmi S Bhojaraja, Sadia Bibi, Ali Bijani, Antonio Biondi, Setognal Birara, Tone Bjørge, Obasanjo Afolabi Bolarinwa, Srinivasa Rao Bolla, Archith Boloor, Dejana Braithwaite, Hermann Brenner, Norma B Bulamu, Katrin Burkart, Maria Teresa Bustamante-Teixeira, Nadeem Shafique Butt, Zahid A Butt, Florentino Luciano Caetano dos Santos, Chao Cao, Yin Cao, Giulia Carreras, Ferrán Catalá-López, Francieli Cembranel, Ester Cerin, Raja Chandra Chakinala, Promit Ananyo Chakraborty, Vijay Kumar Chattu, Pankaj Chaturvedi, Akhilanand Chaurasia, Prachi P Chavan, Odgerel Chimed-Ochir, Jee-Young Jasmine Choi, Devasahayam J Christopher, Dinh-Toi Chu, Michael T Chung, Joao Conde, Vera Marisa Costa, Omar B Da'ar, Omid Dadras, Saad M A Dahlawi, Xiaochen Dai, Giovanni Damiani, Emanuele D'Amico, Lalit Dandona, Rakhi Dandona, Parnaz Daneshpajouhnejad, Amira Hamed Darwish, Ahmad Daryani, Fernando Pio De la Hoz, Sisay Abebe Debela, Takele Gezahegn G Demie, Getu Debalkie Demissie, Zeleke Geto Demissie, Edgar Denova-Gutiérrez, Meseret Derbew Molla, Rupak Desai, Abebaw Alemayehu Desta, Deepak Dhamnetiya, Samath Dhamminda Dharmaratne, Mandira Lamichhane Dhimal, Meghnath Dhimal, Mostafa Dianatinasab, Mojtaba Didehdar, Mengistie Diress, Shirin Djalalinia, Huyen Phuc Do, Saeid Doaei, Fariba Dorostkar, Wendel Mombaque dos Santos, Thomas M Drake, Michael Ekholuenetale, Iman El Sayed, Maysaa El Sayed Zaki, Maha El Tantawi, Hassan El-Abid, Mostafa Ahmed Elbahnasawy, Iffat Elbarazi, Hala Rashad Elhabashy, Muhammed Elhadi, Shaimaa I El-Jaafary, Daniel Berhanie Enyew, Ryenchindorj Erkhembayar, Babak Eshrati, Sharareh Eskandarieh, Mohammed Faisaluddin, Jawad Fares, Umar Farooque, Abidemi Omolara Fasanmi, Wafa Fatima, José Miguel P Ferreira de Oliveira, Simone Ferrero, Lorenzo Ferro Desideri, Getahun Fetensa, Irina Filip, Florian Fischer, James L Fisher, Masoud Foroutan, Takeshi Fukumoto, Peter Andras Gaal, Mohamed M Gad, Piyada Gaewkhiew, Silvano Gallus, Tushar Garg, Teferi Gebru Gebremeskel, Belete Negese Belete Gemeda, Tamiru Getachew, Mansour Ghafourifard, Seyyed-Hadi Ghamari, Ahmad Ghashghaee, Fariba Ghassemi, Nermin Ghith, Ali Gholami, Jamshid Gholizadeh Navashenaq, Syed Amir Gilani, Themba G Ginindza, Abraham Tamirat Gizaw, James C Glasbey, Amit Goel, Mahaveer Golechha, Pouya Goleij, Davide Golinelli, Sameer Vali Gopalani, Giuseppe Gorini, Houman Goudarzi, Bárbara Niegia Garcia Goulart, Ayman Grada, Mohammed Ibrahim Mohialdeen Gubari, Maximiliano Ribeiro Guerra, Avirup Guha, Bhawna Gupta, Sapna Gupta, Veer Bala Gupta, Vivek Kumar Gupta, Rasool Haddadi, Nima Hafezi-Nejad, Alemayehu Hailu, Arvin Haj-Mirzaian, Rabih Halwani, Randah R Hamadeh, Mitiku Teshome Hambisa, Sajid Hameed, Samer Hamidi, Shafiul Haque, Sanam Hariri, Josep Maria Haro, Ahmed I Hasaballah, S M Mahmudul Hasan, Seyedeh Melika Hashemi, Treska S Hassan, Soheil Hassanipour, Simon I Hay, Khezar Hayat, Sultan H Hebo, Golnaz Heidari, Mohammad Heidari, Brenda Yuliana Herrera-Serna, Claudiu Herteliu, Demisu Zenbaba Heyi, Kamal Hezam, Michael K Hole, Ramesh Holla, Nobuyuki Horita, Md Mahbub Hossain, Mohammad Bellal Hossain, Mohammad-Salar Hosseini, Mostafa Hosseini, Ali Hosseinzadeh, Mehdi Hosseinzadeh, Mihaela Hostiuc, Sorin Hostiuc, Mowafa Househ, Mohamed Hsairi, Junjie Huang, Nawfal R Hussein, Bing-Fang Hwang, Segun Emmanuel Ibitoye, Olayinka Stephen Ilesanmi, Irena M Ilic, Milena D Ilic, Kaire Innos, Lalu Muhammad Irham, Rakibul M Islam, Sheikh Mohammed Shariful Islam, Nahlah Elkudssiah Ismail, Gaetano Isola, Masao Iwagami, Louis Jacob, Farhad Jadidi-Niaragh, Vardhmaan Jain, Mihajlo Jakovljevic, Roksana Janghorban, Amirreza Javadi Mamaghani, Shubha Jayaram, Ranil Jayawardena, Seyed Behzad Jazayeri, Rime Jebai, Ravi Prakash Jha, Tamas Joo, Nitin Joseph, Farahnaz Joukar, Mikk Jürisson, Billingsley Kaambwa, Ali Kabir, Leila R Kalankesh, Feroze Kaliyadan, Zul Kamal, Ashwin Kamath, Himal Kandel, Sitanshu Sekhar Kar, Ibraheem M Karaye, Amirali Karimi, Bekalu Getnet Kassa, Joonas H Kauppila, Phillip M Kemp Bohan, Andre Pascal Kengne, Amene Abebe Kerbo, Mohammad Keykhaei, Yousef Saleh Khader, Himanshu Khajuria, Nastaran Khalili, Neda Khalili, Ejaz Ahmad Khan, Gulfaraz Khan, Maseer Khan, Md Nuruzzaman Khan, Moien AB Khan, Javad Khanali, Maryam Khayamzadeh, Omid Khosravizadeh, Jagdish Khubchandani, Roba Khundkar, Min Seo Kim, Yun Jin Kim, Adnan Kisa, Sezer Kisa, Katarzyna Kissimova-Skarbek, Ali-Asghar Kolahi, Jacek A Kopec, Rajasekaran Koteeswaran, Sindhura Lakshmi Koulmane Laxminarayana, Ai Koyanagi, Nuworza Kugbey, G Anil Kumar, Nithin Kumar, Alexander Kwarteng, Carlo La Vecchia, Qing Lan, Iván Landires, Savita Lasrado, Paolo Lauriola, Caterina Ledda, Sang-woong Lee, Wei-Chen Lee, Yeong Yeh Lee, Yo Han Lee, James Leigh, Elvynna Leong, Bingyu Li, Jiarui Li, Ming-Chieh Li, Stephen S Lim, Xuefeng Liu, Stany W Lobo, Joana A Loureiro, Alessandra Lugo, Raimundas Lunevicius, Hassan Magdy Abd El Razek, Muhammed Magdy Abd El Razek, Morteza Mahmoudi, Azeem Majeed, Alaa Makki, Shilpa Male, Mohammad-Reza Malekpour, Reza Malekzadeh, Ahmad Azam Malik, Mohammed A Mamun, Navid Manafi, Fariborz Mansour-Ghanaei, Borhan Mansouri, Mohammad Ali Mansournia, Santi Martini, Seyedeh Zahra Masoumi, Clara N Matei, Manu Raj Mathur, Colm McAlinden, Ravi Mehrotra, Walter Mendoza, Ritesh G Menezes, Alexios-Fotios A Mentis, Tuomo J Meretoja, Amanual Getnet Mersha, Mohamed Kamal Mesregah, Tomislav Mestrovic, Junmei Miao Jonasson, Bartosz Miazgowski, Irmina Maria Michalek, Ted R Miller, Alemu Basazin Mingude, Seyyedmohammadsadeq Mirmoeeni, Hamed Mirzaei, Sanjeev Misra, Prasanna Mithra, Karzan Abdulmuhsin Mohammad, Mokhtar Mohammadi, Seyyede Momeneh Mohammadi, Abdollah Mohammadian-Hafshejani, Reza Mohammadpourhodki, Arif Mohammed, Shafiu Mohammed, Teroj Abdulrahman Mohammed, Nagabhishek Moka, Ali H Mokdad, Mariam Molokhia, Sara Momtazmanesh, Lorenzo Monasta, Mohammad Ali Moni, Ghobad Moradi, Yousef Moradi, Maliheh Moradzadeh, Rahmatollah Moradzadeh, Paula Moraga, Shane Douglas Morrison, Ebrahim Mostafavi, Amin Mousavi Khaneghah, Christine Mpundu-Kaambwa, Sumaira Mubarik, Lillian Mwanri, Ashraf F Nabhan, Shankar Prasad Nagaraju, Chie Nagata, Mohsen Naghavi, Mukhammad David Naimzada, Luigi Naldi, Vinay Nangia, Atta Abbas Naqvi, Sreenivas Narasimha Swamy, Aparna Ichalangod Narayana, Biswa Prakash Nayak, Vinod C Nayak, Javad Nazari, Sabina Onyinye Nduaguba, Ionut Negoi, Serban Mircea Negru, Seyed Aria Nejadghaderi, Samata Nepal, Sandhya Neupane Kandel, Haruna Asura Nggada, Cuong Tat Nguyen, Chukwudi A Nnaji, Hamed Nosrati, Hasti Nouraei, Ali Nowroozi, Virginia Nuñez-Samudio, Vincent Ebuka Nwatah, Chimezie Igwegbe Nzoputam, Bogdan Oancea, Oluwakemi Ololade Odukoya, Ayodipupo Sikiru Oguntade, In-Hwan Oh, Andrew T Olagunju, Tinuke O Olagunju, Babayemi Oluwaseun Olakunde, Mojisola Morenike Oluwasanu, Emad Omar, Ahmed Omar Bali, Sokking Ong, Obinna E Onwujekwe, Doris V Ortega-Altamirano, Nikita Otstavnov, Stanislav S Otstavnov, Bilcha Oumer, Mayowa O Owolabi, Mahesh P A, Alicia Padron-Monedero, Jagadish Rao Padubidri, Keyvan Pakshir, Adrian Pana, Anamika Pandey, Shahina Pardhan, Fatemeh Pashazadeh Kan, Maja Pasovic, Jenil R Patel, Siddhartha Pati, Sanjay M Pattanshetty, Uttam Paudel, Renato B Pereira, Mario F P Peres, Arokiasamy Perianayagam, Maarten J Postma, Hadi Pourjafar, Akram Pourshams, Akila Prashant, Thejodhar Pulakunta, Mirza Muhammad Fahd Fahd Qadir, Mohammad Rabiee, Navid Rabiee, Amir Radfar, Raghu Anekal Radhakrishnan, Ata Rafiee, Alireza Rafiei, Sima Rafiei, Fakher Rahim, Shadi Rahimzadeh, Mosiur Rahman, Muhammad Aziz Rahman, Amir Masoud Rahmani, Aashish Rajesh, Vajiheh Ramezani-Doroh, Kamal Ranabhat, Priyanga Ranasinghe, Chythra R Rao, Sowmya J Rao, Sina Rashedi, Mahsa Rashidi, Mohammad-Mahdi Rashidi, Goura Kishor Rath, David Laith Rawaf, Salman Rawaf, Lal Rawal, Reza Rawassizadeh, Mohammad Sadegh Razeghinia, Misganu Teshoma Regasa, Andre M N Renzaho, Maryam Rezaei, Negar Rezaei, Nima Rezaei, Mohsen Rezaeian, Aziz Rezapour, Sahba Rezazadeh-Khadem, Abanoub Riad, Ligia Estefania Rios Lopez, Jefferson Antonio Buendia Rodriguez, Luca Ronfani, Gholamreza Roshandel, Godfrey M Rwegerera, Maha Mohamed Saber-Ayad, Siamak Sabour, Basema Saddik, Erfan Sadeghi, Saeid Sadeghian, Umar Saeed, Amirhossein Sahebkar, KM Saif-Ur-Rahman, S Mohammad Sajadi, Sarvenaz Salahi, Sana Salehi, Marwa Rashad Salem, Hamideh Salimzadeh, Abdallah M Samy, Juan Sanabria, Francesco Sanmarchi, Arash Sarveazad, Brijesh Sathian, Monika Sawhney, Susan M Sawyer, Mete Saylan, Ione Jayce Ceola Schneider, Abdul-Aziz Seidu, Mario Šekerija, Endalew Gemechu Sendo, Sadaf G Sepanlou, Allen Seylani, Kenbon Seyoum, Feng Sha, Omid Shafaat, Masood Ali Shaikh, Erfan Shamsoddin, Mohammed Shannawaz, Rajesh Sharma, Sara Sheikhbahaei, Adithi Shetty, B Suresh Kumar Shetty, Pavanchand H Shetty, Jae Il Shin, Reza Shirkoohi, K M Shivakumar, Parnian Shobeiri, Soraya Siabani, Migbar Mekonnen Sibhat, Sudeep K Siddappa Malleshappa, Negussie Boti Sidemo, Diego Augusto Santos Silva, Guilherme Silva Julian, Achintya Dinesh Singh, Jasvinder A Singh, Jitendra Kumar Singh, Surjit Singh, Abiy H Sinke, Yitagesu Sintayehu, Valentin Yurievich Skryabin, Anna Aleksandrovna Skryabina, Lee Smith, Ahmad Sofi-Mahmudi, Mohammad Sadegh Soltani-Zangbar, Suhang Song, Emma Elizabeth Spurlock, Paschalis Steiropoulos, Kurt Straif, Ranjeeta Subedi, Mu'awiyyah Babale Sufiyan, Rizwan Suliankatchi Abdulkader, Saima Sultana, Viktória Szerencsés, Miklós Szócska, Seidamir Pasha Tabaeian, Rafael Tabarés-Seisdedos, Mohammadreza Tabary, Takahiro Tabuchi, Hooman Tadbiri, Majid Taheri, Amir Taherkhani, Ken Takahashi, Mircea Tampa, Ker-Kan Tan, Vivian Y Tat, Ahmad Tavakoli, Abdelghani Tbakhi, Arash Tehrani-Banihashemi, Mohamad-Hani Temsah, Fisaha Haile Tesfay, Bekele Tesfaye, Jarnail Singh Thakur, Rekha Thapar, Aravind Thavamani, Arulmani Thiyagarajan, Nihal Thomas, Ruoyan Tobe-Gai, Munkhsaikhan Togtmol, Seyed Abolfazl Tohidast, Hamid Reza Tohidinik, Musliu Adetola Tolani, Daniel Nigusse Tollosa, Mathilde Touvier, Marcos Roberto Tovani-Palone, Eugenio Traini, Bach Xuan Tran, Mai Thi Ngoc Tran, Jaya Prasad Tripathy, Biruk Shalmeno Tusa, Gebresilasea Gendisha Ukke, Irfan Ullah, Saif Ullah, Krishna Kishore Umapathi, Bhaskaran Unnikrishnan, Era Upadhyay, Tolassa Wakayo Ushula, Marco Vacante, Sahel Valadan Tahbaz, Shoban Babu Varthya, Massimiliano Veroux, Paul J Villeneuve, Francesco S Violante, Vasily Vlassov, Giang Thu Vu, Yasir Waheed, Ning Wang, Paul Ward, Adisu Birhanu Weldesenbet, Yi Feng Wen, Ronny Westerman, Andrea Sylvia Winkler, Befikadu Legesse Wubishet, Suowen Xu, Seyed Hossein Yahyazadeh Jabbari, Lin Yang, Sanni Yaya, Vahid Yazdi-Feyzabadi, Taklo Simeneh Yazie, Sisay Shewasinad Yehualashet, Alex Yeshaneh, Yigizie Yeshaw, Birhanu Wubale Yirdaw, Naohiro Yonemoto, Mustafa Z Younis, Zabihollah Yousefi, Chuanhua Yu, Ismaeel Yunusa, Vesna Zadnik, Mazyar Zahir, Telma Zahirian Moghadam, Mohammad Zamani, Maryam Zamanian, Hamed Zandian, Fariba Zare, Mikhail Sergeevich Zastrozhin, Anasthasia Zastrozhina, Jianrong Zhang, Zhi-Jiang Zhang, Arash Ziapour, Mohammad Zoladl, Christopher J L Murray, Christina Fitzmaurice, Archie Bleyer, Nickhill Bhakta, Alvarez E.M., Force L.M., Xu R., Compton K., Lu D., Henrikson H.J., Kocarnik J.M., Harvey J.D., Pennini A., Dean F.E., Fu W., Vargas M.T., Keegan T.H.M., Ariffin H., Barr R.D., Erdomaeva Y.A., Gunasekera D.S., John-Akinola Y.O., Ketterl T.G., Kutluk T., Malogolowkin M.H., Mathur P., Radhakrishnan V., Ries L.A.G., Rodriguez-Galindo C., Sagoyan G.B., Sultan I., Abbasi B., Abbasi-Kangevari M., Abbasi-Kangevari Z., Abbastabar H., Abdelmasseh M., Abd-Elsalam S., Abdoli A., Abebe H., Abedi A., Abidi H., Abolhassani H., Abubaker Ali H., Abu-Gharbieh E., Achappa B., Acuna J.M., Adedeji I.A., Adegboye O.A., Adnani Q.E.S., Advani S.M., Afzal M.S., Aghaie Meybodi M., Ahadinezhad B., Ahinkorah B.O., Ahmad S., Ahmadi S., Ahmed M.B., Ahmed Rashid T., Ahmed Salih Y., Aiman W., Akalu G.T., Al Hamad H., Alahdab F., AlAmodi A.A., Alanezi F.M., Alanzi T.M., Alem A.Z., Alem D.T., Alemayehu Y., Alhalaiqa F.N., Alhassan R.K., Ali S., Alicandro G., Alipour V., Aljunid S.M., Alkhayyat M., Alluri S., Almasri N.A., Al-Maweri S.A., Almustanyir S., Al-Raddadi R.M., Alvis-Guzman N., Ameyaw E.K., Amini S., Amu H., Ancuceanu R., Andrei C.L., Andrei T., Ansari F., Ansari-Moghaddam A., Anvari D., Anyasodor A.E., Arabloo J., Arab-Zozani M., Argaw A.M., Arshad M., Arulappan J., Aryannejad A., Asemi Z., Asghari Jafarabadi M., Atashzar M.R., Atorkey P., Atreya A., Attia S., Aujayeb A., Ausloos M., Avila-Burgos L., Awedew A.F., Ayala Quintanilla B.P., Ayele A.D., Ayen S.S., Azab M.A., Azadnajafabad S., Azami H., Azangou-Khyavy M., Azari Jafari A., Azarian G., Azzam A.Y., Bahadory S., Bai J., Baig A.A., Baker J.L., Banach M., Barnighausen T.W., Barone-Adesi F., Barra F., Barrow A., Basaleem H., Batiha A.-M.M., Behzadifar M., Bekele N.C., Belete R., Belgaumi U.I., Bell A.W., Berhie A.Y., Bhagat D.S., Bhagavathula A.S., Bhardwaj N., Bhardwaj P., Bhaskar S., Bhattacharyya K., Bhojaraja V.S., Bibi S., Bijani A., Biondi A., Birara S., Bjorge T., Bolarinwa O.A., Bolla S.R., Boloor A., Braithwaite D., Brenner H., Bulamu N.B., Burkart K., Bustamante-Teixeira M.T., Butt N.S., Butt Z.A., Caetano dos Santos F.L., Cao C., Cao Y., Carreras G., Catala-Lopez F., Cembranel F., Cerin E., Chakinala R.C., Chakraborty P.A., Chattu V.K., Chaturvedi P., Chaurasia A., Chavan P.P., Chimed-Ochir O., Choi J.-Y.J., Christopher D.J., Chu D.-T., Chung M.T., Conde J., Costa V.M., Da'ar O.B., Dadras O., Dahlawi S.M.A., Dai X., Damiani G., D'Amico E., Dandona L., Dandona R., Daneshpajouhnejad P., Darwish A.H., Daryani A., De la Hoz F.P., Debela S.A., Demie T.G.G., Demissie G.D., Demissie Z.G., Denova-Gutierrez E., Derbew Molla M., Desai R., Desta A.A., Dhamnetiya D., Dharmaratne S.D., Dhimal M.L., Dhimal M., Dianatinasab M., Didehdar M., Diress M., Djalalinia S., Do H.P., Doaei S., Dorostkar F., dos Santos W.M., Drake T.M., Ekholuenetale M., El Sayed I., El Sayed Zaki M., El Tantawi M., El-Abid H., Elbahnasawy M.A., Elbarazi I., Elhabashy H.R., Elhadi M., El-Jaafary S.I., Enyew D.B., Erkhembayar R., Eshrati B., Eskandarieh S., Faisaluddin M., Fares J., Farooque U., Fasanmi A.O., Fatima W., Ferreira de Oliveira J.M.P., Ferrero S., Ferro Desideri L., Fetensa G., Filip I., Fischer F., Fisher J.L., Foroutan M., Fukumoto T., Gaal P.A., Gad M.M., Gaewkhiew P., Gallus S., Garg T., Gebremeskel T.G., Gemeda B.N.B., Getachew T., Ghafourifard M., Ghamari S.-H., Ghashghaee A., Ghassemi F., Ghith N., Gholami A., Gholizadeh Navashenaq J., Gilani S.A., Ginindza T.G., Gizaw A.T., Glasbey J.C., Goel A., Golechha M., Goleij P., Golinelli D., Gopalani S.V., Gorini G., Goudarzi H., Goulart B.N.G., Grada A., Gubari M.I.M., Guerra M.R., Guha A., Gupta B., Gupta S., Gupta V.B., Gupta V.K., Haddadi R., Hafezi-Nejad N., Hailu A., Haj-Mirzaian A., Halwani R., Hamadeh R.R., Hambisa M.T., Hameed S., Hamidi S., Haque S., Hariri S., Haro J.M., Hasaballah A.I., Hasan S.M.M., Hashemi S.M., Hassan T.S., Hassanipour S., Hay S.I., Hayat K., Hebo S.H., Heidari G., Heidari M., Herrera-Serna B.Y., Herteliu C., Heyi D.Z., Hezam K., Hole M.K., Holla R., Horita N., Hossain M.M., Hossain M.B., Hosseini M.-S., Hosseini M., Hosseinzadeh A., Hosseinzadeh M., Hostiuc M., Hostiuc S., Househ M., Hsairi M., Huang J., Hussein N.R., Hwang B.-F., Ibitoye S.E., Ilesanmi O.S., Ilic I.M., Ilic M.D., Innos K., Irham L.M., Islam R.M., Islam S.M.S., Ismail N.E., Isola G., Iwagami M., Jacob L., Jadidi-Niaragh F., Jain V., Jakovljevic M., Janghorban R., Javadi Mamaghani A., Jayaram S., Jayawardena R., Jazayeri S.B., Jebai R., Jha R.P., Joo T., Joseph N., Joukar F., Jurisson M., Kaambwa B., Kabir A., Kalankesh L.R., Kaliyadan F., Kamal Z., Kamath A., Kandel H., Kar S.S., Karaye I.M., Karimi A., Kassa B.G., Kauppila J.H., Kemp Bohan P.M., Kengne A.P., Kerbo A.A., Keykhaei M., Khader Y.S., Khajuria H., Khalili N., Khan E.A., Khan G., Khan M., Khan M.N., Khan M.A., Khanali J., Khayamzadeh M., Khosravizadeh O., Khubchandani J., Khundkar R., Kim M.S., Kim Y.J., Kisa A., Kisa S., Kissimova-Skarbek K., Kolahi A.-A., Kopec J.A., Koteeswaran R., Koulmane Laxminarayana S.L., Koyanagi A., Kugbey N., Kumar G.A., Kumar N., Kwarteng A., La Vecchia C., Lan Q., Landires I., Lasrado S., Lauriola P., Ledda C., Lee S.-W., Lee W.-C., Lee Y.Y., Lee Y.H., Leigh J., Leong E., Li B., Li J., Li M.-C., Lim S.S., Liu X., Lobo S.W., Loureiro J.A., Lugo A., Lunevicius R., Magdy Abd El Razek H., Magdy Abd El Razek M., Mahmoudi M., Majeed A., Makki A., Male S., Malekpour M.-R., Malekzadeh R., Malik A.A., Mamun M.A., Manafi N., Mansour-Ghanaei F., Mansouri B., Mansournia M.A., Martini S., Masoumi S.Z., Matei C.N., Mathur M.R., McAlinden C., Mehrotra R., Mendoza W., Menezes R.G., Mentis A.-F.A., Meretoja T.J., Mersha A.G., Mesregah M.K., Mestrovic T., Miao Jonasson J., Miazgowski B., Michalek I.M., Miller T.R., Mingude A.B., Mirmoeeni S., Mirzaei H., Misra S., Mithra P., Mohammad K.A., Mohammadi M., Mohammadi S.M., Mohammadian-Hafshejani A., Mohammadpourhodki R., Mohammed A., Mohammed S., Mohammed T.A., Moka N., Mokdad A.H., Molokhia M., Momtazmanesh S., Monasta L., Moni M.A., Moradi G., Moradi Y., Moradzadeh M., Moradzadeh R., Moraga P., Morrison S.D., Mostafavi E., Mousavi Khaneghah A., Mpundu-Kaambwa C., Mubarik S., Mwanri L., Nabhan A.F., Nagaraju S.P., Nagata C., Naghavi M., Naimzada M.D., Naldi L., Nangia V., Naqvi A.A., Narasimha Swamy S., Narayana A.I., Nayak B.P., Nayak V.C., Nazari J., Nduaguba S.O., Negoi I., Negru S.M., Nejadghaderi S.A., Nepal S., Neupane Kandel S., Nggada H.A., Nguyen C.T., Nnaji C.A., Nosrati H., Nouraei H., Nowroozi A., Nunez-Samudio V., Nwatah V.E., Nzoputam C.I., Oancea B., Odukoya O.O., Oguntade A.S., Oh I.-H., Olagunju A.T., Olagunju T.O., Olakunde B.O., Oluwasanu M.M., Omar E., Omar Bali A., Ong S., Onwujekwe O.E., Ortega-Altamirano D.V., Otstavnov N., Otstavnov S.S., Oumer B., Owolabi M.O., P A M., Padron-Monedero A., Padubidri J.R., Pakshir K., Pana A., Pandey A., Pardhan S., Pashazadeh Kan F., Pasovic M., Patel J.R., Pati S., Pattanshetty S.M., Paudel U., Pereira R.B., Peres M.F.P., Perianayagam A., Postma M.J., Pourjafar H., Pourshams A., Prashant A., Pulakunta T., Qadir M.M.F.F., Rabiee M., Rabiee N., Radfar A., Radhakrishnan R.A., Rafiee A., Rafiei A., Rafiei S., Rahim F., Rahimzadeh S., Rahman M., Rahman M.A., Rahmani A.M., Rajesh A., Ramezani-Doroh V., Ranabhat K., Ranasinghe P., Rao C.R., Rao S.J., Rashedi S., Rashidi M., Rashidi M.-M., Rath G.K., Rawaf D.L., Rawaf S., Rawal L., Rawassizadeh R., Razeghinia M.S., Regasa M.T., Renzaho A.M.N., Rezaei M., Rezaei N., Rezaeian M., Rezapour A., Rezazadeh-Khadem S., Riad A., Rios Lopez L.E., Rodriguez J.A.B., Ronfani L., Roshandel G., Rwegerera G.M., Saber-Ayad M.M., Sabour S., Saddik B., Sadeghi E., Sadeghian S., Saeed U., Sahebkar A., Saif-Ur-Rahman K.M., Sajadi S.M., Salahi S., Salehi S., Salem M.R., Salimzadeh H., Samy A.M., Sanabria J., Sanmarchi F., Sarveazad A., Sathian B., Sawhney M., Sawyer S.M., Saylan M., Schneider I.J.C., Seidu A.-A., Sekerija M., Sendo E.G., Sepanlou S.G., Seylani A., Seyoum K., Sha F., Shafaat O., Shaikh M.A., Shamsoddin E., Shannawaz M., Sharma R., Sheikhbahaei S., Shetty A., Shetty B.S.K., Shetty P.H., Shin J.I., Shirkoohi R., Shivakumar K.M., Shobeiri P., Siabani S., Sibhat M.M., Siddappa Malleshappa S.K., Sidemo N.B., Silva D.A.S., Silva Julian G., Singh A.D., Singh J.A., Singh J.K., Singh S., Sinke A.H., Sintayehu Y., Skryabin V.Y., Skryabina A.A., Smith L., Sofi-Mahmudi A., Soltani-Zangbar M.S., Song S., Spurlock E.E., Steiropoulos P., Straif K., Subedi R., Sufiyan M.B., Suliankatchi Abdulkader R., Sultana S., Szerencses V., Szocska M., Tabaeian S.P., Tabares-Seisdedos R., Tabary M., Tabuchi T., Tadbiri H., Taheri M., Taherkhani A., Takahashi K., Tampa M., Tan K.-K., Tat V.Y., Tavakoli A., Tbakhi A., Tehrani-Banihashemi A., Temsah M.-H., Tesfay F.H., Tesfaye B., Thakur J.S., Thapar R., Thavamani A., Thiyagarajan A., Thomas N., Tobe-Gai R., Togtmol M., Tohidast S.A., Tohidinik H.R., Tolani M.A., Tollosa D.N., Touvier M., Tovani-Palone M.R., Traini E., Tran B.X., Tran M.T.N., Tripathy J.P., Tusa B.S., Ukke G.G., Ullah I., Ullah S., Umapathi K.K., Unnikrishnan B., Upadhyay E., Ushula T.W., Vacante M., Valadan Tahbaz S., Varthya S.B., Veroux M., Villeneuve P.J., Violante F.S., Vlassov V., Vu G.T., Waheed Y., Wang N., Ward P., Weldesenbet A.B., Wen Y.F., Westerman R., Winkler A.S., Wubishet B.L., Xu S., Yahyazadeh Jabbari S.H., Yang L., Yaya S., Yazdi-Feyzabadi V., Yazie T.S., Yehualashet S.S., Yeshaneh A., Yeshaw Y., Yirdaw B.W., Yonemoto N., Younis M.Z., Yousefi Z., Yu C., Yunusa I., Zadnik V., Zahir M., Zahirian Moghadam T., Zamani M., Zamanian M., Zandian H., Zare F., Zastrozhin M.S., Zastrozhina A., Zhang J., Zhang Z.-J., Ziapour A., Zoladl M., Murray C.J.L., Fitzmaurice C., Bleyer A., Bhakta N., Real World Studies in PharmacoEpidemiology, -Genetics, -Economics and -Therapy (PEGET), Value, Affordability and Sustainability (VALUE), Microbes in Health and Disease (MHD), NOVA Medical School|Faculdade de Ciências Médicas (NMS|FCM), HUS Comprehensive Cancer Center, University of Helsinki, Bill & Melinda Gates Foundation, American Lebanese Syrian Associated Charities, St. Baldrick's Foundation, NIH - National Cancer Institute (NCI) (Estados Unidos), Epidemiologie, and RS: NUTRIM - R3 - Respiratory & Age-related Health
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adolescent cancer, global burden of disease, epidemiology ,Adult ,Male ,Adolescent ,3122 Cancers ,UNITED-STATES ,Disability-Adjusted Life Year ,Adolescents ,Socioeconomic Factor ,Global Health ,Global Burden of Disease ,Young Adult ,Life Expectancy ,SDG 3 - Good Health and Well-being ,Risk Factors ,WORLDWIDE ,Neoplasms ,Cause of Death ,Prevalence ,Humans ,1112 Oncology and Carcinogenesis ,Oncology & Carcinogenesis ,Mortality ,Cancer burden analyses ,Cancer ,ACUTE LYMPHOBLASTIC-LEUKEMIA ,disease ,Global burden ,OUTCOMES ,CHILDHOOD-CANCER ,Incidence ,Risk Factor ,the GBD 2019 methodology ,Disability-Adjusted Life Years ,GBD 2019 Adolescent Young Adult Cancer Collaborators ,CARE ,Cancer control efforts ,Socioeconomic Factors ,Oncology ,Neoplasm ,Female ,Young adults ,Human - Abstract
Funding: J A Loureiro acknowledges support from Base Funding UIDB/00511/2020 of the LEPABE funded by national funds through the FCT/MCTES (PIDDAC) and Scientific Employment Stimulus (FCT) [CEECINST/00049/2018]. Background: In estimating the global burden of cancer, adolescents and young adults with cancer are often overlooked, despite being a distinct subgroup with unique epidemiology, clinical care needs, and societal impact. Comprehensive estimates of the global cancer burden in adolescents and young adults (aged 15–39 years) are lacking. To address this gap, we analysed results from the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2019, with a focus on the outcome of disability-adjusted life-years (DALYs), to inform global cancer control measures in adolescents and young adults. Methods: Using the GBD 2019 methodology, international mortality data were collected from vital registration systems, verbal autopsies, and population-based cancer registry inputs modelled with mortality-to-incidence ratios (MIRs). Incidence was computed with mortality estimates and corresponding MIRs. Prevalence estimates were calculated using modelled survival and multiplied by disability weights to obtain years lived with disability (YLDs). Years of life lost (YLLs) were calculated as age-specific cancer deaths multiplied by the standard life expectancy at the age of death. The main outcome was DALYs (the sum of YLLs and YLDs). Estimates were presented globally and by Socio-demographic Index (SDI) quintiles (countries ranked and divided into five equal SDI groups), and all estimates were presented with corresponding 95% uncertainty intervals (UIs). For this analysis, we used the age range of 15–39 years to define adolescents and young adults. Findings: There were 1·19 million (95% UI 1·11–1·28) incident cancer cases and 396 000 (370 000–425 000) deaths due to cancer among people aged 15–39 years worldwide in 2019. The highest age-standardised incidence rates occurred in high SDI (59·6 [54·5–65·7] per 100 000 person-years) and high-middle SDI countries (53·2 [48·8–57·9] per 100 000 person-years), while the highest age-standardised mortality rates were in low-middle SDI (14·2 [12·9–15·6] per 100 000 person-years) and middle SDI (13·6 [12·6–14·8] per 100 000 person-years) countries. In 2019, adolescent and young adult cancers contributed 23·5 million (21·9–25·2) DALYs to the global burden of disease, of which 2·7% (1·9–3·6) came from YLDs and 97·3% (96·4–98·1) from YLLs. Cancer was the fourth leading cause of death and tenth leading cause of DALYs in adolescents and young adults globally. Interpretation: Adolescent and young adult cancers contributed substantially to the overall adolescent and young adult disease burden globally in 2019. These results provide new insights into the distribution and magnitude of the adolescent and young adult cancer burden around the world. With notable differences observed across SDI settings, these estimates can inform global and country-level cancer control efforts. Funding: Bill & Melinda Gates Foundation, American Lebanese Syrian Associated Charities, St Baldrick's Foundation, and the National Cancer Institute. publishersversion published
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- 2022
9. Progression of Bone Marrow Lesions and the Development of Knee Osteoarthritis: Osteoarthritis Initiative Data.
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Moradi K, Mohammadi S, Roemer FW, Momtazmanesh S, Hathaway Q, Ibad HA, Hunter DJ, Guermazi A, and Demehri S
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- Humans, Male, Female, Middle Aged, Retrospective Studies, Aged, Prospective Studies, Knee Joint diagnostic imaging, Knee Joint pathology, Bone Marrow Diseases diagnostic imaging, Risk Factors, Deep Learning, Osteoarthritis, Knee diagnostic imaging, Osteoarthritis, Knee pathology, Magnetic Resonance Imaging methods, Disease Progression, Bone Marrow diagnostic imaging, Bone Marrow pathology
- Abstract
Background Bone marrow lesions (BMLs) are a known risk factor for incident knee osteoarthritis (OA), and deep learning (DL) methods can assist in automated segmentation and risk prediction. Purpose To develop and validate a DL model for quantifying tibiofemoral BML volume on MRI scans in knees without radiographic OA and to assess the association between longitudinal BML changes and incident knee OA. Materials and Methods This retrospective study included knee MRI scans from the Osteoarthritis Initiative prospective cohort (February 2004-October 2015). The DL model, developed between August and October 2023, segmented the tibiofemoral joint into 10 subregions and measured BML volume in each subregion. Baseline and 4-year follow-up MRI scans were analyzed. Knees without OA at baseline were categorized into three groups based on 4-year BML volume changes: BML-free, BML regression, and BML progression. The risk of developing radiographic and symptomatic OA over 9 years was compared among these groups. Results Included were 3869 non-OA knees in 2430 participants (mean age, 59.5 years ± 9.0 [SD]; female-to-male ratio, 1.3:1). At 4-year follow-up, 2216 knees remained BML-free, 1106 showed an increase in BML volume, and 547 showed a decrease in BML volume. BML progression was associated with a higher risk of developing radiographic knee OA compared with remaining BML-free (hazard ratio [HR] = 3.0; P < .001) or BML regression (HR = 2.0; P < .001). Knees with BML progression also had a higher risk of developing symptomatic OA compared with BML-free knees (HR = 1.3; P < .001). Larger volume changes in BML progression were associated with a higher risk of developing both radiographic OA (HR = 2.0; P < .001) and symptomatic OA (HR = 1.7; P < .001). In almost all subchondral plates, especially the medial femur and tibia, BML progression was associated with a higher risk of developing both radiographic and symptomatic OA compared with remaining BML-free. Conclusion Knees with BML progression, according to subregion and extent of volume changes, were associated with an increased risk of OA compared with BML-free knees and knees with BML regression, highlighting the potential utility of monitoring BML volume changes in evaluating interventions to prevent OA development. ClinicalTrials.gov Identifier: NCT00080171 © RSNA, 2024 Supplemental material is available for this article. See also the editorial by Said and Sakly in this issue.
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- 2024
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10. Nonalcoholic Fatty Liver Disease as a Potential Risk Factor for Cardiovascular Disease in Patients with Type 2 Diabetes: A Prospective Cohort Study.
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Dehghani Firouzabadi M, Poopak A, Sheikhy A, Dehghani Firouzabadi F, Moosaie F, Rabizadeh S, Momtazmanesh S, Nakhjavani M, and Esteghamati A
- Abstract
Methods and Results: In this prospective cohort study, 1197 patients with type 2 diabetes (T2D) were divided into two groups (360 patients with NAFLD and 847 without NAFLD) and were followed for a median of 5 years for the incidence of CVD. Cox regression analysis was used to assess the association between NAFLD, liver enzyme level, aspartate aminotransferase to platelet ratio index (APRI), and the incidence risk of CVD and its subgroups (i.e., myocardial infarction, chronic heart disease, coronary artery bypass grafting, and percutaneous coronary intervention). There was a significant positive association between CVD incidence and NAFLD (HR = 1.488, 95% CI = 1.041-2.124, p value = 0.029). Although patients with NAFLD had higher levels of ALT and AST levels ( p value = <0.001), there was no significant association between liver enzymes and the incidence risk of CVD when adjusted for different variables. Furthermore, NAFLD was associated with NAFLD APRI Q (2), APRI Q (3), and APRIQ (4) (1.365 (1.046-1.781), 1.623 (1.234-2.135), and 3.373 (2.509-4.536)), respectively., Conclusion: NAFLD increased the incidence risk of CVD in T2D. However, there was no association between liver enzymes (ALT, AST, ALK-P, and GGT) and a higher incidence risk of CVD in T2D when adjusted for confounding variables., Competing Interests: The authors declare that they have no conflicts of interest., (Copyright © 2024 Mohammad Dehghani Firouzabadi et al.)
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- 2024
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11. Infective Endocarditis in North Africa and the Middle East, 1990‒2019: Updates from the Global Burden of Disease Study 2019.
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Malakan Rad E, Momtazmanesh S, Saeedi Moghaddam S, Rezaei N, Rezaei N, Jamshidi H, Naghavi M, Larijani B, and Farzadfar F
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- Humans, Male, Female, Africa, Northern epidemiology, Middle East epidemiology, Middle Aged, Adult, Child, Aged, Child, Preschool, Incidence, Adolescent, Young Adult, Infant, Prevalence, Sex Distribution, Age Distribution, Aged, 80 and over, Infant, Newborn, Global Burden of Disease, Disability-Adjusted Life Years, Endocarditis epidemiology
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Background: Infective endocarditis (IE), a severe and economically impactful condition, lacks substantial epidemiological data in the North Africa and Middle East (NAME) region. This study focused on analyzing the trends and burden of IE in NAME from 1990 to 2019, taking into account factors like age, gender, and socio-demographic index (SDI)., Methods: The Global Burden of Disease data from 1990 to 2019 was retrieved from the Institute for Health Metrics and Evaluation (IHME) website., Results: Between 1990 and 2019, the age-standardized rates (ASR) for IE incidence increased by 59%, and prevalence and years lived with disability (YLDs) rose by 12% and 9%, respectively, while the ASRs for deaths, disability-adjusted life years (DALYs), and years of life lost (YLLs) saw reductions of 22%, 34%, and 34% in the NAME region. Death rates among children under five declined by 72%. Gender and the SDI did not significantly influence these changes. Saudi Arabia witnessed the most significant increase in ASR of IE incidence since 1990, while Turkey had the highest rates in 2019. The year 2019 also saw the highest death rate among those aged 70 and over, with over 91000 DALYs from IE. DALYs decreased by 71.5% for children under five from 1990 to 2019 but remained stable for individuals in their seventies. Jordan showed the most notable decrease in ASRs for deaths, DALYs, and YLLs among children under five., Conclusion: This study highlights the changing epidemiology of IE in the NAME region, recommending the establishment of multidisciplinary IE registries, antibiotic prophylaxis guidelines for healthcare-associated IE, and strategies to control antimicrobial resistance as key mitigation measures., (© 2024 The Author(s). This is an open-access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.)
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- 2024
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12. Connecting the dots: An updated review of the role of autoimmunity in narcolepsy and emerging immunotherapeutic approaches.
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Valizadeh P, Momtazmanesh S, Plazzi G, and Rezaei N
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- Animals, Humans, Autoimmunity, Orexins, Inflammation complications, Immunotherapy, Influenza A Virus, H1N1 Subtype, Narcolepsy etiology
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Background: Narcolepsy type 1 (NT1) is a chronic disorder characterized by pathological daytime sleepiness and cataplexy due to the disappearance of orexin immunoreactive neurons in the hypothalamus. Genetic and environmental factors point towards a potential role for inflammation and autoimmunity in the pathogenesis of the disease. This study aims to comprehensively review the latest evidence on the autoinflammatory mechanisms and immunomodulatory treatments aimed at suspected autoimmune pathways in NT1., Methods: Recent relevant literature in the field of narcolepsy, its autoimmune hypothesis, and purposed immunomodulatory treatments were reviewed., Results: Narcolepsy is strongly linked to specific HLA alleles and T-cell receptor polymorphisms. Furthermore, animal studies and autopsies have found infiltration of T cells in the hypothalamus, supporting T cell-mediated immunity. However, the role of autoantibodies has yet to be definitively established. Increased risk of NT1 after H1N1 infection and vaccination supports the autoimmune hypothesis, and the potential role of coronavirus disease 2019 and vaccination in triggering autoimmune neurodegeneration is a recent finding. Alterations in cytokine levels, gut microbiota, and microglial activation indicate a potential role for inflammation in the disease's development. Reports of using immunotherapies in NT1 patients are limited and inconsistent. Early treatment with IVIg, corticosteroids, plasmapheresis, and monoclonal antibodies has seldomly shown some potential benefits in some studies., Conclusion: The current body of literature supports that narcolepsy is an autoimmune disorder most likely caused by T-cell involvement. However, the potential for immunomodulatory treatments to reverse the autoinflammatory process remains understudied. Further clinical controlled trials may provide valuable insights into this area., Competing Interests: Declaration of competing interest The authors declare that they have no competing interests., (Copyright © 2023 Elsevier B.V. All rights reserved.)
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- 2024
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13. Effect of famotidine on cognitive and behavioral dysfunctions induced in post-COVID-19 infection: A randomized, double-blind, and placebo-controlled study.
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Momtazmanesh S, Ansari S, Izadi Z, Shobeiri P, Vatankhah V, Seifi A, Ghiasvand F, Bahrami M, Salehi M, Noorbala AA, and Akhondzadeh S
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- Humans, Iran, Histamine H2 Antagonists adverse effects, Cognition, Double-Blind Method, Treatment Outcome, Famotidine adverse effects, COVID-19 complications
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Objectives: This is an investigation of the efficacy and safety of famotidine, a selective histamine H2 receptor antagonist, on improvement of cognitive impairment, depression and anxiety symptoms developing post-COVID-19, in a 12-week, randomized controlled trial., Methods: A total of 50 patients with a confirmed diagnosis of COVID-19 and a score ≤ 23 on the Mini-Mental State Examination (MMSE) test or a score ≤ 22 on the Montreal Cognitive Assessment (MoCA) were randomly assigned to either the famotidine (40 mg twice daily) or the placebo group. Changes in MMSE scores at weeks 6 and 12 were the primary outcome, while changes in other scales were the secondary outcomes. Participants and evaluators were blinded., Results: At weeks 6 and 12, patients in the famotidine group had significantly higher MMSE scores (p = 0.014, p < 0.001, respectively). Regarding the MoCA scale, the famotidine group had a significantly higher score at weeks 6 and 12 (p = 0.001, p < 0.001, respectively). Considering the HAM-D scale (Hamilton Depression Rating Scale), at weeks 6 and 12, the famotidine group experienced a larger reduction (p = 0.009, p = 0.02, respectively). Additionally, comparison of the HAM-A scale scores (Hamilton Anxiety Rating Scale) at weeks 6 and 12 showed a statistically significant larger reduction in the famotidine group (p = 0.04, p = 0.02, respectively). The two groups did not differ in the frequency of adverse effects., Conclusion: Our study supports safety and efficacy of famotidine in treating cognitive impairment, depression and anxiety symptoms induced by COVID-19., Trial Registration: This trial was registered at the Iranian registry of clinical trials (IRCT: www.irct.ir; registration number: IRCT20090117001556N138)., Competing Interests: Declaration of Competing Interest No conflict of interest exists for any of the authors associated with the manuscript., (Copyright © 2023 Elsevier Inc. All rights reserved.)
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- 2023
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14. Immune checkpoint inhibitors in advanced cutaneous melanoma: a systematic review and meta-analysis of efficacy and review of characteristics.
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Mahdiabadi S, Momtazmanesh S, Karimi A, and Rezaei N
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- Humans, Immune Checkpoint Inhibitors pharmacology, Immune Checkpoint Inhibitors therapeutic use, Programmed Cell Death 1 Receptor, CTLA-4 Antigen, Melanoma therapy, Skin Neoplasms drug therapy
- Abstract
Objectives: Immune checkpoint inhibitors (ICIs) are one of the most promising approaches toward advanced melanoma. Here, we aimed to perform a meta-analysis of randomized controlled trials (RCTs) to evaluate the efficacy of all studied ICIs., Methods: We conducted a comprehensive search to identify the relevant publications (PROSPERO registration ID: CRD42023470649). Then we performed a meta-analysis to evaluate the efficacy of different ICIs for metastatic melanoma. We used Cochrane's tool to assess the quality of studies. The outcome measures were overall survival (OS), progression-free survival (PFS), and recurrence-free survival (RFS)., Results: Twenty reports of RCTs entered our systematic review, 18 of which were included in our data analysis. ICIs showed improved survival compared with control group (hazard ratio (HR) = 0.57; 95% CI: 0.43-0.71; P <0.001). Using a meta-regression, we found a significant relation between patients' mean age and their OS ( P <0.001, R 2 = 100.00%). Also, our analysis revealed greater HR for CTLA-4 inhibitors than PD-1/PD-L1 inhibitors (HR = 0.71, 95%CI: 0.63-0.79, P <0.001 vs. HR = 0.63, 95%CI: 0.46-0.79, P <0.001). The effect sizes of different types of PD-1/PD-L1 inhibitors were comparable., Conclusion: Our results suggest that ICI-based immunotherapy is associated with enhanced OS, PFS, and RFS ( P < 0.001) and will assist clinicians in choosing the optimal approach toward treating metastatic melanoma.
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- 2023
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15. COVID-19 and MAFLD/NAFLD: An updated review.
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Nowroozi A, Momtazmanesh S, and Rezaei N
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The COVID-19 pandemic is ongoing and places a substantial burden on healthcare systems worldwide. As we further shed light on different disease characteristics, we identify more and more groups of people at higher risk of poor COVID-19 outcomes. Metabolic-associated fatty liver disease (MAFLD) (previously non-alcoholic fatty liver disease or NAFLD) is a common metabolic disorder characterized by fat accumulation and liver fibrosis. Given its close correlation with metabolic syndrome, an established risk factor for severe COVID-19, it is necessary to investigate its interplay with the novel coronavirus. In this study, we review the available data on COVID-19 prognosis, treatment and prevention options in patients with MAFLD, and the effect that the disease and the pandemic have on MAFLD care. Furthermore, we point out the gaps in the current literature to accentuate the work that needs to be done to improve MAFLD care during the pandemic and beyond., Competing Interests: The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest., (Copyright © 2023 Nowroozi, Momtazmanesh and Rezaei.)
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- 2023
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16. Direct Mechanical Thrombectomy Versus Prior Bridging Intravenous Thrombolysis in Acute Ischemic Stroke: A Systematic Review and Meta-Analysis.
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Kolahchi Z, Rahimian N, Momtazmanesh S, Hamidianjahromi A, Shahjouei S, and Mowla A
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Background: The current guideline recommends using an intravenous tissue-type plasminogen activator (IV tPA) prior to mechanical thrombectomy (MT) in eligible acute ischemic stroke (AIS) with emergent large vessel occlusion (ELVO). Some recent studies found no significant differences in the long-term functional outcomes between bridging therapy (BT, i.e., IV tPA prior to MT) and direct MT (dMT)., Methods: We conducted a systematic review and meta-analysis to compare the safety and functional outcomes between BT and dMT in AIS patients with ELVO who were eligible for IV tPA administration. Based on the ELVO location, patients were categorized as the anterior group (occlusion of the anterior circulation), or the combined group (occlusion of the anterior and/or posterior circulation). A subgroup analysis was performed based on the study type, i.e., RCT and non-RCT., Results: Thirteen studies (3985 patients) matched the eligibility criteria. Comparing the BT and dMT groups, no significant differences in terms of mortality and good functional outcome were observed at 90 days. Symptomatic intracranial hemorrhagic (sICH) events were more frequent in BT patients in the combined group (OR = 0.73, p = 0.02); this result remained significant only in the non-RCT subgroup (OR = 0.67, p = 0.03). The RCT subgroup had a significantly higher rate of successful revascularization in BT patients (OR = 0.73, p = 0.02)., Conclusions: Our meta-analysis uncovered no significant differences in functional outcome and mortality rate at 90 days between dMT and BT in patients with AIS who had ELVO. Although BT performed better in terms of successful recanalization rate, there is a risk of increased sICH rate in this group.
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- 2023
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17. The clinical significance of biliary findings in magnetic resonance enterography of patients with inflammatory bowel disease.
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Momtazmanesh S, Gholami M, Pak N, Sima AR, Montazeri SA, Kolahdoozan S, Vahedi H, and Radmard AR
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Purpose: Given the association of inflammatory bowel disease (IBD) and primary sclerosing cholangitis (PSC), we aimed to investigate the clinical relevance of abnormal hepatobiliary findings on magnetic resonance enterography (MRE) of IBD patients considering the risk of over- or underestimation of PSC at MRE., Material and Methods: Using the MRE dataset of patients referring to a tertiary hospital and the National Registry of Crohn's and Colitis, 69 MREs, including 23 IBD-PSC, 23 IBD-without PSC, and 23 healthy controls (HC), were retrospectively reviewed by 2 experienced radiologists blinded to the clinical data, to evaluate hepatobiliary abnormalities. Sensitivity, specificity, and likelihood ratios were calculated., Results: Bile duct irregularities were the most common finding in the IBD-PSC group, with a frequency of 91%. Intra- and extrahepatic bile duct (IHBD and EHBD) irregularities were observed in 87% and 78% of PSC patients, respectively. Higher frequency of IHBD and EHBD wall thickening, bile duct dilation, EHBD stricture, and periportal oedema were observed in the IBD-PSC group. Peribiliary T2-weighted hyperintensities and contrast-enhancement were significantly more common in the IBD-PSC group than in the IBD and HC groups (48% and 35%, respectively) ( p < 0.001). Detection of biliary irregularities on MRE had a specificity of 94% (95% CI: 82-99%), a sensitivity of 91% (95% CI: 72-99%), and a positive likelihood ratio of 14.0 (95% CI: 4.7-42.1) for the diagnosis of PSC., Conclusions: This study emphasizes the importance of assessing and reporting hepatobiliary abnormalities visible in the MRE of patients with IBD to avoid a delayed diagnosis of PSC., Competing Interests: Authors declare no conflict of interest., (© Pol J Radiol 2022.)
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- 2022
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18. Artificial Intelligence in Rheumatoid Arthritis: Current Status and Future Perspectives: A State-of-the-Art Review.
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Momtazmanesh S, Nowroozi A, and Rezaei N
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Investigation of the potential applications of artificial intelligence (AI), including machine learning (ML) and deep learning (DL) techniques, is an exponentially growing field in medicine and healthcare. These methods can be critical in providing high-quality care to patients with chronic rheumatological diseases lacking an optimal treatment, like rheumatoid arthritis (RA), which is the second most prevalent autoimmune disease. Herein, following reviewing the basic concepts of AI, we summarize the advances in its applications in RA clinical practice and research. We provide directions for future investigations in this field after reviewing the current knowledge gaps and technical and ethical challenges in applying AI. Automated models have been largely used to improve RA diagnosis since the early 2000s, and they have used a wide variety of techniques, e.g., support vector machine, random forest, and artificial neural networks. AI algorithms can facilitate screening and identification of susceptible groups, diagnosis using omics, imaging, clinical, and sensor data, patient detection within electronic health record (EHR), i.e., phenotyping, treatment response assessment, monitoring disease course, determining prognosis, novel drug discovery, and enhancing basic science research. They can also aid in risk assessment for incidence of comorbidities, e.g., cardiovascular diseases, in patients with RA. However, the proposed models may vary significantly in their performance and reliability. Despite the promising results achieved by AI models in enhancing early diagnosis and management of patients with RA, they are not fully ready to be incorporated into clinical practice. Future investigations are required to ensure development of reliable and generalizable algorithms while they carefully look for any potential source of bias or misconduct. We showed that a growing body of evidence supports the potential role of AI in revolutionizing screening, diagnosis, and management of patients with RA. However, multiple obstacles hinder clinical applications of AI models. Incorporating the machine and/or deep learning algorithms into real-world settings would be a key step in the progress of AI in medicine., (© 2022. The Author(s).)
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- 2022
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19. Microstructural white matter alterations associated with migraine headaches: a systematic review of diffusion tensor imaging studies.
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Rahimi R, Dolatshahi M, Abbasi-Feijani F, Momtazmanesh S, Cattarinussi G, Aarabi MH, and Pini L
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- Humans, Diffusion Tensor Imaging methods, Magnetic Resonance Imaging, Brain diagnostic imaging, Pain, Anisotropy, White Matter diagnostic imaging, Migraine Disorders diagnostic imaging, Leukoaraiosis
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The pathophysiology of migraine as a headache disorder is still undetermined. Diffusion tensor imaging (DTI) has significantly improved our knowledge about brain microstructure in this disease. Here, we aimed to systematically review DTI studies in migraine and survey the sources of heterogeneity by investigating diffusion parameter changes associated with clinical characteristics and migraine subtypes. Microstructural changes, as revealed by widespread alteration of diffusion metrics in white matter (WM) tracts, subcortical and cortical regions, were reported by several migraine DTI studies. Specifically, we reported changes in the corpus callosum, thalamic radiations, corona radiata, and brain stem. These alterations showed high variability across migraine cycle phases. Additionally, migraine associated with depressive/anxiety symptoms revealed significant changes in the corpus callosum, internal capsule, and superior longitudinal fasciculus. No significant WM microstructural differences were observed between migraine patients with and without aura. Overall, differences between chronic and episodic migraine showed inconsistency across studies. Migraine is associated with microstructural changes in widespread regions including thalamic radiations, corpus callosum, and brain stem. These alterations can highlight neuronal damage and neuronal plasticity mechanisms either following pain stimulations occurring in migraine cycle or as a compensatory response to pain in chronic migraine. Longitudinal studies applying advanced modalities may shed new light on the underlying microstructural changes in migraine subtypes., (© 2022. The Author(s).)
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- 2022
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20. Epidemiology, burden, and attributable risks of infective endocarditis in Iran and its provinces: From 1990 to 2019.
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Ajam A, Shobeiri P, Keykhaei M, Moghaddam SS, Momtazmanesh S, Masinaei M, Esfahani Z, Rezaei N, Naderian M, Aminorroaya A, Rashidi MM, Rezaei N, Larijani B, Malakan Rad E, and Farzadfar F
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- Adult, Global Health, Humans, Incidence, Iran epidemiology, Male, Quality-Adjusted Life Years, Risk Factors, Endocarditis diagnosis, Endocarditis epidemiology, Global Burden of Disease
- Abstract
Background: Endocarditis is a potentially life-threatening infectious disease associated with significant morbidity and mortality and an escalating incidence in recent decades. In this study, as a part of the global burden of disease (GBD) 2019 study, we intend to report endocarditis burden in Iran at national and provincial levels from 1990 to 2019., Method: This study was conducted using GBD 2019 study data on endocarditis from 1990 to 2019. We gathered incidence, prevalence, disability-adjusted life years (DALYs), and mortality rates in Iran and its 31 provinces by sex and age groups as epidemiological indices for endocarditis burden. Further decomposition analysis was also performed to delineate the endocarditis new cases trend., Results: On the country scale, age-standardized incidence rate (ASIR), age-standardized prevalence rate (ASPR), age-standardized mortality rate (ASMR), and age-standardized DALYs rate were (16.5 (95% uncertainty interval 13.7 to 19.8), 3.4 (2.9 to 4.1), 0.6 (0.5 to 0.9), and 14.4 (12.0 to 21.1) in 2019, respectively. Decomposition analysis showed that only 59.2% of the overall new cases increase (114.1%) was caused by the incidence rate change. All estimated age-standardized rates were higher in men in 1990 and 2019 with a ratio of 1.1-1.5., Conclusion: The ASIR and ASPR of endocarditis increased, and the ASMR and age-standardized DALYs rate declined over the past 30 years in Iran, nearly all the provinces followed the same pattern with North Khorasan having the Highest ASIR, ASPR, ASMR, and DALYs rates in both years. High systolic blood pressure (SBP) had the greatest attributed burden among risk factors., (Copyright © 2022 Elsevier B.V. All rights reserved.)
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- 2022
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21. Imaging of intestinal vasculitis focusing on MR and CT enterography: a two-way street between radiologic findings and clinical data.
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Amouei M, Momtazmanesh S, Kavosi H, Davarpanah AH, Shirkhoda A, and Radmard AR
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Diagnosis of intestinal vasculitis is often challenging due to the non-specific clinical and imaging findings. Vasculitides with gastrointestinal (GI) manifestations are rare, but their diagnosis holds immense significance as late or missed recognition can result in high mortality rates. Given the resemblance of radiologic findings with some other entities, GI vasculitis is often overlooked on small bowel studies done using computed tomography/magnetic resonance enterography (CTE/MRE). Hereon, we reviewed radiologic findings of vasculitis with gastrointestinal involvement on CTE and MRE. The variety of findings on MRE/CTE depend upon the size of the involved vessels. Signs of intestinal ischemia, e.g., mural thickening, submucosal edema, mural hyperenhancement, and restricted diffusion on diffusion-weighted imaging, are common in intestinal vasculitis. Involvement of the abdominal aorta and the major visceral arteries is presented as concentric mural thickening, transmural calcification, luminal stenosis, occlusion, aneurysmal changes, and collateral vessels. Such findings can be observed particularly in large- and medium-vessel vasculitis. The presence of extra-intestinal findings, including within the liver, kidneys, or spleen in the form of focal areas of infarction or heterogeneous enhancement due to microvascular involvement, can be another radiologic clue in diagnosis of vasculitis. The link between the clinical/laboratory findings and MRE/CTE abnormalities needs to be corresponded when it comes to the diagnosis of intestinal vasculitis., (© 2022. The Author(s).)
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- 2022
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22. COVID-19-induced silent myocarditis and newly developed hypertension in a 3-year-old boy.
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Malakan Rad E and Momtazmanesh S
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Background: COVID-19 myocarditis occurs in 7-28% of patients admitted in the hospital with or without multisystem inflammatory syndrome. It may present as fulminant myocarditis. Dilated cardiomyopathy as a sequela of COVID-19 myocarditis has been reported in the pediatric population. However, to date, no case of silent COVID-19 myocarditis progressing to dilated cardiomyopathy has been reported in children. Furthermore, although newly developed hypertension as a sequela of COVID-19 infection has been reported in adults, there is no report of newly developed COVID-induced hypertension in children. We report a 3-year-old boy with silent COVID-19 myocarditis progressing to dilated cardiomyopathy and newly developed systemic hypertension., Case Presentation: A 3-year-old boy was referred to the emergency department because of respiratory distress. The parents gave a history of SARS-CoV-2 infection in the child 5 months ago that was manifested as fever and cough, for which he was treated as an outpatient. Echocardiographic examination revealed a severe decrease in left ventricular systolic function in favor of dilated cardiomyopathy. Cardiac magnetic resonance imaging established the diagnosis of myocarditis. The patient left ventricular systolic function did not improve after 2 weeks of intravenous inotropic support. Therefore, the child was transferred to another tertiary center with extracorporeal membrane oxygenation and pediatric cardiac transplantation facilities., Conclusions: COVID-19 can induce silent myocarditis with progression to dilated cardiomyopathy and newly developed systemic hypertension. Thus, a thorough examination of the heart and measurement of blood pressure are mandatory in every child with COVID-19 infection. Cardiac MR is an indispensable tool in the diagnosis, follow-up, and prognostication of COVID-19 myocarditis. Moreover, four-chamber speckle tracking strain imaging showed apical rocking in all the four heart chambers in this child with opposite direction in the failed left ventricle compared with other cardiac chambers. Lastly, the presence of septal flash on M-mode echocardiography, apical rocking and prestretch-rebound stretch patterns on longitudinal strain imaging of the failed left ventricle in this child may be of predictive value for response to cardiac resynchronization therapy., (© 2022. The Author(s).)
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- 2022
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23. Global, regional, and national burden and quality of care index of endocarditis: the global burden of disease study 1990-2019.
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Momtazmanesh S, Saeedi Moghaddam S, Malakan Rad E, Azadnajafabad S, Ebrahimi N, Mohammadi E, Rouhifard M, Rezaei N, Masinaei M, Rezaei N, Keykhaei M, Aminorroaya A, Ghamari A, Larijani B, and Farzadfar F
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- Female, Global Health, Humans, Male, Quality of Health Care, Quality-Adjusted Life Years, Endocarditis diagnosis, Endocarditis epidemiology, Endocarditis therapy, Global Burden of Disease
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Aims: Endocarditis accounts for significant morbidity and mortality. Timely diagnosis and prompt treatment are of paramount importance for optimal patient outcome. However, only few studies have assessed quality of care (QoC) in endocarditis. We aimed to describe QoC and changes in epidemiological features of endocarditis from 1990 to 2019., Methods and Results: Using primary indices of mortality, incidence, years of life lost, years lived with disability, and disability-adjusted life year, obtained from the Global Burden of Disease Study 2019, we calculated four secondary measures. Principal component analysis was performed to calculate QoC index (QCI), scored on a scale of 0-100 with higher values indicating better QoC, for different locations, age groups, and genders from 1990 to 2019. The all-ages incidence rate of endocarditis was estimated to increase significantly from 1990 to 2019, while mortality rate did not change. The age-standardized QCI was 73.6% globally, with higher values in high-income countries than in low-income countries. High-income North America (82.0%) and Asia Pacific (81.1%) had the highest QCI, whereas Eastern Europe (43.3%) had the lowest. Globally, the 30-49 and 95+ age groups had the highest (91.3%) and the lowest (71.7%) QCI, respectively. In most countries, particularly those with lower socio-demographic index, women had better QCI., Conclusion: This is the first global assessment of QCI, shedding light on the current trends and highlighting the necessity of improving the endocarditis QoC, mainly by timely case detection, adherence to antibiotic prophylaxis guidelines, utilizing targeted antibiotics and advanced treatments, in the African region and resolving gender inequality in selected countries., (Published on behalf of the European Society of Cardiology. All rights reserved. © The Author(s) 2021. For permissions, please email: journals.permissions@oup.com.)
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- 2022
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24. Circulating brain-derived neurotrophic factor as a potential biomarker in stroke: a systematic review and meta-analysis.
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Mojtabavi H, Shaka Z, Momtazmanesh S, Ajdari A, and Rezaei N
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- Biomarkers, Databases, Factual, Exercise physiology, Humans, Brain-Derived Neurotrophic Factor, Stroke
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Background: Stroke, an acute cerebrovascular event, is a leading cause of disability, placing a significant psycho-socioeconomic burden worldwide. The adaptation and reorganization process following any neuronal damage is regarded as neuroplasticity. Among many factors believed to attribute to this process, Brain-derived Neurotrophic Factor (BDNF) is a neurotrophin coordinating neuroplasticity after various neurological disorders such as stroke., Methods: We conducted a systematic search in the main electronic medical databases in January 2021. Primarily we want to compare BDNF levels between patients with stroke and healthy controls (HC). Additional aims included investigation of (1) longitudinal changes in the BDNF levels post-stroke, (2) effects of physical training, (3) repeated transcranial magnetic stimulation (rTMS), and presence of depression on BDNF levels in patients with stroke., Results: Among 6243 reviewed records from PubMed, Web of Science, and Scopus, 62 studies were eligible for inclusion in our systematic review. Subjects with stroke, n = 1856, showed lower BDNF levels compared to HC, n = 1191 (SMD [95%CI] = - 1.04 [- 1.49 to - 0.58]). No significant difference was detected in the level of BDNF through time points past stroke. BDNF levels were lower in the patients with depression compared to non-depressed subjects (SMD [95%CI] = - 0.60 [- 1.10 to - 0.10]). Physical training had an immediate positive effect on the BDNF levels and not statistically significant effect in the long term; SMD [95%CI] = 0.49 [0.09 to 0.88]) and SMD [95%CI] = 0.02 [- 0.43 to 0.47]). Lastly, rTMS showed no effect on the level of BDNF with 0.00 SMD., Conclusions: Our study confirms that stroke significantly decreases the level of BDNF in various domains such as cognition, affect, and motor function. As BDNF is the major representative of neuroplasticity within nervous system, it is believed that stroke has a significant impact on the CNS regeneration, which is permanent if left untreated. This effect is intensified with coexisting conditions such as depression which further decrease the BDNF level but the net impact yet needs to be discovered. We also conclude that exercise and some interventions such as different medications could effectively reverse the damage but further studies are crucial to reach the exact modality and dosage for their optimal effect., (© 2022. The Author(s).)
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- 2022
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25. Exercise-induced increase in blood-based brain-derived neurotrophic factor (BDNF) in people with multiple sclerosis: A systematic review and meta-analysis of exercise intervention trials.
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Shobeiri P, Karimi A, Momtazmanesh S, Teixeira AL, Teunissen CE, van Wegen EEH, Hirsch MA, Yekaninejad MS, and Rezaei N
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- Adult, Exercise, Exercise Therapy, Humans, Brain-Derived Neurotrophic Factor, Multiple Sclerosis therapy
- Abstract
Background: Exercise training may affect the blood levels of brain-derived neurotrophic factor (BDNF), but meta-analyses have not yet been performed comparing pre- and post-intervention BDNF concentrations in patients with multiple sclerosis (PwMS)., Objective: To perform a meta-analysis to study the influence of exercise on BDNF levels and define components that modulate them across clinical trials of exercise training in adults living with multiple sclerosis (MS)., Method: Five databases (PubMed, EMBASE, Cochrane Library, PEDro database, CINAHL) were searched up to June 2021. According to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses, we included 13 articles in the meta-analysis, including 271 subjects. To investigate sources of heterogeneity, subgroup analysis, meta-regression, and sensitivity analysis were conducted. We performed the meta-analysis to compare pre- and post-exercise peripheral levels of BDNF in PwMS., Results: Post-exercise concentrations of serum BDNF were significantly higher than pre-intervention levels (Standardized Mean Difference (SMD): 0.33, 95% CI: [0.04; 0.61], p-value = 0.02). Meta-regression indicated that the quality of the included studies based on the PEDro assessment tool might be a source of heterogeneity, while no significant effect was found for chronological age and disease severity according to the expanded disability status scale., Conclusion: This systematic review and meta-analysis shows that physical activity increases peripheral levels of BDNF in PwMS. More research on the effect of different modes of exercise on BDNF levels in PwMS is warranted., Competing Interests: The authors have no competing interests to declare.
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- 2022
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26. Novel Variants of DOCK8 Deficiency in a Case Series of Iranian Patients.
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Momtazmanesh S, Rayzan E, Zoghi S, Shahkarami S, Molatefi R, Mohammadzadeh I, Ghaffari J, Mahmoudi H, Dmytrus J, Segarra-Roca A, Somekh I, Witzel M, Hauck F, Boztug K, Klein C, and Rezaei N
- Subjects
- Adolescent, Child, Child, Preschool, Consanguinity, DNA Mutational Analysis, Female, Guanine Nucleotide Exchange Factors deficiency, Humans, Iran, Job Syndrome immunology, Job Syndrome pathology, Male, Mutation, Pedigree, Exome Sequencing, Guanine Nucleotide Exchange Factors genetics, Job Syndrome genetics
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Background: Dedicator of Cytokinesis 8 (DOCK8) deficiency, the most frequent cause of autosomal recessive hyper immunoglobulin (Ig)E syndrome, is a rare combined immunodeficiency., Objective: In this study, we report seven patients, with consanguineous parents, with five novel variants within the DOCK8 gene., Methods: For genetic analysis, we performed Whole Exome Sequencing (WES) or targeted sequencing by means of Next-generation sequencing (NGS) for some of the patients. For others, Sanger sequencing, Fluorescence-activated cell sorting (FACS), or polymerase chain reaction (PCR) were used., Results: We report five novel variants within the DOCK8 gene: three deletions (deletion of exons 4-12, 24-30, and 22-27), one frameshift (LRG_196:g.189315dup;p.(Leu1052Profs*7)), and a splice region variant (LRG_196t1:c.741+5G>T). Patients presented with skin lesions, food allergy, candidiasis, otitis, recurrent respiratory infections, short stature, aortic aneurism, gynecomastia, and coarse facial features. Patients had leukocytosis, eosinophilia, lymphopenia, and monocytosis, elevated IgE, IgG, IgA, reduced IgM and IgA levels. Patients had a low percentage of CD3+ and CD4+ cells and a high percentage of CD19+, CD27+CD19+, and recent thymic emigrants T cells. The percentage of natural killer cells was increased in one of the patients while it was decreased in another patient. One patient died due to disseminated intravascular coagulation after hematopoietic stem cell transplantation., Conclusion: We reported novel variants within the DOCK8 gene and highlighted the risk of aneurysms in these patients, which have been rarely reported in these patients., (Copyright© Bentham Science Publishers; For any queries, please email at epub@benthamscience.net.)
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- 2022
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27. Pentoxifylline for treatment of major depression after percutaneous coronary intervention or coronary artery bypass grafting: A randomized, double-blind, placebo-controlled trial.
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Yasrebi SO, Momtazmanesh S, Moghaddam HS, Shahmansouri N, Mehrpooya M, Arbabi M, Ghazizadeh-Hashemi F, and Akhondzadeh S
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- Coronary Artery Bypass, Depression, Double-Blind Method, Humans, Iran, Treatment Outcome, Depressive Disorder, Major drug therapy, Pentoxifylline therapeutic use, Percutaneous Coronary Intervention
- Abstract
Introduction: Near one-fifth of patients with coronary artery disease (CAD) develop major depressive disorder (MDD), an independent risk factor of mortality in these patients. We investigated the efficacy of oral pentoxifylline in treating MDD in CAD patients undergoing percutaneous coronary intervention (PCI) or coronary artery bypass grafting (CABG) in a 6-week trial., Methods: We only included patients with mild to moderate MDD (having a score between 14 and 17 on the Hamilton depression rating scale (HAM-D)). Sixty-four CAD patients undergoing PCI or CABG aged 40-60 years were randomly assigned to either the pentoxifylline (800 mg daily) or the placebo group. The outcome was assessed with the HAM-D at weeks 2, 4, and 6., Results: Patients receiving pentoxifylline had greater improvement in HAM-D scores from baseline at each follow-up than patients receiving placebo (p-value = 0.036 at week 2, p-value < 0.001 at week 4, and p-value < 0.001 at week 6). We found a significant effect for treatment, time, and time×treatment interaction in depression improvement (p-value < 0.001). Rate of remission, treatment response, and adverse effects did not differ between the two groups., Discussion: Our study supports the safety and efficacy of pentoxifylline in treatment of MDD in CAD patients. However, further investigations are required to confirm the generalizability of our results since the results need to be interpreted cautiously because of the imitated range of disease severity for inclusion. This trial was registered with the Iranian Registry of Clinical Trials (www.irct.ir; No. IRCT20090117001556N132)., (Copyright © 2021 Elsevier Inc. All rights reserved.)
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- 2021
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28. Brain microstructural abnormalities in 22q11.2 deletion syndrome: A systematic review of diffusion tensor imaging studies.
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Momtazmanesh S, Aarabi MH, Sanjari Moghaddam H, Delavari F, Shafie M, Abbasi-Feijani F, Cattarinussi G, and Sambataro F
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- Anisotropy, Brain diagnostic imaging, Child, Diffusion Magnetic Resonance Imaging, Diffusion Tensor Imaging methods, Humans, DiGeorge Syndrome complications, DiGeorge Syndrome diagnostic imaging, White Matter diagnostic imaging
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22q11.2 deletion syndrome (22q11DS) is a severe genetic syndrome characterized by cognitive deficits and neuropsychiatric disorders, particularly schizophrenia. Neuroimaging alterations have been extensively reported in 22q11DS, both in gray and white matter structures. However, a considerable variability among the results affects the generalizability of the findings to date. Herein, we reviewed diffusion tensor imaging (DTI) findings in 22q11DS, their association with psychosis and cognition, and the implications of DTI studies on neurodevelopment in 22q11DS. We also investigated differences between 22q11DS and schizophrenic patients without 22q11DS. Using an online search of PubMed and Embase, we identified studies investigating DTI findings in 22q11DS. After selecting eligible studies in accordance with the preferred reporting items for systematic reviews and meta-analyses guideline, we included thirty-one studies. Overall, 22q11DS patients show altered structural connectivity and disrupted microstructural organization of most cortical and subcortical structures and white matter tracts. Moreover, despite a significant heterogeneity in the results, reduced diffusivity measures and elevated fractional anisotropy were observed. However controversial, compared to typically developing children, 22q11DS patients reached the peak of fractional anisotropy (FA) and the trough of radial diffusivity (RD) at an older age, which shows neurodevelopmental delay. DTI measures were also associated with psychotic symptoms and cognitive deficits. In conclusion, this study provides a comprehensive review of microstructural alterations in 22q11DS. Future larger investigations on this syndrome could potentially lead to the detection of early diagnostic imaging markers for genetically induced schizophrenia, thus improving the treatment and, ultimately, the outcome., Competing Interests: Declaration of Competing Interest None of authors has any financial and personal relationships with other people or organizations to report that could inappropriately influence or bias this work., (Copyright © 2021. Published by Elsevier B.V.)
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- 2021
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29. Exercise-induced electrocardiographic changes after treadmill exercise testing in healthy children: A comprehensive study.
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Malakan Rad E, Karimi M, Momtazmanesh S, Shabanian R, Saatchi M, Asbagh PA, and Zeinaloo AA
- Abstract
Background: Treadmill exercise testing is a crucial diagnostic tool for evaluating congenital and acquired heart disease in the pediatric population. This study aimed to perform a comprehensive evaluation of exercise-induced electrocardiographic (ECG) changes in children. Although there are numerous studies on exercise testing in various cardiac pathologies, studies on exercise-induced ECG changes in normal children with coverage of all ECG parameters of atrial and ventricular depolarization and repolarization are very scant, if any., Aims and Objectives: This study aimed to investigate the exercise-induced ECG changes in healthy children and evaluate the effects of gender and four different formulas of heart rate correction of Bazett, Fridericia, Framingham and Hodges on ventricular repolarization parameters pre-and post-exercise., Materials and Methods: Between April 2019 and April 2020, all children with normal electrocardiogram, echocardiogram and exercise test, high-quality ECG tracings and consent for participation were enrolled in this prospective study. Twenty electrocardiographic parameters were measured and 25 indices were calculated. P -value < 0.05 was considered significant., Results: Seventy-four healthy children were studied. Amplitudes of P, S, and T waves increased significantly after the exercise. All durations, except P wave time to peak and T peak -T end /QT (Tp-e/QT) interval decreased significantly with exercise. Generally, the parameters of ventricular repolarization were not statistically significant between males and females. There were significant differences among the heart-rate corrected values of intervals of QTc, QoTc, JTc, J point to peak T and Tp-e/QTc by various formulas. There was no U wave either at pre-exercise or post-exercise. QT interval was shortened by 24.6 % ± 12.1 % with exercise. The ECG-derived estimated duration of mechanical systole and diastole decreased with exercise. The percentage of decrease in diastole was more than systole (43.79 %± 13.31% versus 33.74% ±15.79 %, respectively, P -value < 0.001)., Conclusion: Diastolic time decreased more than systolic time with exercise and systolic time to diastolic time increased with exercise. Hodges' and Fridericia's formulas resulted in the longest and shortest QT and QoT, JT, and JTP, respectively. Thus, using a single value as the cut-off for long QT syndrome can lead to under or over-diagnosis. Nomograms incorporating data on age, heart rate, and heart rate correction formula are indispensable for accurate long QT diagnosis. Furthermore, gender differences in ventricular repolarization parameters are not generally present in 5 to 14-year-old healthy children. The lack of U wave in this study may implicate the need for more careful investigation in the presence of U wave in the treadmill exercise testing of healthy children., Competing Interests: There are no conflict of interest., (Copyright: © 2022 Annals of Pediatric Cardiology.)
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- 2021
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30. Immune modulations and immunotherapies for Alzheimer's disease: a comprehensive review.
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Mahdiabadi S, Momtazmanesh S, Perry G, and Rezaei N
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- Amyloid beta-Peptides metabolism, Humans, Immunotherapy, Plaque, Amyloid pathology, tau Proteins, Alzheimer Disease metabolism
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Alzheimer's disease (AD), the most common cause of dementia, is characterized by progressive cognitive and memory impairment ensued from neuronal dysfunction and eventual death. Intraneuronal deposition of tau proteins and extracellular senile amyloid-β plaques have ruled as the supreme postulations of AD for a relatively long time, and accordingly, a wide range of therapeutics, especially immunotherapies have been implemented. However, none of them resulted in significant positive cognitive outcomes. Especially, the repetitive failure of anti-amyloid therapies proves the inefficiency of the amyloid cascade hypothesis, suggesting that it is time to reconsider this hypothesis. Thus, for the time being, the focus is being shifted to neuroinflammation as a third core pathology in AD. Neuroinflammation was previously considered a result of the two aforementioned phenomena, but new studies suggest that it might play a causal role in the pathogenesis of AD. Neuroinflammation can act as a double-edged sword in the pathogenesis of AD, and the activation of glial cells is indispensable for mediating such attenuating or detrimental effects. The association of immune-related genes polymorphisms with the clinical phenotype of AD as well as the protective effect of anti-inflammatory drugs like nonsteroidal anti-inflammatory drugs supports the possible causal role of neuroinflammation in AD. Here, we comprehensively review immune-based therapeutic approaches toward AD, including monoclonal antibodies and vaccines. We also discuss their efficacy and underlying reasons for shortcomings. Lastly, we highlight the capacity of modulating the neuroimmune interactions and targeting neuroinflammation as a promising opportunity for finding optimal treatments for AD., (© 2021 Walter de Gruyter GmbH, Berlin/Boston.)
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- 2021
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31. Orthopedic management of myelomeningocele with a multidisciplinary approach: a systematic review of the literature.
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Shobeiri P, Presedo A, Karimi A, Momtazmanesh S, Vosoughi F, and Nabian MH
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- Humans, Meningomyelocele therapy, Orthopedics, Scoliosis
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Background: Myelomeningocele (MMC) is the most common and severe form of spina bifida and imposes a significant burden on patients and the healthcare system. Recently, the multidisciplinary management of MMC has become popular. Herein, we aimed to review the orthopedic management, outcomes, and complications of the of patients with MMC eyeing a multidisciplinary approach., Methods: We searched PubMed and EMBASE to find relevant studies published before August 2020. All studies that included clinical management of MMC patients and published earlier than 2000 were considered for review on the condition that they reported at least one orthopedic intervention and the rate of complications. We excluded review articles, case reports, case series, letters, commentaries, editorials, and conference abstracts. The primary and secondary goals of our review were to report the outcomes and complication rates of multidisciplinary management for MMC patients., Results: Twenty-six studies included data for the management of 229,791 patients with MMC and were selected. Sixteen studies reported multidisciplinary management in addition to orthopedic management. From those, 11 (42.31%) included urologic management, 13 (50%) neurosurgical management, 11 (42.31%) neurologic management, and 5 (19.23%) gastrointestinal management. All studies included postnatal operations and related management. No randomized clinical trial was found in our search., Conclusion: Orthopedic approaches play a key role in MMC management by alleviating spinal deformities, particularly scoliosis, and hip, foot, and ankle complications. However, the most appropriate management, whether surgical or non-surgical, may vary for different patients, given disease severity and the age of patients., (© 2021. The Author(s).)
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- 2021
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32. Long Non-Coding RNAs in Diagnosis, Treatment, Prognosis, and Progression of Glioma: A State-of-the-Art Review.
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Momtazmanesh S and Rezaei N
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Glioma is the most common malignant central nervous system tumor with significant mortality and morbidity. Despite considerable advances, the exact molecular pathways involved in tumor progression are not fully elucidated, and patients commonly face a poor prognosis. Long non-coding RNAs (lncRNAs) have recently drawn extra attention for their potential roles in different types of cancer as well as non-malignant diseases. More than 200 lncRNAs have been reported to be associated with glioma. We aimed to assess the roles of the most investigated lncRNAs in different stages of tumor progression and the mediating molecular pathways in addition to their clinical applications. lncRNAs are involved in different stages of tumor formation, invasion, and progression, including regulating the cell cycle, apoptosis, autophagy, epithelial-to-mesenchymal transition, tumor stemness, angiogenesis, the integrity of the blood-tumor-brain barrier, tumor metabolism, and immunological responses. The well-known oncogenic lncRNAs, which are upregulated in glioma, are H19 , HOTAIR , PVT1 , UCA1 , XIST , CRNDE , FOXD2-AS1 , ANRIL , HOXA11-AS , TP73-AS1 , and DANCR . On the other hand, MEG3 , GAS5 , CCASC2 , and TUSC7 are tumor suppressor lncRNAs, which are downregulated. While most studies reported oncogenic effects for MALAT1 , TUG1 , and NEAT1 , there are some controversies regarding these lncRNAs. Expression levels of lncRNAs can be associated with tumor grade, survival, treatment response (chemotherapy drugs or radiotherapy), and overall prognosis. Moreover, circulatory levels of lncRNAs, such as MALAT1, H19, HOTAIR, NEAT1, TUG1, GAS5, LINK-A , and TUSC7 , can provide non-invasive diagnostic and prognostic tools. Modulation of expression of lncRNAs using antisense oligonucleotides can lead to novel therapeutics. Notably, a profound understanding of the underlying molecular pathways involved in the function of lncRNAs is required to develop novel therapeutic targets. More investigations with large sample sizes and increased focus on in-vivo models are required to expand our understanding of the potential roles and application of lncRNAs in glioma., Competing Interests: The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest., (Copyright © 2021 Momtazmanesh and Rezaei.)
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- 2021
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33. Neuronal and glial CSF biomarkers in multiple sclerosis: a systematic review and meta-analysis.
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Momtazmanesh S, Shobeiri P, Saghazadeh A, Teunissen CE, Burman J, Szalardy L, Klivenyi P, Bartos A, Fernandes A, and Rezaei N
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- Biomarkers, Humans, Neuroglia, Multiple Sclerosis, Multiple Sclerosis, Chronic Progressive, Neurodegenerative Diseases
- Abstract
Multiple sclerosis (MS) is a neurodegenerative disease associated with inflammatory demyelination and astroglial activation, with neuronal and axonal damage as the leading factors of disability. We aimed to perform a meta-analysis to determine changes in CSF levels of neuronal and glial biomarkers, including neurofilament light chain (NFL), total tau (t-tau), chitinase-3-like protein 1 (CHI3L1), glial fibrillary acidic protein (GFAP), and S100B in various groups of MS (MS versus controls, clinically isolated syndrome (CIS) versus controls, CIS versus MS, relapsing-remitting MS (RRMS) versus progressive MS (PMS), and MS in relapse versus remission. According to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses, we included 64 articles in the meta-analysis, including 4071 subjects. For investigation of sources of heterogeneity, subgroup analysis, meta-regression, and sensitivity analysis were conducted. Meta-analyses were performed for comparisons including at least three individual datasets. NFL, GFAP, t-tau, CHI3L1, and S100B were higher in MS and NFL, t-tau, and CHI3L1 were also elevated in CIS patients than controls. CHI3L1 was the only marker with higher levels in MS than CIS. GFAP levels were higher in PMS versus RRMS, and NFL, t-tau, and CHI3L1 did not differ between different subtypes. Only levels of NFL were higher in patients in relapse than remission. Meta-regression showed influence of sex and disease severity on NFL and t-tau levels, respectively and disease duration on both. Added to the role of these biomarkers in determining prognosis and treatment response, to conclude, they may serve in diagnosis of MS and distinguishing different subtypes., (© 2021 Walter de Gruyter GmbH, Berlin/Boston.)
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- 2021
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34. Socialization During the COVID-19 Pandemic: The Role of Social and Scientific Networks During Social Distancing.
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Momtazmanesh S, Samieefar N, Uddin LQ, Ulrichs T, Kelishadi R, Roudenok V, Karakoc-Aydiner E, Salunke DB, Nouwen JL, Becerra JCA, Vieira DN, Goudouris E, Jamee M, Khafaie MA, Shamsizadeh M, Golabchi MR, Samimiat A, Doostkamel D, Afshar A, Tabari MAK, Lotfi M, Boroujeni RY, Rambod N, Stashchak A, Volokha A, Pavalkis D, Pereira A, Latiff AHA, Baylarov R, Amirheidari B, Ch MH, Condino-Neto A, and Rezaei N
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- Humans, Pandemics, Physical Distancing, SARS-CoV-2, Socialization, COVID-19, Social Media
- Abstract
In the COVID-19 era, while we are encouraged to be physically far away from each other, social and scientific networking is needed more than ever. The dire consequences of social distancing can be diminished by social networking. Social media, a quintessential component of social networking, facilitates the dissemination of reliable information and fighting against misinformation by health authorities. Distance learning, telemedicine, and telehealth are among the most prominent applications of networking during this pandemic. Additionally, the COVID-19 pandemic highlights the importance of collaborative scientific efforts. In this chapter, we summarize the advantages of harnessing both social and scientific networking in minimizing the harms of this pandemic. We also discuss the extra collaborative measures we can take in our fight against COVID-19, particularly in the scientific field.
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- 2021
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35. Introduction on Coronavirus Disease (COVID-19) Pandemic: The Global Challenge.
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Rezaei N, Ashkevarian S, Fathi MK, Hanaei S, Kolahchi Z, Ladi Seyedian SS, Rayzan E, Sarzaeim M, Vahed A, Mohamed K, Momtazmanesh S, Moradian N, Pirkoohi ZR, Sameeifar N, Yousefpour M, Sargoli S, Adiban S, Vahed A, Yazdanpanah N, Ziaei H, and Saghazadeh A
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- Humans, Pandemics, SARS-CoV-2, COVID-19, Medicine, Middle East Respiratory Syndrome Coronavirus
- Abstract
By driving the ongoing pandemic of coronavirus disease 2019 (COVID-19), coronaviruses have become a significant change in twenty-first-century medicine, healthcare systems, education, and the global economy. This chapter rapidly reviews the origin, immunopathogenesis, epidemiology, diagnosis, clinical manifestations, and potential therapeutics of COVID-19. It would also explore the effects of the introduction of a single virus, the so-called severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), on the public health preparedness planning.
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- 2021
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36. International Scientific Collaboration Is Needed to Bridge Science to Society: USERN2020 Consensus Statement.
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Momtazmanesh S, Saghazadeh A, Becerra JCA, Aramesh K, Barba FJ, Bella F, Blakney A, Capaccioli M, Castagna R, Crisanti U, Davtyan T, Dorigo T, Ealy J, Farokhnia M, Grancini G, Gupta M, Harbi A, Krysztofiak W, Kulasinghe A, Lam CM, Leemans A, Lighthill B, Limongelli V, Lopreiato P, Luongo L, Maboloc CR, Malekzadeh R, Gomes OC, Milosevic M, Nouwen J, Ortega-Sánchez D, Pawelek J, Pramanik S, Ramakrishna S, Renn O, Sanseviero S, Sauter D, Schreiber M, Sellke FW, Shahbazi MA, Shelkovaya N, Slater WH, Snoeck D, Sztajer S, Uddin LQ, Veramendi-Espinoza L, Vinuesa R, Willett WC, Wu D, Żyniewicz K, and Rezaei N
- Abstract
Scientific collaboration has been a critical aspect of the development of all fields of science, particularly clinical medicine. It is well understood that myriads of benefits can be yielded by interdisciplinary and international collaboration. For instance, our rapidly growing knowledge on COVID-19 and vaccine development could not be attained without expanded collaborative activities. However, achieving fruitful results requires mastering specific tactics in collaborative efforts. These activities can enhance our knowledge, which ultimately benefits society. In addition to tackling the issue of the invisible border between different countries, institutes, and disciplines, the border between the scientific community and society needs to be addressed as well. International and transdisciplinary approaches can potentially be the best solution for bridging science and society. The Universal Scientific Education and Research Network (USERN) is a non-governmental, non-profit organization and network to promote professional, scientific research and education worldwide. The fifth annual congress of USERN was held in Tehran, Iran, in a hybrid manner on November 7-10, 2020, with key aims of bridging science to society and facilitating borderless science. Among speakers of the congress, a group of top scientists unanimously agreed on The USERN 2020 consensus, which is drafted with the goal of connecting society with scientific scholars and facilitating international and interdisciplinary scientific activities in all fields, including clinical medicine., Competing Interests: Conflict of InterestThe authors declare no competing interests., (© The Author(s), under exclusive licence to Springer Nature Switzerland AG 2021.)
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- 2021
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37. DiGeorge syndrome and anomalous right aortic arch with arch-on-arch and figure-of-eight configurations: Aortic sac maldevelopment and left brachiocephalic artery abnormal remodeling.
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Malakan Rad E and Momtazmanesh S
- Abstract
We report a 6-month-old female infant with deletion of chromosome 22q11.2 (DiGeorge/VFS TUPLE 1), normal atrial arrangement with concordant atrioventricular connection, pulmonary atresia, large subaortic ventricular septal defect, diminutive native pulmonary arteries, a characteristic weird-shape right aortic arch with arch-on-arch appearance and figure of 8 configuration. We presented the cardiac computed tomographic angiographic and cardiac angiographic features. Using Autodesk 3ds Max 2018 software, we explained and illustrated the speculative embryologic etiology of this bizarre aortic archanomaly with the extensive abnormal remodeling of the left brachiocephalic artery, based on a "five-embryonic aortic arches" concept. As to the best of the authors' knowledge, this is the first report of a genetically confirmed case of DiGeorge syndrome and an exceedingly rare type of right aortic arch anomaly with embryologic explanation according to the "five-embryonic-aortic-arches" concept. It seems that the constellation of pulmonary atresia, bizarreshaped right aortic arch due to abnormal development of the aortic sac, and abnormal remodeling of the left brachiocephalic artery may be strongly suggestive of DiGeorge syndrome., Competing Interests: There are no conflicts of interest., (Copyright: © 2020 Annals of Pediatric Cardiology.)
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- 2021
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38. Toll-like receptors in Alzheimer's disease.
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Momtazmanesh S, Perry G, and Rezaei N
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- Animals, Humans, Polymorphism, Single Nucleotide, Alzheimer Disease, Toll-Like Receptors
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Neuroinflammation and microglial dysfunction are key contributors to the development of Alzheimer's disease (AD). Toll-like receptors (TLRs) are transmembrane proteins primarily involved in immune responses and expressed by several immune and non-immune cells within the central nervous system. Signaling of TLRs affects the core of AD changes, including synaptic plasticity, microglial activity, tau phosphorylation, and inflammatory responses. We reviewed the activity, expression, potential applications, and genetic polymorphisms of TLRs in AD. Activation of TLRs has shown both destructive and protective effects. Several genetic polymorphisms of TLRs have been also recognized as protective or risk factors for AD. We concluded that TLRs are one of the major components of AD pathogenesis, particularly in the early stages of the disease, which can provide novel therapeutic options., Competing Interests: Declaration of competing interest The authors declare that they have no competing interests., (Copyright © 2020 Elsevier B.V. All rights reserved.)
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- 2020
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39. Cardiovascular disease in COVID-19: a systematic review and meta-analysis of 10,898 patients and proposal of a triage risk stratification tool.
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Momtazmanesh S, Shobeiri P, Hanaei S, Mahmoud-Elsayed H, Dalvi B, and Malakan Rad E
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Background: Coronavirus disease 2019 (COVID-19) pandemic has drastically affected global health. Despite several studies, there is yet a dearth of data regarding the mechanisms of cardiac injury, clinical presentation, risk factors, and treatment of COVID-19-associated cardiovascular disease. This systematic review and meta-analysis is aimed at defining the clinical, electrocardiographic, and pathologic spectrum of cardiovascular disease (CVD), frequency of elevated cardiac and inflammatory biomarkers, and their frequency and relationship with severity of the disease and mortality in COVID-19 patients and to develop a triage risk stratification tool (TRST) that can serve as a guide for the timely recognition of the high-risk patients and mechanism-targeted therapy. We conducted an online search in databases of PubMed and Embase to identify relevant studies. Data selection was in concordance with PRISMA guidelines. Results were presented as pooled frequencies, odds ratio, standardized mean difference (SMD), and forest and funnel plots., Results: We gathered a total of 54 studies and included 35 of them in our meta-analysis. Acute cardiac injury occurred in more than 25% of cases, mortality was 20 times higher, and admission to intensive care unit increased by 13.5 times. Hypertension was the most common pre-existing comorbidity with a frequency of 29.2%, followed by diabetes mellitus (13.5%). The deceased group of patients had higher cardiac and inflammatory biomarkers, with statistically significant SMD, compared with survivors. Pediatric patients were predominantly mildly affected. However, less frequently, the presentation was very similar to Kawasaki disease or Kawasaki shock syndrome. This latter presentation hass been called as multisystem inflammatory syndrome in children (MIS-C)., Conclusions: There is a wide spectrum of cardiac involvement in COVID-19 patients, and hence a Triage Risk Stratification Tool can serve as a guide for the timely recognition of the high-risk patients and mechanism-targeted therapy.
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- 2020
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40. Sulforaphane as an adjunctive treatment for irritability in children with autism spectrum disorder: A randomized, double-blind, placebo-controlled clinical trial.
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Momtazmanesh S, Amirimoghaddam-Yazdi Z, Moghaddam HS, Mohammadi MR, and Akhondzadeh S
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- Anti-Inflammatory Agents administration & dosage, Antioxidants administration & dosage, Antipsychotic Agents administration & dosage, Autism Spectrum Disorder immunology, Autism Spectrum Disorder metabolism, Child, Child, Preschool, Double-Blind Method, Drug Therapy, Combination, Female, Humans, Inflammation drug therapy, Isothiocyanates administration & dosage, Male, Oxidative Stress drug effects, Risperidone administration & dosage, Sulfoxides administration & dosage, Treatment Outcome, Anti-Inflammatory Agents pharmacology, Antioxidants pharmacology, Antipsychotic Agents pharmacology, Autism Spectrum Disorder drug therapy, Autism Spectrum Disorder physiopathology, Irritable Mood drug effects, Isothiocyanates pharmacology, Risperidone pharmacology, Sulfoxides pharmacology
- Abstract
Aim: Irritability related to autism spectrum disorder (ASD) complicates the management of ASD patients at home and in clinical settings. In this randomized, double-blind, placebo-controlled clinical trial, we aimed to investigate the beneficial effects of adjuvant treatment with risperidone and sulforaphane in alleviating the irritability of children with ASD., Methods: Sixty drug-free patients aged 4-12 years were randomly assigned to one of two groups receiving risperidone plus sulforaphane or placebo. Risperidone was started with a daily dose of 0.25 mg in patients weighing <20 kg and 0.5 mg in those weighing ≥20 kg and increased stepwise to reach a maximum of 1 mg (<20 kg), 2.5 mg (20-45 kg), and 3.5 mg (>45 kg). Sulforaphane was administered at a daily dose of 50 μmol (≤45 kg) or 100 μmol (>45 kg). The participants were assessed with the Aberrant Behavior Checklist - Community Edition at baseline and at Weeks 5 and 10., Results: Compared to the placebo group, ASD patients in the sulforaphane group showed greater improvements in Irritability score (primary outcome measure; P = 0.001) and Hyperactivity/Noncompliance score (secondary outcome measure; P = 0.015), and significant Time × Treatment effect for Irritability (P = 0.007) and Hyperactivity/Noncompliance (P = 0.008). However, no difference was seen in improvements in the other secondary measures: Lethargy/Social Interaction score, Stereotypic Behavior score, Inappropriate Speech score, and frequency of adverse events., Conclusion: Our results support the safety and efficacy of sulforaphane as an adjuvant to risperidone for improvement of irritability and hyperactivity symptoms in children with ASD., (© 2020 The Authors Psychiatry and Clinical Neurosciences © 2020 Japanese Society of Psychiatry and Neurology.)
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- 2020
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41. A novel VPS13B mutation in Cohen syndrome: a case report and review of literature.
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Momtazmanesh S, Rayzan E, Shahkarami S, Rohlfs M, Klein C, and Rezaei N
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- Child, Preschool, Developmental Disabilities genetics, Female, Humans, Phenotype, Fingers abnormalities, Intellectual Disability genetics, Microcephaly genetics, Muscle Hypotonia genetics, Mutation genetics, Myopia genetics, Obesity genetics, Retinal Degeneration genetics, Vesicular Transport Proteins genetics
- Abstract
Background: Cohen syndrome, an autosomal recessive syndrome, is a rare syndrome with diverse clinical manifestations including failure to thrive, hypotonia, hypermobile joints, microcephaly, intellectual disabilities, craniofacial and limb anomalies, neutropenia and a friendly character. It is associated with mutations of the vacuolar protein sorting 13 homolog B (VPS13B) gene, which is involved in the development of the ocular, hematological and central nervous systems. This gene encodes a transmembrane protein playing a crucial role in preserving the integrity of the Golgi complex. To date, more than 150 mutations of VPS13B have been reported in over 200 Cohen syndrome patients. Missense or nonsense mutations are the most common mutations., Case Presentation: A 4-year-old girl, born to consanguineous parents, was referred to the pediatric clinical immunology outpatient clinic for investigation of recurrent neutropenia with a history of recurrent infections in the past year. On physical examination, she had the characteristic facial features of Cohen syndrome, developmental delay and speech disorder. She had a cheerful disposition, and her mother gave a history of feeding difficulties in her first months of life. She did not present any ophthalmologic or cardiac abnormalities. Her lab results revealed moderate neutropenia. Serum IgG, IgM, IgA and IgE levels were normal. She fulfilled the clinical diagnostic criteria for Cohen syndrome. WES revealed a novel homozygous frameshift variant in VPS13B (LRG_351t1: c.7095del; p.Ser2366AlafsTer49). Currently, she is not experiencing any severe problem, and she undergoes irregular medical treatment once her neutrophil count decreases under the normal limit. Her verbal and motor abilities have improved as a result of speech and occupational therapies., Conclusion: We reported a novel homozygous frameshift variant in VPS13B (LRG_351t1: c.7095del; p.Ser2366AlafsTer49) in a 4-year-old girl with Cohen syndrome. Cohen syndrome should be considered in differential diagnosis of any child with intellectual disability and neutropenia.
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- 2020
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42. All together to Fight COVID-19.
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Momtazmanesh S, Ochs HD, Uddin LQ, Perc M, Routes JM, Vieira DN, Al-Herz W, Baris S, Prando C, Rosivall L, Abdul Latiff AH, Ulrichs T, Roudenok V, Aldave Becerra JC, Salunke DB, Goudouris E, Condino-Neto A, Stashchak A, Kryvenko O, Stashchak M, Bondarenko A, and Rezaei N
- Subjects
- Antiviral Agents chemical synthesis, Antiviral Agents therapeutic use, Asia epidemiology, Betacoronavirus drug effects, COVID-19, COVID-19 Testing, COVID-19 Vaccines, Clinical Laboratory Techniques standards, Clinical Laboratory Techniques statistics & numerical data, Coronavirus Infections diagnosis, Coronavirus Infections drug therapy, Coronavirus Infections prevention & control, Europe epidemiology, Humans, Middle East epidemiology, Pneumonia, Viral diagnosis, Pneumonia, Viral drug therapy, Pneumonia, Viral prevention & control, SARS-CoV-2, Viral Vaccines biosynthesis, Viral Vaccines therapeutic use, Betacoronavirus pathogenicity, Civil Defense organization & administration, Coronavirus Infections epidemiology, International Cooperation legislation & jurisprudence, Pandemics prevention & control, Pneumonia, Viral epidemiology
- Abstract
Novel coronavirus disease (COVID-19), named a pandemic by the WHO, is the current global health crisis. National and international collaboration are indispensable for combating COVID-19 and other similar potential outbreaks. International efforts to tackle this complex problem have led to remarkable scientific advances. Yet, as a global society, we can and must take additional measures to fight this pandemic. Undoubtedly, our approach toward COVID-19 was not perfect, and testing has not been deployed fast enough to arrest the epidemic early on. It is critical that we revise our approaches to be more prepared for pandemics as a united body by promoting global cooperation and commitment.
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- 2020
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43. Cytokine Alterations in Schizophrenia: An Updated Review.
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Momtazmanesh S, Zare-Shahabadi A, and Rezaei N
- Abstract
Schizophrenia, a multisystem disorder with an unknown etiology, is associated with several immune dysfunctions, including abnormal levels of circulating cytokines. In this review, we investigated the changes of cytokines in schizophrenic patients, their connection with behavioral symptoms severity and their potential clinical implications. We also assessed the possible causative role of abnormal cytokine levels in schizophrenia pathogenesis. Based on meta-analyses, we categorized cytokines according to their changes in schizophrenic patients into four groups: (1) increased cytokines, including interleukin (IL)-6, tumor necrosis factor (TNF)-α, IL-1β, IL-12, and transforming growth factor (TGF)-β, (2) non-altered cytokines, including IL-2, IL-4, and IL-17, (3) increased or non-altered cytokines, including IL-8 and interferon (IFN)-γ, and (4) IL-10 with increased, decreased, and non-altered levels. Notably, alterations in cytokines may be variable in four different categories of SP, including first-episode and drug-naïve, first-episode and non-drug-naïve, stable chronic, and chronic in acute relapse. Furthermore, disease duration, symptoms severity, incidence of aggression, and cognitive abilities are correlated with levels of certain cytokines. Clinical implications of investigating the levels of cytokine in schizophrenic patients include early diagnosis, novel therapeutic targets development, patient stratification for choosing the best therapeutic protocol, and predicting the prognosis and treatment response. The levels of IL-6, IL-8, IFN-γ, IL-2 are related to the treatment response. The available evidence shows a potential causative role for cytokines in schizophrenia development. There is a substantial need for studies investigating the levels of cytokines before disease development and delineating the therapeutic implications of the disrupted cytokine levels in schizophrenia., (Copyright © 2019 Momtazmanesh, Zare-Shahabadi and Rezaei.)
- Published
- 2019
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