1,880 results on '"Rezaeian A"'
Search Results
2. Knee joint repositioning error in different trunk positions among females with chronic nonspecific low back pain: A cross-sectional study
- Author
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Parisa Ranjbar, Sanaz Davarian, Mostafa Mohammadi, Nastaran Ghotbi, and Tahere Rezaeian
- Subjects
Complementary and Manual Therapy ,Complementary and alternative medicine ,Rehabilitation ,Physical Therapy, Sports Therapy and Rehabilitation - Published
- 2023
3. Investigation the effects of vitreous humor on proliferation and dedifferentiation of differentiated NTERA2 cells
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M. M. Matin, Z. Rezaeian, S. S. Hosseiny, and A. R. Bahrami
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QH301-705.5 ,proliferation ,Science ,Retinoic acid ,Tretinoin ,desdiferenciação ,Natural regeneration ,Biology ,Cell Line ,chemistry.chemical_compound ,Antigen ,Tumor Cells, Cultured ,Pi ,Humans ,Biology (General) ,Gene ,S phase ,Cell Proliferation ,Vitamin C ,humor vítreo ,dedifferentiation ,Botany ,Cell Differentiation ,Cell Dedifferentiation ,vitreous humor ,Cell biology ,Vitreous Body ,QL1-991 ,chemistry ,QK1-989 ,proliferação ,NTERA2 ,General Agricultural and Biological Sciences ,Zoology ,Reprogramming ,Cell Division - Abstract
Mammals have a limited capacity to regenerate their tissues and organs. One of the mechanisms associated with natural regeneration is dedifferentiation. Several small molecules such as vitamin C and growth factors could improve reprogramming efficiency. In this study, the NTERA2-D1 (NT2) cells were induced towards differentiation (NT2-RA) with 10-5 M retinoic acid (RA) for three days and then subjected to various amounts of vitreous humor (VH). Results show that the growth rate of these cells was reduced, while this rate was partly restored upon treatment with VH (NT2-RA-VH). Cell cycle analysis with PI method also showed that the numbers of cells at the S phase of the cell cycle in these cells were increased. The levels of SSEA3 and TRA-1-81 antigens in NT2-RA were dropped but they increased in NT2- RA-VH to a level similar to the NT2 cells. The level of SSEA1 had an opposite pattern. Expression of OCT4 gene dropped after RA treatment, but it was recovered in NT2-RA-VH cells. In conclusion, we suggest VH as a potent mixture for improving the cellular reprogramming leading to dedifferentiation. Resumo Os mamíferos têm uma capacidade limitada de regenerar seus tecidos e órgãos. Um dos mecanismos associados à regeneração natural é a desdiferenciação. Várias moléculas pequenas, como vitamina C e fatores de crescimento, podem melhorar a eficiência da reprogramação. Neste estudo, as células NTERA2-D1 (NT2) foram induzidas à diferenciação (NT2-RA) com ácido retinóico (RA) 10-5 M por três dias e depois submetidas a várias quantidades de humor vítreo (VH). Os resultados mostram que a taxa de crescimento dessas células foi reduzida, enquanto essa taxa foi parcialmente restaurada após o tratamento com VH (NT2-RA-VH). A análise do ciclo celular com o método PI também mostrou que o número de células na fase S do ciclo celular nessas células estava aumentado. Os níveis de antígenos SSEA3 e TRA-1-81 em NT2-RA diminuíram, mas aumentaram em NT2-RA-VH a um nível semelhante ao das células NT2. O nível de SSEA1 teve um padrão oposto. A expressão do gene OCT4 diminuiu após o tratamento com AR, mas foi recuperado em células NT2-RA-VH. Em conclusão, sugerimos o VH como uma mistura potente para melhorar a reprogramação celular levando à desdiferenciação.
- Published
- 2024
4. 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. S., Okati-Aliabad, H., Olagunju, A. T., Olagunju, T. O., Ong, S., Ostroff, S. M., Padron-Monedero, A., Pakzad, R., Pana, A., Pandey, A., Pashazadeh Kan, F., Patel, U. K., Paudel, U., Pereira, R. B., Perumalsamy, N., Pestell, R. G., Piracha, Z. Z., Pollok, R. C. G., Pourshams, A., Pourtaheri, N., Prashant, A., Rabiee, M., Rabiee, N., Radfar, A., Rafiei, S., Rahman, M., Rahmani, A. M., Rahmanian, V., Rajai, N., Rajesh, A., Ramezani-Doroh, V., Ramezanzadeh, K., Ranabhat, K., Rashedi, S., Rashidi, A., Rashidi, M., Rashidi, M. -M., Rastegar, M., Rawaf, D. L., Rawaf, S., Rawassizadeh, R., Razeghinia, M. S., Renzaho, A. M. N., Rezaei, N., Rezaei, S., Rezaeian, M., Rezazadeh-Khadem, S., Roshandel, G., Saber-Ayad, M. 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., Samy, A. M., Sanabria, J., Santric-Milicevic, M. M., Saqib, M. A. N., Sarveazad, A., Sathian, B., Satpathy, M., Schneider, I. J. C., Sekerija, M., Sepanlou, S. G., Seylani, A., Sha, F., Shafiee, S. M., Shaghaghi, Z., Shahabi, S., Shaker, E., Sharifian, M., Sharifi-Rad, J., Sheikhbahaei, S., Shetty, J. K., Shirkoohi, R., Shobeiri, P., Siddappa Malleshappa, S. K., Silva, D. A. S., Silva Julian, G., Singh, A. D., Singh, J. A., Siraj, M. S., Sivandzadeh, G. R., Skryabin, V. Y., Skryabina, A. A., Socea, B., Solmi, M., Soltani-Zangbar, M. S., Song, S., Szerencses, V., Szocska, M., Tabares-Seisdedos, R., Tabibian, E., Taheri, M., Taheriabkenar, Y., Taherkhani, A., Talaat, I. M., Tan, K. -K., Tbakhi, A., Tesfaye, B., Tiyuri, A., Tollosa, D. N., Touvier, M., Tran, B. X., Tusa, B. S., Ullah, I., Ullah, S., Vacante, M., Valadan Tahbaz, S., Veroux, M., Vo, B., Vos, T., Wang, C., Westerman, R., Woldemariam, M., Yahyazadeh Jabbari, S. H., Yang, L., Yazdanpanah, F., Yu, C., Yuce, D., Yunusa, I., Zadnik, V., Zahir, M., Zare, I., Zhang, Z. -J., Zoladl, M., Epidemiologie, RS: NUTRIM - R3 - Respiratory & Age-related Health, and Bill & Melinda Gates Foundation
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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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- 2022
5. Homogenizing optimization, microstructure and tensile properties evolution of CuCrFeNi2Mn0.5 alloy
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Amir Gheysarian, Ahmad Rezaeian, and Mohammad Reza Toroghinejad
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Biomaterials ,Metals and Alloys ,Ceramics and Composites ,Surfaces, Coatings and Films - Published
- 2023
6. Effect of air pollution on disease burden, mortality, and life expectancy in North Africa and the Middle East: a systematic analysis for the Global Burden of Disease Study 2019
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Mohsen Abbasi-Kangevari, Mohammad-Reza Malekpour, Masoud Masinaei, Sahar Saeedi Moghaddam, Seyyed-Hadi Ghamari, Zeinab Abbasi-Kangevari, Negar Rezaei, Nazila Rezaei, Ali H Mokdad, Mohsen Naghavi, Bagher Larijani, Farshad Farzadfar, Christopher J L Murray, Amirali Aali, Sina Abdollahzade, Salam Abdulqadir Abdulrahman, Hiwa Abubaker Ali, Aqeel Ahmad, Rizwan Ahmad, Ali Ahmadi, Mohammad Ahmadian, Haroon Ahmed, Tarik Ahmed Rashid, Marjan Ajami, Hanadi Al Hamad, Fadwa Alhalaiqa Naji Alhalaiqa, Vahid Alipour, Sami Almustanyir, Javad Aminian Dehkordi, Sohrab Amiri, Jalal Arabloo, Judie Arulappan, Zahra Aryan, Seyyed Shamsadin Athari, Sina Azadnajafabad, Nayereh Baghcheghi, Farshad Bahrami Asl, Ovidiu Constantin Baltatu, Azadeh Bashiri, Akshaya Srikanth Bhagavathula, Ali Bijani, Saeid Bitaraf, Michael Brauer, Maria Cheraghi, Saad M A Dahlawi, Abdollah Dargahi, Reza Darvishi Cheshmeh Soltani, Mostafa Dianatinasab, Milad Dodangeh, Ebrahim Eini, Maysaa El Sayed Zaki, Hassan El-Abid, Muhammed Elhadi, Sharareh Eskandarieh, Shahab Falahi, Mohammad Fareed, Ali Fatehizadeh, Mehdi Fazlzadeh, Farhad Ghamari, Reza Ghanbari, Ahmad Ghashghaee, Abdolmajid Gholizadeh, Mohamad Golitaleb, Gholamreza Goudarzi, Mostafa Hadei, Randah R Hamadeh, Samer Hamidi, Ahmed I Hasaballah, Hamidreza Hasani, Soheil Hassanipour, Kamal Hezam, Mohammad Hoseini, Mohammad-Salar Hosseini, Mehdi Hosseinzadeh, Soodabeh Hoveidamanesh, Jalil Jaafari, Hosna Janjani, Sathish Kumar Jayapal, Laleh R Kalankesh, Rohollah Kalhor, Samad Karkhah, Neda Kaydi, Yousef Saleh Khader, Morteza Abdullatif Khafaie, Javad Khanali, Moawiah Mohammad Khatatbeh, Ali Koolivand, Mohammed Kuddus, Faris Hasan Lami, Soleiman Mahjoub, Afshin Maleki, Ahmad Azam Malik, Sahar Masoudi, Ritesh G Menezes, Shabir Ahmad Mir, Ashraf Mohamadkhani, Esmaeil Mohammadi, Mohammad Javad Mohammadi, Mokhtar Mohammadi, Fateme Montazeri, Paula Moraga, Negar Morovatdar, Abbas Norouzian Baghani, Keyvan Pakshir, Hamidreza Pazoki Toroudi, Meghdad Pirsaheb, Ashkan Pourabhari Langroudi, Fakher Rahim, Mehran Rahimi, Shayan Rahmani, Sina Rashedi, Azad Rasul, Elrashdy Moustafa Mohamed Redwan, Mohsen Rezaeian, Saeid Sadeghian, Amirhossein Sahebkar, Mohammad Ali Sahraian, Payman Salamati, Hedayat Salari, Abdallah M Samy, Brijesh Sathian, Kiomars Sharafi, Ali Sheikhy, Parnian Shobeiri, Zahra Shokri Varniab, Seyed Afshin Shorofi, Ensiyeh Taheri, Sahel Valadan Tahbaz, Siavash Vaziri, Mehdi Vosoughi, Kheirollah Yari, Arzu Yigit, Vahit Yigit, Leila Zaki, Iman Zare, Ahmad Zarei, and Zahra Zareshahrabadi
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Health (social science) ,Health Policy ,Public Health, Environmental and Occupational Health ,Medicine (miscellaneous) - Published
- 2023
7. Test program on stiffened column bases subjected to cyclic loading
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Niloufar Behboud, Farzin Zareian, and Alireza Rezaeian
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Geophysics ,Geotechnical Engineering and Engineering Geology - Abstract
This article presents the recorded data from an experimental campaign on stiffened steel column bases. The connection configuration comprises an exposed base plate on which vertical stiffeners are welded to strengthen the assembly. Using stiffened column bases is common in several countries where providing thick steel plates is not practical. However, despite their broad application in existing steel structures, there was rare experimental data collected exclusively on their hysteresis response to seismic excitations. The designed testing program intends to document the connection behavior under cyclic loading. This article describes the data collection process, including specimen geometry, material properties, construction details, test setup, instrumentation, and loading history. The qualitative observations are reported to support the data application, and the recorded data set is deposited publicly for future use (DOI: 10.5281/zenodo.7058873).
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- 2023
8. Investigation of the performance of Superheated Drop Detectors for unfolding fast neutron spectra produced by cosmic rays using an Adaptive Network-based Fuzzy Inference System (ANFIS)
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Sh. Badiei and P. Rezaeian
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- 2023
9. A Comprehensive Review on Educational Epidemiology
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Mohsen Rezaeian
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- 2023
10. Abstract P6-10-18: Developing novel lysyl oxidase (LOX) inhibitors to overcome chemotherapy resistance in triple negative breast cancer
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Metin Cetin, Ozge Saatci, Ozge Akbulut, Chad Beneker, Abdol-Hossein Rezaeian, Mikhail Chernov, Campbell McInnes, and Ozgur Sahin
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Cancer Research ,Oncology - Abstract
Triple negative breast cancer (TNBC) is the most aggressive breast cancer subtype. It accounts for ~15% of all breast cancer patients yet is responsible for 30% of breast cancer deaths. TNBC is treated primarily with conventional chemotherapy; however, resistance to therapy is common, leading to high mortality rates. Importantly, the benefit of current therapeutic strategies used in chemoresistant TNBC, i.e., immunotherapy and antibody-drug conjugates, is confined to only a fraction of patients, and survival benefit is limited. Therefore, there is an urgent need to identify novel and effective treatment strategies to overcome chemoresistance. Recently, we identified hypoxia-induced ECM re-modeler, lysyl oxidase (LOX), a member of LOX family, as a key mediator of chemoresistance in TNBC. However, currently available LOX inhibitors are either non-selective and/or show toxicity. Here, we performed a high-throughput cell-based LOX activity screen (HTS) with more than 5,000 molecules selected from a diversified compound library and identified the bi-thiazole derivatives as novel potent LOX inhibitors. Our structure activity relationship (SAR) analysis resulted in two lead compounds 6403, a relatively LOX-specific inhibitor, and 6415, a more LOX/LOXL2 inhibitor. Both compounds reduced collagen cross-linking (canonical function of LOX) and led to chemosensitization in TNBC cell lines and in chemoresistant TNBC PDX organoids. In addition, 6403 and 6415 reduced the TGF-beta induced fibrosis and inhibited migration capacity of the breast cancer cell lines. Importantly, 6403 showed excellent pharmacokinetic profile and did not lead to any observable toxicity in mice. Notably, 6403 overcame doxorubicin resistance in LOX-expressing 4T1 syngeneic model with no apparent toxicity. Furthermore, our novel LOX and LOX/LOXL2 dual inhibitors show superior inhibition of LOX activity compared to the recently developed and clinically tested LOX family or LOXL2/LOXL3 inhibitors. Overall, we identified novel potent LOX inhibitors with no observable toxicity for further preclinical development and future clinical testing to overcome chemoresistance in TNBC. Citation Format: Metin Cetin, Ozge Saatci, Ozge Akbulut, Chad Beneker, Abdol-Hossein Rezaeian, Mikhail Chernov, Campbell McInnes, Ozgur Sahin. Developing novel lysyl oxidase (LOX) inhibitors to overcome chemotherapy resistance in triple negative breast cancer [abstract]. In: Proceedings of the 2022 San Antonio Breast Cancer Symposium; 2022 Dec 6-10; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2023;83(5 Suppl):Abstract nr P6-10-18.
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- 2023
11. Jugular Foramen versus Hypoglossal Canal in Axial CT scan
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Maryam Mohammadzadeh, Reza Erfanian, Saman Rezaeian, Nasim Batavani, and Behrooz Amirzargar
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General Medicine ,General Biochemistry, Genetics and Molecular Biology - Published
- 2023
12. A Guideline for Writing a Scientific Book
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Mohsen Rezaeian
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- 2023
13. Optimization of an Integrated Reservoir-Production System Using Polynomial Chaos Expansion and Sobol Sensitivity Analysis
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Javad Rezaeian, Saman Jahanbakhshi, Kaveh Shaygan, and Saeid Jamshidi
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Fuel Technology ,Energy Engineering and Power Technology ,Geology - Abstract
SummaryIntegrated reservoir-production modeling is a collaborative multidisciplinary tool that can facilitate optimization of oil and gas production operations during the field development planning stage of exploiting subsurface resources. The critical issue with this technique is the excessive computational burden of the large integrated model with many input variables, which has not been effectively addressed to date. This study aims to reduce the computational costs and runtimes associated with the production integration and optimization process from oil fields. To do so, the reservoir and the surface network models of an Iranian oil field were coupled to create an integrated model for the optimization of field parameters to achieve the highest oil production rate. In the first step of simplification, polynomial chaos expansion (PCE) was used to establish a surrogate model from the integrated system. Next, Sobol sensitivity analysis, which is a variance-based, global, and model-free sensitivity analysis technique, was performed to reduce the number of input variables by identifying the most influential variables. Finally, the optimization was implemented using genetic algorithm (GA) on the PCE surrogate model of the integrated system with the most important variables. The results from the case study showed that the integrated model can be replaced with the PCE surrogate model while the accuracy is maintained. Moreover, performing sensitivity analysis considerably decreased the number of input variables for optimization by revealing their significance. The proposed methodology in this study can substantially improve the computational efficiency of the optimization for the integrated reservoir-production system.
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- 2023
14. Heat treatment effects on fracture resistance of additively manufactured PLA specimens under mode I loading
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Majid R. Ayatollahi, Parham Rezaeian, Amir Nabavi‐Kivi, and Mohammad Reza Khosravani
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Mechanics of Materials ,Mechanical Engineering ,General Materials Science - Published
- 2022
15. Online Customer Behavior: An Analysis of the Effects of Cognitive and Affective Trust
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Javad Rezaeian, Reza Alizadeh Foroutan, and Mahmoud Gholami Sarokolaei
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General Earth and Planetary Sciences ,General Environmental Science - Abstract
Background: Although many scholars have argued that the key factor for success in the e-commerce is the deployment of a trusted and reliable process for the buyer, the meaning of customer trust in e-commerce and the factors affecting it are not still well-known and to be investigated. Understanding how customers build their trust and developing a trust model is beneficial to increase the ability to do so. Objective: The aim of this study was to investigate whether the factors such as cognitive and affective trust can affect customer behavior in online shopping or not. Method: Questionnaire was used to collect data and to check their normality, and the Kolmogorov– Smirnov test was applied. Cronbach’s alpha was employed to test the reliability, and the Structural Equation Model (SEM) was utilized to confirm or reject the hypotheses. Inferential statistical analysis was performed using SmartPLS software. Results: While perceived website quality can affect cognitive trust, variables like security and privacies policy, and shared value of a website can influence affective trust. In addition, there are variables like prior-interaction experience, and perceived reputation of an e-tail which can impact on both cognitive and affective trust. On the other hand, it was shown that both cognitive and affective trust can influence customer satisfaction; a variable which along with internet usage experience, and online shopping experience affect loyalty intention. Conclusion: The empirical results show that cognitive and affective trust are prominent variables in online retailing. They mediate between PWQ, SPP, PIE, PETR, and SV on the one hand and CS on the other hand. In addition, CS influences LI. The same is true for OSE and IE.
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- 2022
16. Suicide numbers during the first 9-15 months of the COVID-19 pandemic compared with pre-existing trends: An interrupted time series analysis in 33 countries
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Jane Pirkis, David Gunnell, Sangsoo Shin, Marcos Del Pozo-Banos, Vikas Arya, Pablo Analuisa Aguilar, Louis Appleby, S. M. Yasir Arafat, Ella Arensman, Jose Luis Ayuso-Mateos, Yatan Pal Singh Balhara, Jason Bantjes, Anna Baran, Chittaranjan Behera, Jose Bertolote, Guilherme Borges, Michael Bray, Petrana Brečić, Eric Caine, Raffaella Calati, Vladimir Carli, Giulio Castelpietra, Lai Fong Chan, Shu-Sen Chang, David Colchester, Maria Coss-Guzmán, David Crompton, Marko Ćurković, Rakhi Dandona, Eva De Jaegere, Diego De Leo, Eberhard A. Deisenhammer, Jeremy Dwyer, Annette Erlangsen, Jeremy S. Faust, Michele Fornaro, Sarah Fortune, Andrew Garrett, Guendalina Gentile, Rebekka Gerstner, Renske Gilissen, Madelyn Gould, Sudhir Kumar Gupta, Keith Hawton, Franziska Holz, Iurii Kamenshchikov, Navneet Kapur, Alexandr Kasal, Murad Khan, Olivia J. Kirtley, Duleeka Knipe, Kairi Kõlves, Sarah C. Kölzer, Hryhorii Krivda, Stuart Leske, Fabio Madeddu, Andrew Marshall, Anjum Memon, Ellenor Mittendorfer-Rutz, Paul Nestadt, Nikolay Neznanov, Thomas Niederkrotenthaler, Emma Nielsen, Merete Nordentoft, Herwig Oberlerchner, Rory C. O'Connor, Rainer Papsdorf, Timo Partonen, Michael R. Phillips, Steve Platt, Gwendolyn Portzky, Georg Psota, Ping Qin, Daniel Radeloff, Andreas Reif, Christine Reif-Leonhard, Mohsen Rezaeian, Nayda Román-Vázquez, Saska Roskar, Vsevolod Rozanov, Grant Sara, Karen Scavacini, Barbara Schneider, Natalia Semenova, Mark Sinyor, Stefano Tambuzzi, Ellen Townsend, Michiko Ueda, Danuta Wasserman, Roger T. Webb, Petr Winkler, Paul S.F. Yip, Gil Zalsman, Riccardo Zoja, Ann John, Matthew J. Spittal, Pirkis, Jane, Gunnell, David, Shin, Sangsoo, Del Pozo-Banos, Marco, Arya, Vika, Aguilar, Pablo Analuisa, Appleby, Loui, Arafat, S M Yasir, Arensman, Ella, Ayuso-Mateos, Jose Lui, Balhara, Yatan Pal Singh, Bantjes, Jason, Baran, Anna, Behera, Chittaranjan, Bertolote, Jose, Borges, Guilherme, Bray, Michael, Brečić, Petrana, Caine, Eric, Calati, Raffaella, Carli, Vladimir, Castelpietra, Giulio, Chan, Lai Fong, Chang, Shu-Sen, Colchester, David, Coss-Guzmán, Maria, Crompton, David, Ćurković, Marko, Dandona, Rakhi, De Jaegere, Eva, De Leo, Diego, Deisenhammer, Eberhard A, Dwyer, Jeremy, Erlangsen, Annette, Faust, Jeremy S, Fornaro, Michele, Fortune, Sarah, Garrett, Andrew, Gentile, Guendalina, Gerstner, Rebekka, Gilissen, Renske, Gould, Madelyn, Gupta, Sudhir Kumar, Hawton, Keith, Holz, Franziska, Kamenshchikov, Iurii, Kapur, Navneet, Kasal, Alexandr, Khan, Murad, Kirtley, Olivia J, Knipe, Duleeka, Kõlves, Kairi, Kölzer, Sarah C, Krivda, Hryhorii, Leske, Stuart, Madeddu, Fabio, Marshall, Andrew, Memon, Anjum, Mittendorfer-Rutz, Ellenor, Nestadt, Paul, Neznanov, Nikolay, Niederkrotenthaler, Thoma, Nielsen, Emma, Nordentoft, Merete, Oberlerchner, Herwig, O'Connor, Rory C, Papsdorf, Rainer, Partonen, Timo, Phillips, Michael R, Platt, Steve, Portzky, Gwendolyn, Psota, Georg, Qin, Ping, Radeloff, Daniel, Reif, Andrea, Reif-Leonhard, Christine, Rezaeian, Mohsen, Román-Vázquez, Nayda, Roskar, Saska, Rozanov, Vsevolod, Sara, Grant, Scavacini, Karen, Schneider, Barbara, Semenova, Natalia, Sinyor, Mark, Tambuzzi, Stefano, Townsend, Ellen, Ueda, Michiko, Wasserman, Danuta, Webb, Roger T, Winkler, Petr, Yip, Paul S F, Zalsman, Gil, Zoja, Riccardo, John, Ann, Spittal, Matthew J, Pirkis, J, Gunnell, D, Shin, S, Del Pozo-Banos, M, Arya, V, Aguilar, P, Appleby, L, Arafat, S, Arensman, E, Ayuso-Mateos, J, Balhara, Y, Bantjes, J, Baran, A, Behera, C, Bertolote, J, Borges, G, Bray, M, Brečić, P, Caine, E, Calati, R, Carli, V, Castelpietra, G, Chan, L, Chang, S, Colchester, D, Coss-Guzmán, M, Crompton, D, Ćurković, M, Dandona, R, De Jaegere, E, De Leo, D, Deisenhammer, E, Dwyer, J, Erlangsen, A, Faust, J, Fornaro, M, Fortune, S, Garrett, A, Gentile, G, Gerstner, R, Gilissen, R, Gould, M, Gupta, S, Hawton, K, Holz, F, Kamenshchikov, I, Kapur, N, Kasal, A, Khan, M, Kirtley, O, Knipe, D, Kõlves, K, Kölzer, S, Krivda, H, Leske, S, Madeddu, F, Marshall, A, Memon, A, Mittendorfer-Rutz, E, Nestadt, P, Neznanov, N, Niederkrotenthaler, T, Nielsen, E, Nordentoft, M, Oberlerchner, H, O'Connor, R, Papsdorf, R, Partonen, T, Phillips, M, Platt, S, Portzky, G, Psota, G, Qin, P, Radeloff, D, Reif, A, Reif-Leonhard, C, Rezaeian, M, Román-Vázquez, N, Roskar, S, Rozanov, V, Sara, G, Scavacini, K, Schneider, B, Semenova, N, Sinyor, M, Tambuzzi, S, Townsend, E, Ueda, M, Wasserman, D, Webb, R, Winkler, P, Yip, P, Zalsman, G, Zoja, R, John, A, and Spittal, M
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Suicide ,Monitoring ,Pandemic ,SASH ,COVID-19 ,Medicine and Health Sciences ,General Medicine - Abstract
Background Predicted increases in suicide were not generally observed in the early months of the COVID-19 pandemic. However, the picture may be changing and patterns might vary across demographic groups. We aimed to provide a timely, granular picture of the pandemic's impact on suicides globally. Methods We identified suicide data from official public-sector sources for countries/areas-within-countries, searching websites and academic literature and contacting data custodians and authors as necessary. We sent our first data request on 22nd June 2021 and stopped collecting data on 31st October 2021. We used interrupted time series (ITS) analyses to model the association between the pandemic's emergence and total suicides and suicides by sex-, age-and sex-by-age in each country/area-within-country. We compared the observed and expected numbers of suicides in the pandemic's first nine and first 10-15 months and used meta-regression to explore sources of variation. Findings We sourced data from 33 countries (24 high-income, six upper-middle-income, three lower-middle-income; 25 with whole-country data, 12 with data for area(s)-within-the-country, four with both). There was no evidence of greater-than-expected numbers of suicides in the majority of countries/areas-within-countries in any analysis; more commonly, there was evidence of lower-than-expected numbers. Certain sex, age and sex-by-age groups stood out as potentially concerning, but these were not consistent across countries/areas-within-countries. In the meta-regression, different patterns were not explained by countries' COVID-19 mortality rate, stringency of public health response, economic support level, or presence of a national suicide prevention strategy. Nor were they explained by countries' income level, although the meta-regression only included data from high-income and upper-middle-income countries, and there were suggestions from the ITS analyses that lower-middle-income countries fared less well. Interpretation Although there are some countries/areas-within-countries where overall suicide numbers and numbers for certain sex- and age-based groups are greater-than-expected, these countries/areas-within-countries are in the minority. Any upward movement in suicide numbers in any place or group is concerning, and we need to remain alert to and respond to changes as the pandemic and its mental health and economic consequences continue. Copyright (C) 2022 The Authors. Published by Elsevier Ltd. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
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- 2022
17. Probabilistic multi‐objective optimization method for interline power flow controller (IPFC) allocation in power systems
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Saeed Rezaeian‐Marjani, Hasan Ebrahimi, and Behrouz Tousi
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Control and Systems Engineering ,Energy Engineering and Power Technology ,Electrical and Electronic Engineering - Published
- 2022
18. A probabilistic approach for optimal operation of wind‐integrated power systems including UPFC
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Saeed Rezaeian‐Marjani, Sajjad Miralizadeh Jalalat, Behrouz Tousi, Sadjad Galvani, and Vahid Talavat
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Renewable Energy, Sustainability and the Environment - Published
- 2022
19. Effect of solution treatment on microstructure and stress rupture properties of precipitation hardened IN718 superalloy fabricated by laser powder-bed fusion process
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A.M. Chizari, A. Kermanpur, E. Foroozmehr, A. Rezaeian, F. Sadeghi, and Ali Rezaei
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Biomaterials ,Metals and Alloys ,Ceramics and Composites ,Surfaces, Coatings and Films - Published
- 2022
20. Stochastic scheduling of energy storage systems in harmonic polluted active distribution networks
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Hasan Ebrahimi, Saeed Rezaeian‐Marjani, Mohammad Farhadi‐Kangarlu, and Sadjad Galvani
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Control and Systems Engineering ,Energy Engineering and Power Technology ,Electrical and Electronic Engineering - Published
- 2022
21. How existential therapy may help people who are suicidal
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Moslem Akbari, Mohsen Rezaeian, Peter J Helm, and Kat Becker
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Psychiatry and Mental health ,Clinical Psychology - Published
- 2022
22. The role of cardiac CT and MRI in the diagnosis and management of primary cardiac lymphoma: A comprehensive review
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Nahid Rezaeian, Yaser Toloueitabar, Leila Hosseini, Mohammad Mehdi Hemmati Komasi, and Sanaz Asadian
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Cardiotoxicity ,medicine.medical_specialty ,Lymphoma ,medicine.diagnostic_test ,business.industry ,Primary Cardiac Lymphoma ,MEDLINE ,Contrast Media ,Magnetic resonance imaging ,Magnetic Resonance Imaging ,Diagnostic modalities ,Fluorodeoxyglucose F18 ,Positron-Emission Tomography ,Biopsy ,cardiovascular system ,medicine ,Humans ,Radiology ,Tomography, X-Ray Computed ,Cardiology and Cardiovascular Medicine ,Cardiac magnetic resonance ,business ,Cardiac Tumors - Abstract
Primary cardiac tumors comprise a distinct category of disorders that result in significant cardiac complications. Primary cardiac lymphomas (PCLs) constitute the second most frequent primary malignancy involving the heart. Without treatment, survival may be limited to just a few months; however, a timely therapeutic schedule may prolong the five-year survival. Accordingly, robust diagnostic modalities are essential to improve prognosis. We herein review the literature available in PubMed, MEDLINE, Cochrane, Google Scholar and Scopus databases. Our review demonstrated that cardiac computed tomography (CT) and magnetic resonance imaging (MRI) employ multiple advanced sequences for tumor characterization with or without a contrast agent. These methods assist not only in differentiating PCLs from other cardiac masses such as cardiac thrombi but also in defining the extent of PCLs and conducting a safe biopsy. Cardiac magnetic resonance (CMR) and CT imaging provide essential knowledge regarding PCLs and cardiotoxicity induced by therapeutic regimens. The application of these robust imaging modalities aids in the early diagnosis of PCLs, accelerates the initiation of the treatment program, and improves patient outcomes significantly. Also presented is our introduction into novel techniques and the feasibility of their use to diagnose and treat cardiac masses, particularly PCLs. It should be mentioned that the paramount role of FDG-PET was not the focus of this paper.
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- 2022
23. Comparing the Efficacy of Amitriptyline and Melatonin on Tinnitus Treatment
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Ahmad Chitsaz, Bahareh Rajol Dezfouli, and Ahmad Rezaeian
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General Earth and Planetary Sciences ,General Environmental Science - Abstract
Background: Tinnitus is described as the perception of sounds occurring in one or both ears or inside the human head without external auditory stimuli. Objectives: This study aimed to compare the efficacy of amitriptyline and melatonin in the treatment of tinnitus. Methods: This study was a randomized double-blind clinical trial of 60 patients referred to the neurology clinics of Kashani and Al-Zahra hospitals in Isfahan, Iran in 2020. Each patient was randomly assigned 1 code. Patients first filled in the tinnitus handicap inventory (THI) and visual analogue scales (VAS) questionnaires and were given either one of the two drugs (melatonin and amitriptyline) for 6 weeks. After collecting the desired information using an independent t test and paired t test in SPSS 26 software and error level of 0.05 the results were analyzed. Results: Thirty patients were in the amitriptyline group and 30 patients were in the melatonin group, of which 25 were men (41.7%) and 35 were women (58.3%) with a minimum age of 18 years and a maximum of 65 years. There was no significant difference between the reduction of tinnitus before and after taking the drugs based on VAS scale in amitriptyline and melatonin groups (P=0.234), however there was a significant difference between the effect of two amitriptyline and melatonin drugs on the reduction of tinnitus based on the THI questionnaire (P=0.018). Conclusion: The rate of tinnitus in patients decreased for 6 weeks with the use of amitriptyline and melatonin, but amitriptyline had a better effect on reducing the complications and pain of tinnitus.
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- 2022
24. Evaluation of Dental Injuries in Iranian Athletes: A Narrative Review
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Leila Ganbari, Nastaran Sajadi Manizani, Raheleh Rezaeian Langroudi, and Homa Naderifar
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Background: Dental injury is an important public health problem that occurs in athletics. This study aimed to determine dental injuries in Iranian athletes. Methods: By searching related keywords in the Scopus, PubMed, Web of Science, Google Scholar, and EMBASE databases, as well as the reference list of the eligible articles, and related published studies in English and Persian by the end of 2020 were included in the study, and the required data were extracted from them. Results: Out of 475 papers initially identified, 10 satisfied the inclusion criteria and were fully evaluated accordingly. Most dental injuries belonged to combat disciplines, and the most common types of injuries were fractures and mobility in the maxillary incisors. Based on these studies, it was found that most reported injuries occurred in men during exercise. Studies have also shown that the lack of using dental protectors is one of the most important causes of injury, and the use of protectors is crucial in preventing dental injuries. Conclusions: It seems that the emphasis on the preventive role of the use of dental protectors in controlling and preventing the occurrence of dental injuries can be decisive in this regard.
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- 2022
25. Dynamic recrystallization behavior of the equiatomic FeCoCrNi high-entropy alloy during high temperature deformation
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Seyyed Ali Sajadi, Mohammad Reza Toroghinejad, Ahmad Rezaeian, and Gholam Reza Ebrahimi
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Biomaterials ,Metals and Alloys ,Ceramics and Composites ,Surfaces, Coatings and Films - Published
- 2022
26. A Systematic Review on the prevalence and Causes of Suicide (Thoughts and Actions) In Iranian School and University Students
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Minoo Miri, Mohsen Rezaeian, and Sayed Alireza Ghasemi
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- 2022
27. 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 Hussen, Kamble, Bhushan Dattatray, Kandel, Himal, Kanno, Girum Gebremeskel, Kapoor, Neeti, Karaye, Ibraheem M, Karimi, Salah Eddin, Kassa, Bekalu Getnet, Kaur, Rimple Jeet, Kayode, Gbenga A, Keykhaei, Mohammad, Khajuria, Himanshu, Khalilov, Rovshan, Khan, Imteyaz A, Khan, Moien AB, Kim, Hanna, Kim, Jihee, Kim, Min Seo, Kimokoti, Ruth W, Kivimäki, Mika, Klymchuk, Vitalii, Knudsen, Ann Kristin Skrindo, Kolahi, Ali-Asghar, Korshunov, Vladimir Andreevich, Koyanagi, Ai, Krishan, Kewal, Krishnamoorthy, Yuvaraj, Kumar, G Anil, Kumar, Narinder, Kumar, Nithin, Lacey, Ben, Lallukka, Tea, Lasrado, Savita, Lau, Jerrald, Lee, Sang-woong, Lee, Wei-Chen, Lee, Yo Han, Lim, Lee-Ling, Lim, Stephen S, Lobo, Stany W, Lopukhov, Platon D, Lorkowski, Stefan, Lozano, Rafael, Lucchetti, Giancarlo, Madadizadeh, Farzan, Madureira-Carvalho, Áurea M, Mahjoub, Soleiman, Mahmoodpoor, Ata, Mahumud, Rashidul Alam, Makki, Alaa, Malekpour, Mohammad-Reza, Manjunatha, Narayana, Mansouri, Borhan, Mansournia, Mohammad Ali, Martinez-Raga, Jose, Martinez-Villa, Francisco A, Matzopoulos, Richard, Maulik, Pallab K, Mayeli, Mahsa, Mcgrath, John J, Meena, Jitendra Kumar, Mehrabi Nasab, Entezar, Menezes, Ritesh G, Mensink, Gert B M, Mentis, Alexios-Fotios A, Meretoja, Atte, Merga, Bedasa Taye, Mestrovic, Tomislav, Miao Jonasson, Junmei, Miazgowski, Bartosz, Micheletti Gomide Nogueira de Sá, Ana Carolina, Miller, Ted R, Mini, Gk, Mirica, Andreea, Mirijello, Antonio, Mirmoeeni, Seyyedmohammadsadeq, Mirrakhimov, Erkin M, Misra, Sanjeev, Moazen, Babak, Mobarakabadi, Maryam, Moccia, Marcello, Mohammad, Yousef, Mohammadi, Esmaeil, Mohammadian-Hafshejani, Abdollah, Mohammed, Teroj Abdulrahman, Moka, Nagabhishek, Mokdad, Ali H, Momtazmanesh, Sara, Moradi, Yousef, Mostafavi, Ebrahim, Mubarik, Sumaira, Mullany, Erin C, Mulugeta, Beemnet Tekabe, Murillo-Zamora, Efrén, Murray, Christopher J L, Mwita, Julius C, Naghavi, Mohsen, Naimzada, Mukhammad David, Nangia, Vinay, Nayak, Biswa Prakash, Negoi, Ionut, Negoi, Ruxandra Irina, Nejadghaderi, Seyed Aria, Nepal, Samata, Neupane, Sudan Prasad Prasad, Neupane Kandel, Sandhya, Nigatu, Yeshambel T, Nowroozi, Ali, Nuruzzaman, Khan M, Nzoputam, Chimezie Igwegbe, Obamiro, Kehinde O, Ogbo, Felix Akpojene, Oguntade, Ayodipupo Sikiru, Okati-Aliabad, Hassan, Olakunde, Babayemi Oluwaseun, Oliveira, Gláucia Maria Morae, Omar Bali, Ahmed, Omer, Emad, Ortega-Altamirano, Doris V, Otoiu, Adrian, Otstavnov, Stanislav S, Oumer, Bilcha, P A, Mahesh, Padron-Monedero, Alicia, Palladino, Raffaele, Pana, Adrian, Panda-Jonas, Songhomitra, Pandey, Anamika, Pandey, Ashok, Pardhan, Shahina, Parekh, Tarang, Park, Eun-Kee, Parry, Charles D H, Pashazadeh Kan, Fatemeh, Patel, Jay, Pati, Siddhartha, Patton, George C, Paudel, Uttam, Pawar, Shrikant, Peden, Amy E, Petcu, Ionela-Roxana, Phillips, Michael R, Pinheiro, Marina, Plotnikov, Evgenii, Pradhan, Pranil Man Singh, Prashant, Akila, Quan, Jianchao, Radfar, Amir, Rafiei, Alireza, Raghav, Pankaja Raghav, Rahimi-Movaghar, Vafa, Rahman, Azizur, Rahman, Md Mosfequr, Rahman, Mosiur, Rahmani, Amir Masoud, Rahmani, Shayan, Ranabhat, Chhabi Lal, Ranasinghe, Priyanga, Rao, Chythra R, Rasali, Drona Prakash, Rashidi, Mohammad-Mahdi, Ratan, Zubair Ahmed, Rawaf, David Laith, Rawaf, Salman, Rawal, Lal, Renzaho, Andre M N, Rezaei, Negar, Rezaei, Saeid, Rezaeian, Mohsen, Riahi, Seyed Mohammad, Romero-Rodríguez, Esperanza, Roth, Gregory A, Rwegerera, Godfrey M, Saddik, Basema, Sadeghi, Erfan, Sadeghian, Reihaneh, Saeed, Umar, Saeedi, Farhad, Sagar, Rajesh, Sahebkar, Amirhossein, Sahoo, Harihar, Sahraian, Mohammad Ali, Saif-Ur-Rahman, Km, Salahi, Sarvenaz, Salimzadeh, Hamideh, Samy, Abdallah M, Sanmarchi, Francesco, Santric-Milicevic, Milena M, Sarikhani, Yaser, Sathian, Brijesh, Saya, Ganesh Kumar, Sayyah, Mehdi, Schmidt, Maria Inê, Schutte, Aletta Elisabeth, Schwarzinger, Michaël, Schwebel, David C, Seidu, Abdul-Aziz, Senthil Kumar, Nachimuthu, Seyedalinaghi, Seyedahmad, Seylani, Allen, Sha, Feng, Shahin, Sarvenaz, Shahraki-Sanavi, Fariba, Shahrokhi, Shayan, Shaikh, Masood Ali, Shaker, Elaheh, Shakhmardanov, Murad Ziyaudinovich, Shams-Beyranvand, Mehran, Sheikhbahaei, Sara, Sheikhi, Rahim Ali, Shetty, Adithi, Shetty, Jeevan K, Shiferaw, Damtew Solomon, Shigematsu, Mika, Shiri, Rahman, Shirkoohi, Reza, Shivakumar, K M, Shivarov, Velizar, Shobeiri, Parnian, Shrestha, Roman, Sidemo, Negussie Boti, Sigfusdottir, Inga Dora, Silva, Diego Augusto Santo, Silva, Natacha Torres da, Singh, Jasvinder A, Singh, Surjit, Skryabin, Valentin Yurievich, Skryabina, Anna Aleksandrovna, Sleet, David A, Solmi, Marco, Solomon, Yonatan, Song, Suhang, Song, Yimeng, Sorensen, Reed J D, Soshnikov, Sergey, Soyiri, Ireneous N, Stein, Dan J, Subba, Sonu Hangma, Szócska, Mikló, Tabarés-Seisdedos, Rafael, Tabuchi, Takahiro, Taheri, Majid, Tan, Ker-Kan, Tareke, Minale, Tarkang, Elvis Enowbeyang, Temesgen, Gebremaryam, Temesgen, Worku Animaw, Temsah, Mohamad-Hani, Thankappan, Kavumpurathu Raman, Thapar, Rekha, Thomas, Nikhil Kenny, Tiruneh, Chalachew, Todorovic, Jovana, Torrado, Marco, Touvier, Mathilde, Tovani-Palone, Marcos Roberto, Tran, Mai Thi Ngoc, Trias-Llimós, Sergi, Tripathy, Jaya Prasad, Vakilian, Alireza, Valizadeh, Rohollah, Varmaghani, Mehdi, Varthya, Shoban Babu, Vasankari, Tommi Juhani, Vos, Theo, Wagaye, Birhanu, Waheed, Yasir, Walde, Mandaras Tariku, Wang, Cong, Wang, Yanzhong, Wang, Yuan-Pang, Westerman, Ronny, Wickramasinghe, Nuwan Darshana, Wubetu, Abate Dargie, Xu, Suowen, Yamagishi, Kazumasa, Yang, Lin, Yesera, Gesila Endashaw E, Yigit, Arzu, Yiğit, Vahit, Yimaw, Ayenew Engida Ayenew Engida, Yon, Dong Keon, Yonemoto, Naohiro, Yu, Chuanhua, Zadey, Siddhesh, Zahir, Mazyar, Zare, Iman, Zastrozhin, Mikhail Sergeevich, Zastrozhina, Anasthasia, Zhang, Zhi-Jiang, Zhong, Chenwen, Zmaili, Mohammad, Zuniga, Yves Miel H, Gakidou, Emmanuela, Bryazka, D, Reitsma, Mb, Griswold, Mg, Abate, Kh, Abbafati, C, Kangevari, Ma, Kangevari, Za, Abdoli, A, Abdollahi, M, Abdullah, Am, Abhilash, E, Abu Gharbieh, E, Acuna, Jm, Addolorato, G, Adebayo, Om, Adekanmbi, V, Adhikari, K, Adhikari, S, Adnani, Qe, Afzal, S, Agegnehu, Wy, Aggarwal, M, Ahinkorah, Bo, Ahmad, Ar, Ahmad, S, Ahmad, T, Ahmadi, A, Ahmadi, S, Ahmed, H, Rashid, Ta, Akunna, Cj, Al Hamad, H, Alam, Mz, Alem, Dt, Alene, Ka, Alimohamadi, Y, Alizadeh, A, Allel, K, Alonso, J, Alvand, S, Guzman, Na, Amare, F, Ameyaw, Ek, Amiri, S, Ancuceanu, R, Anderson, Ja, Andrei, Cl, Andrei, T, Arabloo, J, Arshad, M, Artamonov, Aa, Aryan, Z, Asaad, M, Asemahagn, Ma, Burt, Ta, Athari, S, Atnafu, Dd, Atorkey, P, Atreya, A, Ausloos, F, Ausloos, M, Ayano, G, Ayanore, Ma, Ayinde, Oo, Mateos, Jla, Azadnajafabad, S, Azanaw, Mm, Khyavy, Ma, Jafari, Aa, Azzam, Ay, Badiye, Ad, Bagheri, N, Bagherieh, S, Bairwa, M, Bakkannavar, Sm, Bakshi, Rk, Balchut, Ah, Null, T, Barra, F, Barrow, A, Baskaran, P, Belo, L, Bennett, Da, Bensenor, Im, Bhagavathula, A, Bhala, N, Bhalla, A, Bhardwaj, N, Bhardwaj, P, Bhaskar, S, Bhattacharyya, K, Bhojaraja, V, Bintoro, B, Blokhina, Eae, Bodicha, Bba, Boloor, A, Bosetti, C, Braithwaite, D, Brenner, H, Briko, Ni, Brunoni, Ar, Butt, Za, Cao, C, Cao, Y, Cardenas, R, Carvalho, Af, Carvalho, M, Maia, Jmc, Castelpietra, G, de Araujo, Lfsc, Cattaruzza, M, Chakraborty, Pa, Charan, J, Chattu, Vk, Chaurasia, A, Cherbuin, N, Chu, Dt, Chudal, N, Chung, Sc, Churko, C, Ciobanu, Lg, Cirillo, M, Claro, Rm, Costanzo, S, Cowden, Rg, Criqui, Mh, Martins, Nc, Culbreth, Gt, Dachew, Ba, Dadras, O, Dai, Xc, Damiani, G, Dandona, L, Dandona, R, Daniel, Bd, Danielewicz, A, Gela, Jd, Davletov, K, de Araujo, Jap, de Sa, Ar, Debela, Sa, Dehghan, A, Demetriades, Ak, Molla, Md, Desai, R, Desta, Aa, da Silva, Dd, Diaz, D, Digesa, Le, Diress, M, Dodangeh, M, Dongarwar, D, Dorostkar, F, Dsouza, Hl, Duko, B, Duncan, Bb, Edvardsson, K, Ekholuenetale, M, Elgar, Fj, Elhadi, M, Elmonem, Ma, Endries, Ay, Eskandarieh, S, Etemadimanesh, A, Fagbamigbe, Af, Fakhradiyev, Ir, Farahmand, F, Farinha, Cse, Faro, A, Farzadfar, F, Fatehizadeh, A, Fauk, 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, Lm, Islam, Mm, Islam, Rm, Islam, Sm, Iso, H, Itumalla, R, Iwagami, M, Jabbarinejad, R, Jacob, L, Jakovljevic, M, Jamalpoor, Z, Jamshidi, E, Jayapal, Sk, Jayarajah, Uu, Jayawardena, R, Jebai, R, Jeddi, Sa, Jema, At, Jha, Rp, Jindal, Ha, Jonas, Jb, Joo, T, Joseph, N, Joukar, F, Jozwiak, Jj, Jurisson, M, Kabir, A, Kabthymer, Rh, Kamble, Bd, Kandel, H, Kanno, Gg, Kapoor, N, Karaye, Im, Karimi, Se, Kassa, Bg, Kaur, Rj, Kayode, Ga, Keykhaei, M, Khajuria, H, Khalilov, R, Khan, Ia, Ab Khan, M, Kim, H, Kim, J, Kim, M, Kimokoti, Rw, Kivimaki, M, Klymchuk, V, Knudsen, Ak, Kolahi, Aa, Korshunov, Va, Koyanagi, A, Krishan, K, Krishnamoorthy, Y, Kumar, Ga, Kumar, N, Ben, Lacey, Lallukka, T, Lasrado, S, Lau, J, Lee, Sw, Lee, Wc, Lee, Yh, Lim, Ll, Lim, S, Lobo, Sw, Lopukhov, Pd, Lorkowski, S, Lozano, R, Lucchetti, G, Madadizadeh, F, Mahjoub, S, Mahmoodpoor, A, Mahumud, Ra, Makki, A, Malekpour, Mr, Manjunatha, N, Mansouri, B, Mansournia, Ma, Raga, Jm, Villa, Fam, Matzopoulos, R, Maulik, Pk, Mayeli, M, Mcgrath, Jj, Meena, Jk, Nasab, Em, Menezes, Rg, Mensink, Gbm, Mentis, Afa, Meretoja, A, Merga, Bt, Mestrovic, T, Jonasson, Jm, Miazgowski, B, de Sa, Acmgn, Miller, Tr, Mini, G, Mirica, A, Mirijello, A, Mirmoeeni, S, Mirrakhimov, Em, Misra, S, Moazen, B, Mobarakabadi, M, Moccia, M, Mohammad, Y, Mohammadi, E, Hafshejani, Am, Mohammed, Ta, Moka, N, Mokdad, Ah, Momtazmanesh, S, Moradi, Y, Mostafavi, E, Mubarik, S, Mullany, Ec, Mulugeta, Bt, Zamora, Em, Murray, Cjl, Mwita, Jc, Naghavi, M, Naimzada, Md, Nangia, V, Nayak, Bp, Negoi, I, Negoi, Ri, Nejadghaderi, Sa, Nepal, S, Neupane, Spp, Kandel, Sn, Nigatu, Yt, Nowroozi, A, Nuruzzaman, Km, Nzoputam, Ci, Obamiro, Ko, Ogbo, Fa, Oguntade, A, Aliabad, Ho, Olakunde, Bo, Oliveira, Gmm, Bali, Ao, Omer, E, Altamirano, Dvo, Otoiu, A, Otstavnov, S, Oumer, B, Mahesh, Pa, Monedero, Ap, Palladino, R, Pana, A, Jonas, Sp, Pandey, A, Pardhan, S, Parekh, T, Park, Ek, Parry, Cdh, Kan, Fp, Patel, J, Pati, S, Patton, Gc, Paudel, U, Pawar, S, Peden, Ae, Petcu, Ir, Phillips, Mr, Pinheiro, M, Plotnikov, E, Pradhan, Pm, Prashant, A, Quan, Jc, Radfar, A, Rafiei, A, Raghav, Pr, Movaghar, Vr, Rahman, A, Rahman, Mm, Rahman, M, Rahmani, Am, Rahmani, S, Ranabhat, Cl, Ranasinghe, P, Rao, Cr, Rasali, Dp, Rashidi, Mm, Ratan, Za, Rawaf, Dl, Rawaf, S, Rawal, L, Renzaho, Amn, Rezaei, N, Rezaei, S, Rezaeian, M, Riahi, Sm, Rodriguez, Er, Roth, Ga, Rwegerera, Gm, Saddik, B, Sadeghi, E, Sadeghian, R, Saeed, U, Saeedi, F, Sagar, R, Sahebkar, A, Sahoo, H, Sahraian, Ma, Rahman, Ksu, Salahi, S, Salimzadeh, H, Samy, Am, Sanmarchi, F, Milicevic, Mm, Sarikhani, Y, Sathian, B, Saya, Gk, Sayyah, M, Schmidt, Mi, Schutte, Ae, Schwarzinger, M, Schwebel, Dc, Seidu, Aa, Seyedalinaghi, S, Seylani, A, Sha, F, Shahin, S, Sanavi, F, Shahrokhi, S, Shaikh, Ma, Shaker, E, Shakhmardanov, Mz, Beyranvand, M, Sheikhbahaei, S, Sheikhi, Ra, Shetty, A, Shetty, Jk, Shiferaw, D, Shigematsu, M, Shiri, R, Shirkoohi, R, Shivakumar, Km, Shivarov, V, Shobeiri, P, Shrestha, R, Sidemo, Nb, 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
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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
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- 2022
28. Global burden of chronic respiratory diseases and risk factors, 1990-2019: an update from the Global Burden of Disease Study 2019
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A., Sabour, Siamak, Saddik, Basema, Sadeghi, Erfan, Sadeghi, Masoumeh, Saeed, Umar, Sahebazzamani, Maryam, Sahebkar, Amirhossein, Sahoo, Harihar, Sajid, Mirza Rizwan, Sakhamuri, Sateesh, Salehi, Sana, Samy, Abdallah M., Santric-Milicevic, Milena M., Sao Jose, Bruno Piassi, Sathian, Brijesh, Satpathy, Maheswar, Saya, Ganesh Kumar, Senthilkumaran, Subramanian, Seylani, Allen, Shahabi, Saeed, Shaikh, Masood Ali, Shanawaz, Mohd, Shannawaz, Mohammed, Sheikhi, Rahim Ali, Shekhar, Shashank, Sibhat, Migbar Mekonnen, Simpson, Colin R., Singh, Jasvinder A., Singh, Paramdeep, Singh, Surjit, Skryabin, Valentin Yurievich, Skryabina, Anna Aleksandrovna, Soltani-Zangbar, Mohammad Sadegh, Song, Suhang, Soyiri, Ireneous N., Steiropoulos, Paschalis, Stockfelt, Leo, Sun, Jing, Takahashi, Ken, Talaat, Iman M., Tan, Ker-Kan, Tat, Nathan Y., Tat, Vivian Y., Taye, Birhan Tsegaw, Thangaraju, Pugazhenthan, Thapar, Rekha, Thienemann, Friedrich, Tiyuri, Amir, Ngoc Tran, Mai Thi, Tripathy, Jaya Prasad, Car, Lorainne Tudor, Tusa, Biruk Shalmeno, Ullah, Irfan, Ullah, Sana, Vacante, Marco, Valdez, Pascual R., Valizadeh, Rohollah, van Boven, Job F. M., Vasankari, Tommi Juhani, Vaziri, Siavash, Violante, Francesco S., Vo, Bay, Wang, Ning, Wei, Melissa Y., Westerman, Ronny, Wickramasinghe, Nuwan Darshana, Xu, Suowen, Xu, Xiaoyue, Yadav, Lalit, Yismaw, Yazachew, Yon, Dong Keon, Yonemoto, Naohiro, Yu, Chuanhua, Yu, Yong, Yunusa, Ismaeel, Zahir, Mazyar, Zangiabadian, Moein, Zareshahrabadi, Zahra, Zarrintan, Armin, Zastrozhin, Mikhail Sergeevich, Zegeye, Zelalem Banjaw, Zhang, Yunquan, Naghavi, Mohsen, Larijani, Bagher, Farzadfar, Farshad, Surgery, Erasmus MC other, Public Health, Pulmonary Medicine, GVO PSY, Ophthalmology, Momtazmanesh, Sara, Moghaddam, Sahar Saeedi, Ghamari, Seyyed-Hadi, Rad, Elaheh Malakan, Rezaei, Negar, Shobeiri, Parnian, Aali, Amirali, Abbasi-Kangevari, Mohsen, Abbasi-Kangevari, Zeinab, Abdelmasseh, Michael, Abdoun, Meriem, Abdulah, Deldar Morad, Md Abdullah, Abu Yousuf, Abedi, Aidin, Abolhassani, Hassan, Abrehdari-Tafreshi, Zahra, Achappa, Basavaprabhu, Adane Adane, Denberu Eshetie, Adane, Tigist Demssew, Addo, Isaac Yeboah, Adnan, Mohammad, Sakilah Adnani, Qorinah Estiningtya, Ahmad, Sajjad, Ahmadi, Ali, Ahmadi, Keivan, Ahmed, Ali, Ahmed, Ayman, Rashid, Tarik Ahmed, Al Hamad, Hanadi, Alahdab, Fare, Alemayehu, Astawu, Alif, Sheikh Mohammad, Aljunid, Syed Mohamed, Almustanyir, Sami, Altirkawi, Khalid A., Alvis-Guzman, Nelson, Dehkordi, Javad Aminian, Amir-Behghadami, Mehrdad, Ancuceanu, Robert, Andrei, Catalina Liliana, Andrei, Tudorel, Antony, Catherine M., Anyasodor, Anayochukwu Edward, Arabloo, Jalal, Arulappan, Judie, Ashraf, Tahira, Athari, Seyyed Shamsadin, Attia, Engi F., Ayele, Meshesha Tsegazeab, Azadnajafabad, Sina, Babu, Abraham Samuel, Bagherieh, Sara, Baltatu, Ovidiu Constantin, Banach, Maciej, Bardhan, Mainak, Barone-Adesi, Francesco, Barrow, Amadou, Basu, Saurav, Bayileyegn, Nebiyou Simegnew, Bensenor, Isabela M., Bhardwaj, Nikha, Bhardwaj, Pankaj, Bhat, Ajay Nagesh, Bhattacharyya, Krittika, Bouaoud, Souad, Braithwaite, Dejana, Brauer, Michael, Butt, Muhammad Hammad, Butt, Zahid A., Calina, Daniela, Cámera, Luis Alberto, Chanie, Gashaw Sisay, Charalampous, Perikli, Chattu, Vijay Kumar, Chimed-Ochir, Odgerel, Chu, Dinh-Toi, Cohen, Aaron J., Cruz-Martins, Natália, Dadras, Omid, Darwesh, Aso Mohammad, Das, Saswati, Debela, Sisay Abebe, Delgado-Ortiz, Laura, Dereje, Diriba, Dianatinasab, Mostafa, Diao, Nancy, Diaz, Daniel, Digesa, Lankamo Ena, Dirirsa, Gebisa, Doku, Paul Narh, Dongarwar, Deepa, Douiri, Abdel, Dsouza, Haneil Larson, Eini, Ebrahim, Ekholuenetale, Michael, Ekundayo, Temitope Cyru, Mustafa Elagali, Ahmed Elabba, Elhadi, Muhammed, Enyew, Daniel Berhanie, Erkhembayar, Ryenchindorj, Etaee, Farshid, Fagbamigbe, Adeniyi Franci, Faro, Andre, Fatehizadeh, Ali, Fekadu, Ginenu, Filip, Irina, Fischer, Florian, Foroutan, Masoud, Franklin, Richard Charle, Gaal, Peter Andra, Gaihre, Santosh, Gaipov, Abduzhappar, Gebrehiwot, Mesfin, Gerema, Urge, Getachew, Motuma Erena, Getachew, Tamiru, Ghafourifard, Mansour, Ghanbari, Reza, Ghashghaee, Ahmad, Gholami, Ali, Gil, Artyom Urievich, Golechha, Mahaveer, Goleij, Pouya, Golinelli, Davide, Guadie, Habtamu Alganeh, Gupta, Bhawna, Gupta, Sapna, Gupta, Veer Bala, Gupta, Vivek Kumar, Hadei, Mostafa, Halwani, Rabih, Hanif, Asif, Hargono, Arief, Harorani, Mehdi, Hartono, Risky Kusuma, Hasani, Hamidreza, Hashi, Abdiwahab, Hay, Simon I., Heidari, Mohammad, Hellemons, Merel E., Herteliu, Claudiu, Holla, Ramesh, Horita, Nobuyuki, Hoseini, Mohammad, Hosseinzadeh, Mehdi, Huang, Junjie, Hussain, Salman, Hwang, Bing-Fang, Iavicoli, Ivo, Ibitoye, Segun Emmanuel, Ibrahim, Sufyan, Ilesanmi, Olayinka Stephen, Ilic, Irena M., Ilic, Milena D., Immurana, Mustapha, Ismail, Nahlah Elkudssiah, Merin J, Linda, Jakovljevic, Mihajlo, Jamshidi, Elham, Janodia, Manthan Dilipkumar, Javaheri, Tahereh, Jayapal, Sathish Kumar, Jayaram, Shubha, Jha, Ravi Prakash, Johnson, Olatunji, Joo, Tama, Joseph, Nitin, Jozwiak, Jacek Jerzy, K, Vaishali, Kaambwa, Billingsley, Kabir, Zubair, Kalankesh, Laleh R., Kalhor, Rohollah, Kandel, Himal, Karanth, Shama D., Karaye, Ibraheem M., Kassa, Bekalu Getnet, Kassie, Gizat M., Keikavoosi-Arani, Leila, Keykhaei, Mohammad, Khajuria, Himanshu, Khan, Imteyaz A., Khan, Moien A.B., Khan, Yusra H., Khreis, Haneen, Kim, Min Seo, Kisa, Adnan, Kisa, Sezer, Knibbs, Luke D., Kolkhir, Pavel, Komaki, Somayeh, Kompani, Farzad, Koohestani, Hamid Reza, Koolivand, Ali, Korzh, Oleksii, Koyanagi, Ai, Krishan, Kewal, Krohn, Kris J., Kumar, Naveen, Kumar, Nithin, Kurmi, Om P., Kuttikkattu, Ambily, La Vecchia, Carlo, Lám, Judit, Lan, Qing, Lasrado, Savita, Latief, Kamaluddin, Lauriola, Paolo, Lee, Sang-woong, Lee, Yo Han, Legesse, Samson Mideksa, Lenzi, Jacopo, Li, Ming-Chieh, Lin, Ro-Ting, Liu, Gang, Liu, Wei, Lo, Chun-Han, Lorenzovici, László, Lu, Yifei, Mahalingam, Soundarya, Mahmoudi, Elham, Mahotra, Narayan B., Malekpour, Mohammad-Reza, Malik, Ahmad Azam, Mallhi, Tauqeer Hussain, Malta, Deborah Carvalho, Mansouri, Borhan, Mathews, Elezebeth, Maulud, Sazan Qadir, Mechili, Enkeleint A., Nasab, Entezar Mehrabi, Menezes, Ritesh G., Mengistu, Dechasa Adare, Mentis, Alexios-Fotio, Meshkat, Mahboobeh, Mestrovic, Tomislav, Micheletti Gomide Nogueira de Sá, Ana Carolina, Mirrakhimov, Erkin M., Misganaw, Awoke, Mithra, Prasanna, Moghadasi, Javad, Mohammadi, Esmaeil, Mohammadi, Mokhtar, Mohammadshahi, Marita, Mohammed, Shafiu, Mohan, Syam, Moka, Nagabhishek, Monasta, Lorenzo, Moni, Mohammad Ali, Moniruzzaman, Md, Montazeri, Fateme, Moradi, Maryam, Mostafavi, Ebrahim, Mpundu-Kaambwa, Christine, Murillo-Zamora, Efrén, Murray, Christopher J.L., Nair, Tapas Sadasivan, Nangia, Vinay, Swamy, Sreenivas Narasimha, Narayana, Aparna Ichalangod, Natto, Zuhair S., Nayak, Biswa Prakash, Negash, Wogene Wogene, Nena, Evangelia, Kandel, Sandhya Neupane, Niazi, Robina Khan, Nogueira de Sá, Antonio Tolentino, Nowroozi, Ali, Nzoputam, Chimezie Igwegbe, Nzoputam, Ogochukwu Janet, Oancea, Bogdan, Obaidur, Rahman Md, Odukoya, Oluwakemi Ololade, Okati-Aliabad, Hassan, Okekunle, Akinkunmi Paul, Okonji, Osaretin Christabel, Olagunju, Andrew T., Bali, Ahmed Omar, Ostojic, Sergej M., A, Mahesh P., Padron-Monedero, Alicia, Padubidri, Jagadish Rao, Pahlevan Fallahy, Mohammad Taha, Palicz, Tamá, Pana, Adrian, Park, Eun-Kee, Patel, Jay, Paudel, Rajan, Paudel, Uttam, Pedersini, Paolo, Pereira, Marco, Pereira, Renato B., Petcu, Ionela-Roxana, Pirestani, Majid, Postma, Maarten J., Prashant, Akila, Rabiee, Mohammad, Radfar, Amir, Rafiei, Sima, Rahim, Fakher, Ur Rahman, Mohammad Hifz, Rahman, Mosiur, Rahman, Muhammad Aziz, Rahmani, Amir Masoud, Rahmani, Shayan, Rahmanian, Vahid, Rajput, Prashant, Rana, Juwel, Rao, Chythra R., Rao, Sowmya J., Rashedi, Sina, Rashidi, Mohammad-Mahdi, Ratan, Zubair Ahmed, Rawaf, David Laith, Rawaf, Salman, Rawal, Lal, Rawassizadeh, Reza, Razeghinia, Mohammad Sadegh, Mohamed Redwan, Elrashdy Moustafa, Rezaei, Maryam, Rezaei, Nazila, Rezaei, Nima, Rezaeian, Mohsen, Rodrigues, Mónica, Buendia Rodriguez, Jefferson Antonio, Roever, Leonardo, Rojas-Rueda, David, Rudd, Kristina E., Saad, Aly M.A., Sabour, Siamak, Saddik, Basema, Sadeghi, Erfan, Sadeghi, Masoumeh, Saeed, Umar, Sahebazzamani, Maryam, Sahebkar, Amirhossein, Sahoo, Harihar, Sajid, Mirza Rizwan, Sakhamuri, Sateesh, Salehi, Sana, Samy, Abdallah M., Santric-Milicevic, Milena M., Sao Jose, Bruno Piassi, Sathian, Brijesh, Satpathy, Maheswar, Saya, Ganesh Kumar, Senthilkumaran, Subramanian, Seylani, Allen, Shahabi, Saeed, Shaikh, Masood Ali, Shanawaz, Mohd, Shannawaz, Mohammed, Sheikhi, Rahim Ali, Shekhar, Shashank, Sibhat, Migbar Mekonnen, Simpson, Colin R., Singh, Jasvinder A., Singh, Paramdeep, Singh, Surjit, Skryabin, Valentin Yurievich, Skryabina, Anna Aleksandrovna, Soltani-Zangbar, Mohammad Sadegh, Song, Suhang, Soyiri, Ireneous N., Steiropoulos, Paschali, Stockfelt, Leo, Sun, Jing, Takahashi, Ken, Talaat, Iman M., Tan, Ker-Kan, Tat, Nathan Y., Tat, Vivian Y., Taye, Birhan Tsegaw, Thangaraju, Pugazhenthan, Thapar, Rekha, Thienemann, Friedrich, Tiyuri, Amir, Ngoc Tran, Mai Thi, Tripathy, Jaya Prasad, Car, Lorainne Tudor, Tusa, Biruk Shalmeno, Ullah, Irfan, Ullah, Sana, Vacante, Marco, Valdez, Pascual R., Valizadeh, Rohollah, van Boven, Job F.M., Vasankari, Tommi Juhani, Vaziri, Siavash, Violante, Francesco S., Vo, Bay, Wang, Ning, Wei, Melissa Y., Westerman, Ronny, Wickramasinghe, Nuwan Darshana, Xu, Suowen, Xu, Xiaoyue, Yadav, Lalit, Yismaw, Yazachew, Yon, Dong Keon, Yonemoto, Naohiro, Yu, Chuanhua, Yu, Yong, Yunusa, Ismaeel, Zahir, Mazyar, Zangiabadian, Moein, Zareshahrabadi, Zahra, Zarrintan, Armin, Zastrozhin, Mikhail Sergeevich, Zegeye, Zelalem Banjaw, Zhang, Yunquan, Naghavi, Mohsen, Larijani, Bagher, Farzadfar, Farshad, Real World Studies in PharmacoEpidemiology, -Genetics, -Economics and -Therapy (PEGET), Value, Affordability and Sustainability (VALUE), Microbes in Health and Disease (MHD), and Groningen Research Institute for Asthma and COPD (GRIAC)
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Pulmonary emphysema ,Lung disease ,Morbidity ,Epidemiology ,Chronic obstructive pulmonary disease ,Interstitial lung disease ,General Medicine ,Pneumoconiosi ,Asthma ,SDG 3 - Good Health and Well-being ,Mortality ,Pneumoconiosis - Abstract
Background: Updated data on chronic respiratory diseases (CRDs) are vital in their prevention, control, and treatment in the path to achieving the third UN Sustainable Development Goals (SDGs), a one-third reduction in premature mortality from non-communicable diseases by 2030. We provided global, regional, and national estimates of the burden of CRDs and their attributable risks from 1990 to 2019.Methods: Using data from the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2019, we estimated mortality, years lived with disability, years of life lost, disability-adjusted life years (DALYs), prevalence, and incidence of CRDs, i.e. chronic obstructive pulmonary disease (COPD), asthma, pneumoconiosis, interstitial lung disease and pulmonary sarcoidosis, and other CRDs, from 1990 to 2019 by sex, age, region, and Socio-demographic Index (SDI) in 204 countries and territories. Deaths and DALYs from CRDs attributable to each risk factor were estimated according to relative risks, risk exposure, and the theoretical minimum risk exposure level input. Findings: In 2019, CRDs were the third leading cause of death responsible for 4.0 million deaths (95% uncertainty interval 3.6–4.3) with a prevalence of 454.6 million cases (417.4–499.1) globally. While the total deaths and prevalence of CRDs have increased by 28.5% and 39.8%, the age-standardised rates have dropped by 41.7% and 16.9% from 1990 to 2019, respectively. COPD, with 212.3 million (200.4–225.1) prevalent cases, was the primary cause of deaths from CRDs, accounting for 3.3 million (2.9–3.6) deaths. With 262.4 million (224.1–309.5) prevalent cases, asthma had the highest prevalence among CRDs. The age-standardised rates of all burden measures of COPD, asthma, and pneumoconiosis have reduced globally from 1990 to 2019. Nevertheless, the age-standardised rates of incidence and prevalence of interstitial lung disease and pulmonary sarcoidosis have increased throughout this period. Low- and low-middle SDI countries had the highest age-standardised death and DALYs rates while the high SDI quintile had the highest prevalence rate of CRDs. The highest deaths and DALYs from CRDs were attributed to smoking globally, followed by air pollution and occupational risks. Non-optimal temperature and high body-mass index were additional risk factors for COPD and asthma, respectively.Interpretation: Albeit the age-standardised prevalence, death, and DALYs rates of CRDs have decreased, they still cause a substantial burden and deaths worldwide. The high death and DALYs rates in low and low-middle SDI countries highlights the urgent need for improved preventive, diagnostic, and therapeutic measures. Global strategies for tobacco control, enhancing air quality, reducing occupational hazards, and fostering clean cooking fuels are crucial steps in reducing the burden of CRDs, especially in low- and lower-middle income countries. Funding: Bill & Melinda Gates Foundation.
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- 2023
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29. Identification of Anaplasma phagocytophilum infection among camels (Camelus dromedarius) in Yazd, Iran
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Maryam Rassouli, Abbas Oliya Ardekani, Hassan Moazzezi, Hidokht Rezaeian, and Zahra Robatjazi
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Anatomy ,Pathology and Forensic Medicine - Published
- 2022
30. Improving the area of harmonic pollution and vulnerability to voltage sag for compatible and reliable operation of sensitive harmonic loads
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Sina Shakeri, Javad Khajouei, Saeid Esmaeili, and Mohammad Hossein Rezaeian Koochi
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Control and Systems Engineering ,Energy Engineering and Power Technology ,Electrical and Electronic Engineering - Published
- 2022
31. Prenatal and clinical characteristics of pregnant women infected with COVID-19 in Yazd, Iran: A multicenter cross-sectional study
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Razieh, Sadat Tabatabai, Leila, Asadi, Maryam, Mohammadi, Mina, Rahmani, Elahe, Rezaeian, Fatemeh, Ghasemi, and Mohammad, Javad Tarahi
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Reproductive Medicine ,Obstetrics and Gynecology - Abstract
Background: Coronavirus infection has caused widespread concern among mothers and physicians about the health of pregnant women and infants. Objective: The aim of this study was to evaluate the clinical and prenatal findings of pregnant women with coronavirus disease-2019 (COVID-19) virus. Materials and Methods: The present study was a descriptive study that was conducted in 6 mother and child care centers. In this study, 81 pregnant women with COVID-19 admitted to centers in the period from March 2020-September 2020 were studied. Clinical and prenatal findings of the pregnant mothers were recorded using a data collection form with details of demographic characteristics and these were analyzed. Results: The gestational age of the affected women was between 4 and 40 wk. 48 deliveries were performed and 25% of deliveries were preterm. Coronavirus infection was the cause of termination of pregnancy in 4 cases. The most common symptoms of women when visiting the medical centers were: dry cough (58.0%), muscle pain and myalgia (56.8%) and fever (51.9%). The most common laboratory findings in the women were: increased C-reactive protein (67.90%), lymphopenia (18.51%), decreased white blood cells (27.16%), and increased liver enzymes (18.51%). Regarding the status of the newborns, out of the 33 neonates examined, 3 neonates were diagnosed with COVID-19. Conclusion: The most common symptoms of pregnant women with COVID-19 are similar to those of other adults. In relation to neonatal infection, given that a number of the neonates tested positive, there appears to be evidence of vertical transmission, which requires further investigation. Key words: Coronavirus, COVID-19, Pregnancy, Clinical, Prenatal.
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- 2022
32. An Investigation on Microstructure and Mechanical Properties of a Copper Strip Subjected to Different Routes of Accumulative Roll Bonding Process
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Hossein Taheri Barayjani, Mohammad Reza Toroghinejad, Ahmad Rezaeian, Ali Shabani, and Philippe Bocher
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Mechanics of Materials ,Mechanical Engineering ,General Materials Science - Published
- 2022
33. Scheduling unrelated parallel machine problem with multi-mode processing times and batch delivery cost
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Ali Kordmostafapour, Javad Rezaeian, Iraj Mahdavi, and Mahdi Yar Farjad
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Management Science and Operations Research ,Computer Science Applications ,Information Systems ,Management Information Systems - Published
- 2022
34. Association between Suicide Rate and Human Development Index, Income, and the Political System in 46 Muslim-Majority Countries: An Ecological Study
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S. M. Yasir Arafat, Marthoenis Marthoenis, Murad M. Khan, and Mohsen Rezaeian
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Clinical Psychology ,Muslim country ,suicide ,human development index ,income ,political system ,Developmental and Educational Psychology ,Applied Psychology - Abstract
Very little has been researched assessing the relationship between the suicide rate and the ecological perspectives of the country, especially in the Muslim majority countries. We aimed to determine the association between suicide rate and the ecological parameters of 46 Muslim majority countries. We extracted the Muslim majority countries and their suicide rate, income distribution, distribution of the WHO region and continents, and Human Development Index (HDI). We assessed the correlation of the proportion of Muslim populations, the total population of the countries, number of suicides, continent, income group, political system, and HDI score with the suicide rate. The median suicide rate was 5.45 (IQR = 4.8); 2.9 (IQR = 4) in females and 7.45 (IQR = 8.2) in males per 100,000 population. The males had a significantly higher rate and the highest suicide rate was found in Africa. There are inverse associations between the total suicide rate, the rate in males, and females with HDI, and the income of the country. Furthermore, the suicide rate was significantly higher in countries with democratic systems compared to non-democratic countries. The findings suggest that ecological parameters may have an etiological role on suicides in Muslim countries where HDI and income are inversely associated with suicide rates.
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- 2022
35. Fabrication of Head Phantom to Investigate the Effect of Heterogeneity on the Absorbed Dose in Radiotherapy
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P. Rezaeian, L. Teimoori Khandan, H. Torabi, and S. Kashian
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General Mathematics ,General Physics and Astronomy ,General Earth and Planetary Sciences ,General Chemistry ,General Agricultural and Biological Sciences - Published
- 2022
36. How to Write a Scientific Hypothesis Article
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Mohsen Rezaeian
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- 2022
37. How Can Causal Relationships Be Measured in Observational Studies? Propensity Score Matching: A Tutorial Article
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Mina Tahmasebi fard, Farid Najafi, Shahab Rezaeian, and Mahdi Moradinazar
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- 2022
38. Neuroprotective Effects of Berberine Hydrochloride on Methamphetamine-induced Cognitive Dysfunction: Immunohistochemical and Behavioral Studies in Rats
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Hamid Kalalian Moghaddam, Mehdi Khaksari, Raheleh Rafaiee, and Leila Rezaeian
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Cellular and Molecular Neuroscience ,business.industry ,Behavioral study ,medicine ,Immunohistochemistry ,Cognition ,Neurology (clinical) ,Methamphetamine ,Pharmacology ,business ,Neuroprotection ,medicine.drug ,Berberine hydrochloride - Abstract
Methamphetamine (MA) as an addictive psychostimulant drug affects the central nervous system. The current research aimed to evaluate the impact of berberine hydrochloride on improving cognitive function and neuroprotective effects in rats addicted to MA.In this study, 27 male Wistar rats were randomly assigned to three groups, including control, MA addiction, and MA addiction with berberine hydrochloride (100 mg/kg/d) orally during the three weeks of withdrawal. Two groups received self-administered inhaled MA for two weeks (up to 10 mg/kg). Following the experimental procedures, a Morris water maze (MWM) and shuttle box were used to assess memory, and hippocampal sections from the animals were examined for caspase-3, Ki-67, and glial fibrillary acidic protein (GFAP) expression.The obtained results from the Morris water maze (MWM) showed that berberine hydrochloride decreases (P0.01) the distance moved and the time spent to reach the hidden platform in the four-day learning trails phase and significant differences were observed in the distance moved, spent time, and frequency of motion in target quadrant on probe test day between groups. Berberine hydrochloride also reduced the latency of animals entering the dark chamber in the treated group compared to the control group (P0.05). A significant decrease in activation of caspases-3, higher percentages of Ki-67 expression, and an increase in glial fibrillary acidic protein (GFAP) expression of cells was observed in the addicted group compared to the berberine-treated and control groups (P0.05).Administration of berberine hydrochloride for 3 weeks improves cognitive function in MA addiction and it has potential neuroprotective efficacy.Methamphetamine (MA) as an addictive psychostimulant drug affects the central nervous system.The berberine hydrochloride effects on improving cognitive function and neuroprotective.No approved pharmacotherapy, as well as confirmed medication, is available to treat MA abuse.Methamphetamine (MA) is known as a strong addictive stimulant with high addiction and no approved pharmaco-therapy, as well as confirmed medication, is available to treat MA abuse. The study on the long-term effect of MA exposure on cognitive function during an object recognition memory test showed cognitive dysfunction after MA exposure. Berberine can reduce induced amnesia, which can be due to the increased peripheral and central cholinergic neuronal system functions, in addition, the most important mechanism in the protective effect of berberine against amnesia is the inhabitation of inflammation; however, the berberine impact on cells should be more investigated.
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- 2022
39. Iran's National Suicide Prevention Program
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Mohsen Rezaeian, Stephen Platt, and Ella Arensman
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medicine.medical_specialty ,Public health ,education ,Suicide prevention ,030227 psychiatry ,03 medical and health sciences ,Psychiatry and Mental health ,Eastern mediterranean ,0302 clinical medicine ,Geography ,medicine ,Program development ,030212 general & internal medicine ,Socioeconomics - Abstract
Abstract. Background and Aims: Iran is one of the few countries in the Eastern Mediterranean Region (EMR) to have developed a national suicide prevention program (NSPP). This report introduces Iran's NSPP to policy planners and researchers working in suicide prevention, and is intended to encourage other low- and middle-income countries to develop, implement, and evaluate their own NSPPs. Method: This was a case study of a NSPP in one country, integrating quantitative and qualitative data. Bibliographic searches were conducted using both international and national databases, supplemented by other documents. The study benefited from the experiential evidence provided by the senior author. Results: While the national incidence of suicide is low, there are higher rates among young adults, particularly women, in western regions. In 2010, Iran's NSPP was integrated into primary health care. A rigorous evaluation of Iran's suicide prevention program concluded that Iran has the potential to take a leadership role in suicide prevention within the EMR, although several challenges were identified. Limitation: The findings of this case study cannot be generalized to other contexts. Conclusion: Given Iran's unstable situation, the NSPP needs to be monitored, evaluated, and adjusted according to evidence and ongoing changing national and local needs.
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- 2022
40. A novel design of a silicon PIN diode for increasing the breakdown voltage
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Farzaneh Rezaei, Fatemeh Dehghan Nayeri, and Adel Rezaeian
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Control and Systems Engineering ,Electrical and Electronic Engineering - Published
- 2022
41. Passive Harmonic Filter Design Considering Voltage Sag Performance - Applicable to Large Industries
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Sina Shakeri, Mohammad Hossein Rezaeian Koochi, and Saeid Esmaeili
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Harmonic filtering ,Computer science ,Voltage sag ,Electronic engineering ,Energy Engineering and Power Technology ,Electrical and Electronic Engineering - Published
- 2022
42. Performance of steel beam with welded top-seat angle connections at elevated temperatures
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Abbas Rezaeian, Mona Mansoori, and Amin Khajehdezfuly
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Mechanics of Materials ,Mechanical Engineering ,Safety, Risk, Reliability and Quality - Abstract
PurposeTop-seat angle connection is known as one of the usual uncomplicated beam-to-column joints used in steel structures. This article investigates the fire performance of welded top-seat angle connections.Design/methodology/approachA finite element (FE) model, including nonlinear contact interactions, high-temperature properties of steel, and material and geometric nonlinearities was created for accomplishing the fire performance analysis. The FE model was verified by comparing its simulation results with test data. Using the verified model, 24 steel-framed top-seat angle connection assemblies are modeled. Parametric studies were performed employing the verified FE model to study the influence of critical factors on the performance of steel beams and their welded angle joints.FindingsThe results obtained from the parametric studies illustrate that decreasing the gap size and the top angle size and increasing the top angles thickness affect fire behavior of top-seat angle joints and decrease the beam deflection by about 16% at temperatures beyond 570 °C. Also, the fire-resistance rating of the beam with seat angle stiffener increases about 15%, compared to those with and without the web stiffener. The failure of the beam happens when the deflections become more than span/30 at temperatures beyond 576 °C. Results also show that load type, load ratio and axial stiffness levels significantly control the fire performance of the beam with top-seat angle connections in semi-rigid steel frames.Originality/valueDevelopment of design methodologies for these joints and connected beam in fire conditions is delayed by current building codes due to the lack of adequate understanding of fire behavior of steel beams with welded top-seat angle connections.
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- 2023
43. Feature Fusion and NRML Metric Learning for Facial Kinship Verification
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Fahimeh Ramazankhani, Mahdi Yazdian-Dehkord, and Mehdi Rezaeian
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General Computer Science ,kinship verification ,feature fusion ,metric learning ,facial analysis ,NRML metric learning ,Theoretical Computer Science - Abstract
Features extracted from facial images are used in various fields such as kinship verification. The kinship verification system determines the kin or non-kin relation between a pair of facial images by analysing their facial features. In this research, different texture and color features have been used along with the metric learning method, to verify the kinship for the four kinship relations of father-son, father-daughter, mother-son and mother-daughter. First, by fusing effective features, NRML metric learning used to generate the discriminative feature vector, then SVM classifier used to verify to kinship relations. To measure the accuracy of the proposed method, KinFaceW-I and KinFaceW-II databases have been used. The results of the evaluations show that the feature fusion and NRML metric learning methods have been able to improve the performance of the kinship verification system. In addition to the proposed approach, the effect of feature extraction from the image blocks or the whole image is investigated and the results are presented. The results indicate that feature extraction in block form, can be effective in improving the final accuracy of kinship verification.
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- 2023
44. Cost-effectiveness of remdesivir for the treatment of hospitalized patients with COVID-19: a systematic review
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Aziz Rezapour, Zahra Behroozi, Mostafa Nasirzadeh, Mohsen Rezaeian, Mohammad Barzegar, Mahsa Tashakori-Miyanroudi, Abdollah Sayyad, and Aghdas Souresrafil
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Infectious Diseases ,Public Health, Environmental and Occupational Health ,General Medicine - Abstract
Background Remdesivir is being studied and used to treat coronavirus disease 2019 (COVID-19). This study aimed to systematically identify, critically evaluate, and summarize the findings of the studies on the cost-effectiveness of remdesivir in the treatment of hospitalized patients with COVID-19. Methods In this systematic review, PubMed, EMBASE, Web of Science, SCOPUS, and the Cochrane Library were searched for studies published between 2019 and 2022. We included all full economic evaluations of remdesivir for the treatment of hospitalized patients with COVID-19. Data were summarized in a structured and narrative manner. Results Out of 616 articles obtained in this literature search, 12 studies were included in the final analysis. The mean score of the Quality of Health Economic Studies (QHES) for the studies was 87.66 (high quality). All studies were conducted in high-income countries (eight studies in the USA and one study in England), except for three studies from middle-to-high-income countries (China, South Africa, and Turkey). Six studies conducted their economic analysis in terms of a health system perspective; five studies conducted their economic analysis from a payer perspective; three studies from the perspective of a health care provider. The results of five studies showed that remdesivir was cost-effective compared to standard treatment. Furthermore, the therapeutic strategy of combining remdesivir with baricitinib was cost-effective compared to remdesivir alone. Conclusions Based on the results of the present study, remdesivir appears to be cost-effective in comparison with the standard of care in China, Turkey, and South Africa. Studies conducted in the United States show conflicting results, and combining remdesivir with baricitinib is cost-effective compared with remdesivir alone. However, the cost-effectiveness of remdesivir in low-income countries remains unknown. Thus, more studies in different countries are required to determine the cost-effectiveness of this drug.
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- 2023
45. Antibiotic resistance and enterotoxin gene profiles of Staphylococcus aureus isolated from raw milk in Iran
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Shariatifar, M, Salavati-Hamedani, M, Rezaeian-Doloei, R, Rezaeigolestani, M, and Mohsenzadeh, M
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Staphylococcus aureus ,PCR ,raw milk ,Antibiotic resistance ,enterotoxin - Abstract
Staphylococcus aureus is a food-borne pathogen frequently isolated from raw milk in different parts of the world. The emergence of antibiotic resistant strains of S. aureushas become an important global public health issue. In spite of this problem, the contamination rate of raw milk with enterotoxigenic antibiotic resistant S. aureus strains has been rarely evaluated in Iran. This study aimed to evaluate the prevalence and antibiotic resistance of coagulase positive S. aureus strains isolated from bulk tank milk samples in Mashhad, and to analyze the frequency of genes encoding the staphylococcal enterotoxins (SEs). 250 milk samples were tested for S. aureus by the conventional plating method and PCR. The disc diffusion method was used to assess the antibiotic susceptibility of the isolated S. aureus. Finally, the frequency of the SEs encoding genes was determined by the PCR method. S. aureus was detected in 18.4% of the tested milk samples at mean concentrations of 3.5 × 105 CFU/ml. The results showed that 86.95% of the isolates were resistant to at least one antibiotic and the highest resistance was observed against penicillin, ampicillin and methicillin. In total, 71.74% of the studied bacteria had at least one of the SEs encoding genes, and sec and sea genes were the most prevalent ones. In conclusion, the prevalence of enterotoxigenic antibiotic-resistant S. aureus in the milk samples collected from Mashhad dairy farms proves that additional efforts must be devoted to implementing hygienic processes in dairy farms and controlling antibiotic usage as well.
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- 2023
46. Prevalence of suicidal behaviour among students living in Muslim-majority countries: systematic review and meta-analysis
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S. M. Yasir Arafat, Anuradha Baminiwatta, Vikas Menon, Rakesh Singh, Natarajan Varadharajan, Saptarshi Guhathakurta, Rameez Ali Mahesar, and Mohsen Rezaeian
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Psychiatry and Mental health - Abstract
Background Assessing suicidal behaviours among students would help to understand the burden and enhance suicide prevention. Aims We aimed to determine the prevalence of suicidal behaviour among students living in Muslim-majority countries. Method We followed Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines. A systematic search was conducted in Medline, EMBASE and PsycINFO. Meta-analyses were performed to pool the lifetime, 1-year and point prevalence rates for suicidal ideation, plans and attempts. Results From 80 studies, 98 separate samples were included in this analysis. The majority (n = 49) were from the Eastern Mediterranean, and 61 samples were of university students. The pooled prevalence of suicidal ideation was 21.9% (95% CI 17.4%–27.1%) for lifetime, 13.4% (95% CI 11.1%–16.1%) for the past year and 6.4% (95% CI 4.5%–9%) for current. The pooled prevalence of suicide plans was 6.4% (95% CI 3.7%–11%) for lifetime, 10.7% (95% CI 9.1%–12.4%) for the past year and 4.1% (95% CI 2.7%–6.2%) for current. The pooled prevalence of suicide attempts was 6.6% (95% CI 5.4%–8%) for lifetime and 4.9% (95% CI 3.6%–6.5%) for the past year. The lifetime prevalence of suicidal ideation was highest (46.2%) in South-East Asia, but the 12-month prevalence was highest (16.8%) in the Eastern Mediterranean. Conclusions The study revealed notably high rates of suicidal behaviours among students living in Muslim-majority countries. However, the quality of studies, differences in regional and cultural factors, stages of studentship and methods of measurement should be considered when generalising the study results.
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- 2023
47. Injectable In-Situ Forming Depot Based on PLGA and PLGA-PEG-PLGA for Sustained-Release of Risperidone: In Vitro Evaluation and Pharmacokinetics in Rabbits
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Seyedeh Nesa Rezaeian Shiadeh, Farzin Hadizadeh, Elham Khodaverdi, Mahmoud Gorji Valokola, Saleh Rakhshani, Hossein Kamali, and Ali Nokhodchi
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risperidone ,PLGA ,PLGA-PEG-PLGA ,Risperdal CONSTA® ,ISFI ,ISFG ,Pharmaceutical Science - Abstract
In the current research, novel drug delivery systems based on in situ forming gel (ISFG) (PLGA-PEG-PLGA) and in situ forming implant (ISFI) (PLGA) were developed for one-month risperidone delivery. In vitro release evaluation, pharmacokinetics, and histopathology studies of ISFI, ISFG, and Risperdal CONSTA® were compared in rabbits. Formulation containing 50% (w/w %) of PLGA-PEG-PLGA triblock revealed sustained release for about one month. Scanning electron microscopy (SEM) showed a porous structure for ISFI, while a structure with fewer pores was observed in the triblock. Cell viability in ISFG formulation in the first days was more than ISFI due to the gradual release of NMP to the release medium. Pharmacokinetic data displayed that optimal PLGA-PEG-PLGA creates a consistent serum level in vitro and in vivo through 30 days, and histopathology results revealed nearly slight to moderate pathological signs in the rabbit’s organs. The shelf life of the accelerated stability test didn’t affect the results of the release rate test and demonstrated stability in 24 months. This research confirms the better potential of the ISFG system compared with ISFI and Risperdal CONSTA®, which would increase patients’ compliance and avoid problems of further oral therapy.
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- 2023
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48. Supplementary Data from Therapeutic Potential of the miRNA–ATM Axis in the Management of Tumor Radioresistance
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George A. Calin, Hashem Khanbabaei, and Abdol-Hossein Rezaeian
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S Table 1
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- 2023
49. Data from Therapeutic Potential of the miRNA–ATM Axis in the Management of Tumor Radioresistance
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George A. Calin, Hashem Khanbabaei, and Abdol-Hossein Rezaeian
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The ataxia-telangiectasia mutated (ATM) protein kinase is widely known for its function as a chief mobilizer of the DNA damage response (DDR) upon DNA double-strand breaks. ATM orchestrates the DDR by modulating the expression of various miRNAs through several mechanisms. On the other hand, a set of miRNAs contribute to tight regulation of ATM by directly targeting the 3′-untranslated region of ATM mRNA. This review addresses the therapeutic application and molecular mechanisms that underlie the intricate interactions between miRNAs and ATM. It also describes therapeutic delivery of miRNAs in different environments such as hypoxic tumor microenvironments.
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- 2023
50. Gastrointestinal Parasites of Domestic Mammalian Hosts in Southeastern Iran
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Kareem Hatam-Nahavandi, David Carmena, Mostafa Rezaeian, Hamed Mirjalali, Hanieh Mohammad Rahimi, Milad Badri, Aida Vafae Eslahi, Farzaneh Faraji Shahrivar, Sonia M. Rodrigues Oliveira, Maria de Lourdes Pereira, Ehsan Ahmadpour, Iranshahr University (Irán), and Fundação para a Ciência e Tecnologia (Portugal)
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Camel ,Sheep ,General Veterinary ,Donkey ,Dog ,Goat ,cattle ,camel ,donkey ,sheep ,goat ,dog ,Giardia duodenalis ,Eimeria spp ,Entamoeba spp ,Trichuris spp ,Cattle - Abstract
Gastrointestinal parasites (GIP) are a major cause of disease and production loss in livestock. Some have zoonotic potential, so production animals can be a source of human infections. We describe the prevalence of GIP in domestic mammals in Southeastern Iran. Fresh fecal samples (n = 200) collected from cattle (n = 88), sheep (n = 50), goats (n = 23), camels (n = 30), donkeys (n = 5), horse (n = 1), and dogs (n = 3) were subjected to conventional coprological examination for the detection of protozoan (oo)cysts and helminth ova. Overall, 83% (166/200) of the samples were positive for one or more GIP. Helminths were found in dogs, donkeys, sheep (42%), camels (37%), goats (30%), and cattle (19%), but not in the horse. Protozoa were found in cattle (82%), goats (78%), sheep (60%), and camels (13%), but not in donkeys, dogs, or the horse. Lambs were 3.5 times more likely to be infected by protozoa than sheep (OR = 3.5, 95% CI: 1.05-11.66), whereas sheep were at higher odds of being infected by helminths than lambs (OR = 4.09, 95% CI: 1.06-16.59). This is the first study assessing the prevalence of GIP in domestic mammals in Southeastern Iran. This research was funded by the Office of Vice-chancellor for Research of Iranshahr University of Medical Sciences (Grant No. 9900039) and within the scope of the project CICECOAveiro Institute of Materials, UIDB/50011/2020, UIDP/50011/2020 & LA/P/0006/2020, financed by national funds through the FCT/MEC (PIDDAC). Sí
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- 2023
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