188 results on '"Pakzad, R"'
Search Results
2. Effect of Smoking on Breast Cancer by Adjusting for Smoking Misclassification Bias and Confounders Using a Probabilistic Bias Analysis Method
- Author
-
Pakzad R, Nedjat S, Yaseri M, Salehiniya H, Mansournia N, Nazemipour M, and Mansournia MA
- Subjects
probabilistic bias analysis ,smoking ,breast cancer ,monte carlo sensitivity analysis ,population attributable fraction. ,Infectious and parasitic diseases ,RC109-216 - Abstract
Reza Pakzad,1 Saharnaz Nedjat,1 Mehdi Yaseri,1 Hamid Salehiniya,2 Nasrin Mansournia,3 Maryam Nazemipour,4 Mohammad Ali Mansournia1 1Department of Epidemiology and Biostatistics, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran; 2School of Public Health, Birjand University of Medical Sciences, Birjand, South Khorasan, Iran; 3Department of Endocrinology, AJA University of Medical Sciences, Tehran, Iran; 4Psychosocial Health Research Institute, Iran University of Medical Sciences, Tehran, IranCorrespondence: Mohammad Ali MansourniaDepartment of Epidemiology and Biostatistics, School of Public Health, Tehran University of Medical Sciences, Tehran, IranTel/Fax +21 88989127Email mansournia_ma@yahoo.comPurpose: The aim of this study was to determine the association between smoking and breast cancer after adjusting for smoking misclassification bias and confounders.Methods: In this case–control study, 1000 women with breast cancer and 1000 healthy controls were selected. Using a probabilistic bias analysis method, the association between smoking and breast cancer was adjusted for the bias resulting from misclassification of smoking secondary to self-reporting as well as a minimally sufficient adjustment set of confounders derived from a causal directed acyclic graph (cDAG). Population attributable fraction (PAF) for smoking was calculated using Miettinen’s formula.Results: While the odds ratio (OR) from the conventional logistic regression model between smoking and breast cancer was 0.64 (95% CI: 0.36– 1.13), the adjusted ORs from the probabilistic bias analysis were in the ranges of 2.63– 2.69 and 1.73– 2.83 for non-differential and differential misclassification, respectively. PAF ranges obtained were 1.36– 1.72% and 0.62– 2.01% using the non-differential bias analysis and differential bias analysis, respectively.Conclusion: After misclassification correction for smoking, the non-significant negative-adjusted association between smoking and breast cancer changed to a significant positive-adjusted association.Keywords: probabilistic bias analysis, smoking, breast cancer, Monte Carlo sensitivity analysis, population attributable fraction
- Published
- 2020
3. Numerical Simulation of Hydraulic Fracturing in Low-/High-Permeability, Quasi-Brittle and Heterogeneous Rocks
- Author
-
Pakzad, R., Wang, S. Y., and Sloan, S. W.
- Published
- 2018
- Full Text
- View/download PDF
4. Bacterial coinfection among coronavirus disease 2019 patient groups: an updated systematic review and meta-analysis
- Author
-
Soltani, S., primary, Faramarzi, S., additional, Zandi, M., additional, Shahbahrami, R., additional, Jafarpour, A., additional, Akhavan Rezayat, S., additional, Pakzad, I., additional, Abdi, F., additional, Malekifar, P., additional, and Pakzad, R., additional
- Published
- 2021
- Full Text
- View/download PDF
5. Brittle Fracture Analysis Using a Ring-Shape Specimen Containing Two Angled Cracks
- Author
-
Aliha, M. R. M., Ayatollahi, M. R., and Pakzad, R.
- Published
- 2008
- Full Text
- View/download PDF
6. The association between metabolic syndrome and its components with systemic lupus erythematosus: a comprehensive systematic review and meta-analysis of observational studies
- Author
-
Hallajzadeh, J, primary, Khoramdad, M, additional, Izadi, N, additional, Karamzad, N, additional, Almasi-Hashiani, A, additional, Ayubi, E, additional, Qorbani, M, additional, Pakzad, R, additional, Sullman, M J M, additional, and Safiri, S, additional
- Published
- 2018
- Full Text
- View/download PDF
7. Numerical Simulation of Hydraulic Fracturing in Low-/High-Permeability, Quasi-Brittle and Heterogeneous Rocks
- Author
-
Pakzad, R., primary, Wang, S. Y., additional, and Sloan, S. W., additional
- Published
- 2017
- Full Text
- View/download PDF
8. “Influence of possible predictor variables on the outcome of primary oral squamous cell carcinoma: a retrospective study of 392 consecutive cases at a single centre”— methodological issues
- Author
-
Pakzad, R., primary and Safiri, S., additional
- Published
- 2017
- Full Text
- View/download PDF
9. Cerebrospinal fluid cytotoxicity does not affect survival in amyotrophic lateral sclerosis; Methodological issues
- Author
-
Pakzad, R., primary and Safiri, S., additional
- Published
- 2017
- Full Text
- View/download PDF
10. Multiscale fuzzy modeling and Mathematical problems Related To Tumor Evolution and Medical Therapy
- Author
-
Pakzad, R., primary, Keshavarz, M., additional, and Pakzad, M., additional
- Published
- 2016
- Full Text
- View/download PDF
11. A Comprehensive Study on Crack Tip Parameters of Modified Ring Specimen for Mixed-Mode Fracture Toughness Tests on Brittle Materials
- Author
-
Pakzad, R., primary and Ayatollahi, M. R., additional
- Published
- 2015
- Full Text
- View/download PDF
12. Scanning electron-microscopic study of sperm retention and migration in the vagino-cervical region of the rabbit
- Author
-
Pakzad, R. and Paufler, S.
- Published
- 1982
- Full Text
- View/download PDF
13. Numerical Analyses of a Cracked Straight-Through Flattened Brazilian Disk Specimen under Mixed-Mode Loading
- Author
-
Aliha, M. R. M., primary, Pakzad, R., additional, and Ayatollahi, M. R., additional
- Published
- 2014
- Full Text
- View/download PDF
14. Effect of education on the knowledge of health care workers about blood products, blood administration, and transfusion complicationss.
- Author
-
Sabzehkar, F., Yaghoobi, M., Pakzad, R., Charkhat-Gorgij, E. A., Shirzaie, K., and Salehiniya, H.
- Subjects
MEDICAL education ,BLOOD transfusion ,RED blood cell transfusion ,MEDICAL care ,PATIENTS ,SERIAL publications ,HEALTH literacy - Abstract
Background and Objectives Blood transfusion is an important treatment procedure. Transfusion processes and procedures could be effective only if those involved have the adequate level of awareness about transfusion medicine. Therefore, the present study aimed to evaluate the effect of education on the knowledge of health care workers about blood products, blood administration, and complications of transfusion. Materials and Methods This quasi-experimental study was conducted on 133 hospital staff. The data were collected by the valid and reliable questionnaire. Two training workshops on the blood collection, storage, and possible side effects of blood transfusion acted as the intervention. The data were analyzed by SPSS18 software, paired t-test, and descriptive statistics. Results The knowledge of health care workers in the field of blood transfusion was inappropriate; 36.1% of the participants were poor and 63.9% average. The results showed the intervention has a significant effect on the staff knowledge (the knowledge scores before and after the intervention were 10.65 and 13.59, respectively) which was statistically significant (p=0.0001). Conclusions The results show that the improvement of education in the area of transfusion medicine would improve the awareness of hospital staff. Therefore, periodical educational programs and publication of educational pamphlets are highly recommended for the hospital staff involved in blood transfusion. [ABSTRACT FROM AUTHOR]
- Published
- 2015
15. EMC consideration for control signal in high voltage substation
- Author
-
Faghihi, F., primary, Sehatkar, M., additional, Pakzad, R., additional, and Faghihi, F., additional
- Published
- 2005
- Full Text
- View/download PDF
16. A Comprehensive Study on Crack Tip Parameters of Modified Ring Specimen for Mixed-Mode Fracture Toughness Tests on Brittle Materials
- Author
-
Pakzad, R. and Ayatollahi, M. R.
- Abstract
Modified ring (MR) specimen was suggested for investigating the mixed-mode (I/II) fracture behavior of brittle materials by rotating the crack orientation with respect to the loading direction. Crack tip fracture parameters (KI, KII, and Tstress) of MR were calculated for different geometric dimensions. To verify the numerical modeling procedure, two sets of comparisons were drawn between the results of prior studies on MR Mode Ifracture behavior and those of this study, showing good agreement between the results. Through some graphs, the effects of geometric parameters on YI, YII, and T*(dimensionless crack tip parameters) and also on βII(pure Mode IIcrack angle) were studied. In addition, the biaxiality ratio (B), as an influential factor in the generalized maximum tangential stress (GMTS) criterion, was calculated for the whole range of mode mixity in the MR specimens. Next, fracture behavior of the specimen was discussed by means of the GMTS criterion in terms of the results obtained for the biaxiality ratio (B). At the end, as an appendix, the entire results obtained for YI, YII, T*, and βIIwere presented.
- Published
- 2016
- Full Text
- View/download PDF
17. Establishing normal ranges of hematological parameters from an Iranian healthy population: A population-based cross-sectional study of hospital data
- Author
-
Koochakzadeh, L., Mahbod, M., Pakzad, R., Jafari, D., Fahimeh Khoshhal, Yekta, A., and Khabazkhoob, M.
- Subjects
Ophthalmology ,lcsh:R5-920 ,Iranian population ,Adults ,Reference range ,Hematological parameters ,lcsh:Medicine (General) - Abstract
Measurement of hematological parameters and their reference ranges play an important role in the diagnosis and treatment of many infectious diseases and cancers. However, there are marked differences in the reference ranges between developing and developed countries. The aim of this study was to establish reference ranges of hematological parameters. This cross-sectional study was conducted in patients visiting Noor Eye Hospital who had no systemic diseases. In the lying position, blood samples were collected in two test tubes (Becton Dickinson Ltd, UK) using the Venoject method. EDTA-containing blood samples were used for complete blood count and differential leukocyte count using a cell counter (Nihdon Kohden Celltac E, Japan). Descriptive statistics, t-test, and ANOVA were used for data analysis. The data of 46,595 individuals were analyzed of whom 47.3% (n=22,042) were men. The mean (95% confidence interval) of white blood cells (WBC), red blood cells (RBC), platelet, and Hemoglobin (Hb) was 6.68 (6.66-6.69), 4.83 (4.83-4.84), 238.40 (237.87-238.93), and 14.29 (14.27-14.30), respectively. There was no difference in hematological parameters between male and female subjects. Except for the platelet count that was higher in individuals below 18 years than those 18-64 years and ≥65 years, other parameters had no relationship with age. Normal values of hematological parameters in the Iranian population are similar to the Middle East and African countries but below standard reference values. Except for the platelet count that decreased with age, there was no significant difference in hematologic and immunologic parameters between age and sex groups. Considering the difference between our results and standard reference values, we suggest that normal values be determined locally for each country.
18. Efficient differentiation of human induced pluripotent stem cell (hiPSC) derived hepatocyte-like cells on hMSCs feeder
- Author
-
Mobarra, N., Soleimani, M., Kouhkan, F., Hesari, Z., Lahmy, R., Mossahebi-Mohammadi, M., Arefian, E., Jaafarpour, Z., Nasiri, H., Pakzad, R., Tavakoli, R., and parvin pasalar
- Subjects
Bone marrow mesenchymal stem cells ,Induced pluripotent stem cells ,Hepatocyte-like Cells ,Original Article ,lcsh:Neoplasms. Tumors. Oncology. Including cancer and carcinogens ,lcsh:RC254-282 - Abstract
Background The use of stem cells is considered as an appropriate source in cell therapy and tissue engineering. Differentiation of human induced Pluripotent Stem Cells (hiPSCs) to Hepatocyte-like Cells (HLCs) on mouse embryonic fibroblasts (MEFs) feeders is confronted with several problems that hinder the clinical applications of these differentiated cells for the treatment of liver injuries. Safe appropriate cells for stem cell-based therapies could create new hopes for liver diseases. This work focused on the determination of a capacity/efficiency for the differentiation of the hiPSCs into Hepatocyte-like Cells on a novel human adult bone marrow mesenchymal stem cells (hMSCs) feeder. Materials and Methods Undifferentiated human iPSCs were cultured on mitotically inactivated human adult bone marrow mesenchymal stem cells. A three-step differentiation process has been performed in presence of activin A which added for 3 days to induce a definitive endoderm formation. In the second step, medium was exchanged for six days. Subsequently, cells were treated with oncostatin M plus dexamethasone for 9 days to generate hepatic cells. Endodermic and liver-specific genes were assessed via quantitative reverse transcription-polymerase chain reaction and RT-PCR, moreover, immunocytochemical staining for liver proteins including albumin and alpha-fetoprotein. In addition, functional tests for glycogen storage, oil red examination, urea production and alpha-fetoprotein synthesis, as well as, cells differentiated with a hepatocyte-like morphology was also performed. Results Our results show that inactivated human adult bone marrow mesenchymal stem cell feeders could support the efficient differentiation of hiPSCs into HLCs. This process induced differentiation of iPSCs into definitive endocrine cells that expressed sox17, foxa2 and expression of the specific genes profiles in hepatic-like cells. In addition, immunocytochemical analysis confirmed albumin and alpha-fetoprotein protein expression, as well as, the hiPSCs-derived Hepatocyte-like Cells on human feeder exhibited a typical morphology. Conclusions we suggested a successful and efficient culture for differentiation and maturation of hepatocytes on an alternative human feeders; this is an important step to generate safe and functional hepatocytes that is vital for regenerative medicine and transplantation on the cell-based therapies.
19. Pulmonary Functions and Health-Related Quality of Life among Silica-Exposed Workers
- Author
-
Mohammadi, H., Dehghan, S. F., Golbabaei, F., Roshani, S., Pakzad, R., Foroughi, P., and Roohalah Hajizadeh
20. 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
-
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
- Subjects
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
- Published
- 2022
21. Age–sex differences in the global burden of lower respiratory infections and risk factors, 1990–2019: results from the Global Burden of Disease Study 2019
- Author
-
Hmwe Hmwe Kyu, Avina Vongpradith, Sarah Brooke Sirota, Amanda Novotney, Christopher E Troeger, Matthew C Doxey, Rose G Bender, Jorge R Ledesma, Molly H Biehl, Samuel B Albertson, Joseph Jon Frostad, Katrin Burkart, Fiona B Bennitt, Jeff T Zhao, William M Gardner, Hailey Hagins, Dana Bryazka, Regina-Mae Villanueva Dominguez, Semagn Mekonnen Abate, Michael Abdelmasseh, Amir Abdoli, Gholamreza Abdoli, Aidin Abedi, Vida Abedi, Tadesse M Abegaz, Hassan Abidi, Richard Gyan Aboagye, Hassan Abolhassani, Yonas Derso Abtew, Hiwa Abubaker Ali, Eman Abu-Gharbieh, Ahmed Abu-Zaid, Kidist Adamu, Isaac Yeboah Addo, Oyelola A Adegboye, Mohammad Adnan, Qorinah Estiningtyas Sakilah Adnani, Muhammad Sohail Afzal, Saira Afzal, Bright Opoku Ahinkorah, Aqeel Ahmad, Araz Ramazan Ahmad, Sajjad Ahmad, Ali Ahmadi, Sepideh Ahmadi, Haroon Ahmed, Jivan Qasim Ahmed, Tarik Ahmed Rashid, Mostafa Akbarzadeh-Khiavi, Hanadi Al Hamad, Luciana Albano, Mamoon A Aldeyab, Bezatu Mengistie Alemu, Kefyalew Addis Alene, Abdelazeem M Algammal, Fadwa Alhalaiqa Naji Alhalaiqa, Robert Kaba Alhassan, Beriwan Abdulqadir Ali, Liaqat Ali, Musa Mohammed Ali, Syed Shujait Ali, Yousef Alimohamadi, Vahid Alipour, Adel Al-Jumaily, Syed Mohamed Aljunid, Sami Almustanyir, Rajaa M Al-Raddadi, Rami H Hani Al-Rifai, Saif Aldeen S AlRyalat, Nelson Alvis-Guzman, Nelson J Alvis-Zakzuk, Edward Kwabena Ameyaw, Javad Javad Aminian Dehkordi, John H Amuasi, Dickson A Amugsi, Etsay Woldu Anbesu, Adnan Ansar, Anayochukwu Edward Anyasodor, Jalal Arabloo, Demelash Areda, Ayele Mamo Argaw, Zeleke Gebru Argaw, Judie Arulappan, Raphael Taiwo Aruleba, Mulusew A Asemahagn, Seyyed Shamsadin Athari, Daniel Atlaw, Engi F Attia, Sameh Attia, Avinash Aujayeb, Tewachew Awoke, Tegegn Mulatu Ayana, Martin Amogre Ayanore, Sina Azadnajafabad, Mohammadreza Azangou-Khyavy, Samad Azari, Amirhossein Azari Jafari, Muhammad Badar, Ashish D Badiye, Nayereh Baghcheghi, Sara Bagherieh, Atif Amin Baig, Maciej Banach, Indrajit Banerjee, Mainak Bardhan, Francesco Barone-Adesi, Hiba Jawdat Barqawi, Amadou Barrow, Azadeh Bashiri, Quique Bassat, Abdul-Monim Mohammad Batiha, Abate Bekele Belachew, Melaku Ashagrie Belete, Uzma Iqbal Belgaumi, Akshaya Srikanth Bhagavathula, Nikha Bhardwaj, Pankaj Bhardwaj, Parth Bhatt, Vijayalakshmi S Bhojaraja, Zulfiqar A Bhutta, Soumitra S Bhuyan, Ali Bijani, Saeid Bitaraf, Belay Boda Abule Bodicha, Nikolay Ivanovich Briko, Danilo Buonsenso, Muhammad Hammad Butt, Jiao Cai, Paulo Camargos, Luis Alberto Cámera, Promit Ananyo Chakraborty, Muluken Genetu Chanie, Jaykaran Charan, Vijay Kumar Chattu, Patrick R Ching, Sungchul Choi, Yuen Yu Chong, Sonali Gajanan Choudhari, Enayet Karim Chowdhury, Devasahayam J Christopher, Dinh-Toi Chu, Natalie L Cobb, Aaron J Cohen, Natália Cruz-Martins, Omid Dadras, Fentaw Teshome Dagnaw, Xiaochen Dai, Lalit Dandona, Rakhi Dandona, An Thi Minh Dao, Sisay Abebe Debela, Biniyam Demisse, Fitsum Wolde Demisse, Solomon Demissie, Diriba Dereje, Hardik Dineshbhai Desai, Abebaw Alemayehu Desta, Belay Desye, Sameer Dhingra, Nancy Diao, Daniel Diaz, Lankamo Ena Digesa, Linh Phuong Doan, Milad Dodangeh, Deepa Dongarwar, Fariba Dorostkar, Wendel Mombaque dos Santos, Haneil Larson Dsouza, Eleonora Dubljanin, Oyewole Christopher Durojaiye, Hisham Atan Edinur, Elham Ehsani-Chimeh, Ebrahim Eini, Michael Ekholuenetale, Temitope Cyrus Ekundayo, Eman D El Desouky, Iman El Sayed, Maysaa El Sayed Zaki, Muhammed Elhadi, Ahmed Mahmoud Rabie Elkhapery, Amir Emami, Luchuo Engelbert Bain, Ryenchindorj Erkhembayar, Farshid Etaee, Mohamad Ezati Asar, Adeniyi Francis Fagbamigbe, Shahab Falahi, Aida Fallahzadeh, Anwar Faraj, Emerito Jose A Faraon, Ali Fatehizadeh, Pietro Ferrara, Allegra Allegra Ferrari, Getahun Fetensa, Florian Fischer, Joanne Flavel, Masoud Foroutan, Peter Andras Gaal, Abhay Motiramji Gaidhane, Santosh Gaihre, Nasrin Galehdar, Alberto L Garcia-Basteiro, Tushar Garg, Mesfin Damtew Gebrehiwot, Mathewos Alemu Gebremichael, Yibeltal Yismaw Gela, Belete Negese Belete Gemeda, Bradford D Gessner, Melaku Getachew, Asmare Getie, Seyyed-Hadi Ghamari, Mohammad Ghasemi Nour, Ahmad Ghashghaee, Ali Gholamrezanezhad, Abdolmajid Gholizadeh, Rakesh Ghosh, Sherief Ghozy, Pouya Goleij, Mohamad Golitaleb, Giuseppe Gorini, Alessandra C Goulart, Girma Garedew Goyomsa, Habtamu Alganeh Guadie, Zewdie Gudisa, Rashid Abdi Guled, Sapna Gupta, Veer Bala Gupta, Vivek Kumar Gupta, Alemu Guta, Parham Habibzadeh, Arvin Haj-Mirzaian, Rabih Halwani, Samer Hamidi, Md Abdul Hannan, Mehdi Harorani, Ahmed I Hasaballah, Hamidreza Hasani, Abbas M Hassan, Shokoufeh Hassani, Hossein Hassanian-Moghaddam, Hadi Hassankhani, Khezar Hayat, Behzad Heibati, Mohammad Heidari, Demisu Zenbaba Heyi, Kamal Hezam, Ramesh Holla, Sung Hwi Hong, Nobuyuki Horita, Mohammad-Salar Hosseini, Mehdi Hosseinzadeh, Mihaela Hostiuc, Mowafa Househ, Soodabeh Hoveidamanesh, Junjie Huang, Nawfal R Hussein, Ivo Iavicoli, Segun Emmanuel Ibitoye, Kevin S Ikuta, Olayinka Stephen Ilesanmi, Irena M Ilic, Milena D Ilic, Mustapha Immurana, Nahlah Elkudssiah Ismail, Masao Iwagami, Jalil Jaafari, Elham Jamshidi, Sung-In Jang, Amirreza Javadi Mamaghani, Tahereh Javaheri, Fatemeh Javanmardi, Javad Javidnia, Sathish Kumar Jayapal, Umesh Jayarajah, Shubha Jayaram, Alelign Tasew Jema, Wonjeong Jeong, Jost B Jonas, Nitin Joseph, Farahnaz Joukar, Jacek Jerzy Jozwiak, Vaishali K, Zubair Kabir, Salah Eddine Oussama Kacimi, Vidya Kadashetti, Laleh R Kalankesh, Rohollah Kalhor, Ashwin Kamath, Bhushan Dattatray Kamble, Himal Kandel, Tesfaye K Kanko, Ibraheem M Karaye, André Karch, Samad Karkhah, Bekalu Getnet Kassa, Patrick DMC Katoto, Harkiran Kaur, Rimple Jeet Kaur, Leila Keikavoosi-Arani, Mohammad Keykhaei, Yousef Saleh Khader, Himanshu Khajuria, Ejaz Ahmad Khan, Gulfaraz Khan, Imteyaz A Khan, Maseer Khan, Md Nuruzzaman Khan, Moien AB Khan, Yusra H Khan, Moawiah Mohammad Khatatbeh, Mina Khosravifar, Jagdish Khubchandani, Min Seo Kim, Ruth W Kimokoti, Adnan Kisa, Sezer Kisa, Niranjan Kissoon, Luke D Knibbs, Sonali Kochhar, Farzad Kompani, Hamid Reza Koohestani, Vladimir Andreevich Korshunov, Soewarta Kosen, Parvaiz A Koul, Ai Koyanagi, Kewal Krishan, Barthelemy Kuate Defo, G Anil Kumar, Om P Kurmi, Ambily Kuttikkattu, Dharmesh Kumar Lal, Judit Lám, Iván Landires, Caterina Ledda, Sang-woong Lee, Miriam Levi, Sonia Lewycka, Gang Liu, Wei Liu, Rakesh Lodha, László Lorenzovici, Mojgan Lotfi, Joana A Loureiro, Farzan Madadizadeh, Ata Mahmoodpoor, Razzagh Mahmoudi, Marzieh Mahmoudimanesh, Jamal Majidpoor, Alaa Makki, Elaheh Malakan Rad, Ahmad Azam Malik, Tauqeer Hussain Mallhi, Yosef Manla, Clara N Matei, Alexander G Mathioudakis, Richard James Maude, Entezar Mehrabi Nasab, Addisu Melese, Ziad A Memish, Oliver Mendoza-Cano, Alexios-Fotios A Mentis, Tuomo J Meretoja, Mehari Woldemariam Merid, Tomislav Mestrovic, Ana Carolina Micheletti Gomide Nogueira de Sá, Gelana Fekadu Worku Mijena, Le Huu Nhat Minh, Shabir Ahmad Mir, Reza Mirfakhraie, Seyyedmohammadsadeq Mirmoeeni, Agha Zeeshan Mirza, Moonis Mirza, Mohammad Mirza-Aghazadeh-Attari, Abay Sisay Misganaw, Awoke Temesgen Misganaw, Esmaeil Mohammadi, Mokhtar Mohammadi, Arif Mohammed, Shafiu Mohammed, Syam Mohan, Mohammad Mohseni, Nagabhishek Moka, Ali H Mokdad, Sara Momtazmanesh, Lorenzo Monasta, Md Moniruzzaman, Fateme Montazeri, Catrin E Moore, Abdolvahab Moradi, Lidia Morawska, Jonathan F Mosser, Ebrahim Mostafavi, Majid Motaghinejad, Haleh Mousavi Isfahani, Seyed Ali Mousavi-Aghdas, Sumaira Mubarik, Efrén Murillo-Zamora, Ghulam Mustafa, Sanjeev Nair, Tapas Sadasivan Nair, Houshang Najafi, Atta Abbas Naqvi, Sreenivas Narasimha Swamy, Zuhair S Natto, Biswa Prakash Nayak, Seyed Aria Nejadghaderi, Huy Van Nguyen Nguyen, Robina Khan Niazi, Antonio Tolentino Nogueira de Sá, Hasti Nouraei, Ali Nowroozi, Virginia Nuñez-Samudio, Chimezie Igwegbe Nzoputam, Ogochukwu Janet Nzoputam, Bogdan Oancea, Chimedsuren Ochir, Oluwakemi Ololade Odukoya, Hassan Okati-Aliabad, Akinkunmi Paul Okekunle, Osaretin Christabel Okonji, Andrew T Olagunju, Isaac Iyinoluwa Olufadewa, Ahmed Omar Bali, Emad Omer, Eyal Oren, Erika Ota, Nikita Otstavnov, Abderrahim Oulhaj, Mahesh P A, Jagadish Rao Padubidri, Keyvan Pakshir, Reza Pakzad, Tamás Palicz, Anamika Pandey, Suman Pant, Shahina Pardhan, Eun-Cheol Park, Eun-Kee Park, Fatemeh Pashazadeh Kan, Rajan Paudel, Shrikant Pawar, Minjin Peng, Gavin Pereira, Simone Perna, Navaraj Perumalsamy, Ionela-Roxana Petcu, David M Pigott, Zahra Zahid Piracha, Vivek Podder, Roman V Polibin, Maarten J Postma, Hamid Pourasghari, Naeimeh Pourtaheri, Mirza Muhammad Fahd Qadir, Mathieu Raad, Mohammad Rabiee, Navid Rabiee, Saber Raeghi, Alireza Rafiei, Fakher Rahim, Mehran Rahimi, Vafa Rahimi-Movaghar, Azizur Rahman, Md Obaidur Rahman, Mosiur Rahman, Muhammad Aziz Rahman, Amir Masoud Rahmani, Vahid Rahmanian, Pradhum Ram, Kiana Ramezanzadeh, Juwel Rana, Priyanga Ranasinghe, Usha Rani, Sowmya J Rao, Sina Rashedi, Mohammad-Mahdi Rashidi, Azad Rasul, Zubair Ahmed Ratan, David Laith Rawaf, Salman Rawaf, Reza Rawassizadeh, Mohammad Sadegh Razeghinia, Elrashdy Moustafa Mohamed Redwan, Marissa B Reitsma, Andre M N Renzaho, Mohsen Rezaeian, Abanoub Riad, Reza Rikhtegar, Jefferson Antonio Buendia Rodriguez, Emma L B Rogowski, Luca Ronfani, Kristina E Rudd, Basema Saddik, Erfan Sadeghi, Umar Saeed, Azam Safary, Sher Zaman Safi, Maryam Sahebazzamani, Amirhossein Sahebkar, Sateesh Sakhamuri, Sana Salehi, Muhammad Salman, Hossein Samadi Kafil, Abdallah M Samy, Milena M Santric-Milicevic, Bruno Piassi Sao Jose, Maryam Sarkhosh, Brijesh Sathian, Monika Sawhney, Ganesh Kumar Saya, Abdul-Aziz Seidu, Allen Seylani, Amira A Shaheen, Masood Ali Shaikh, Elaheh Shaker, Hina Shamshad, Mequannent Melaku Sharew, Asaad Sharhani, Azam Sharifi, Purva Sharma, Ali Sheidaei, Suchitra M Shenoy, Jeevan K Shetty, Damtew Solomon Shiferaw, Mika Shigematsu, Jae Il Shin, Hesamaddin Shirzad-Aski, K M Shivakumar, Siddharudha Shivalli, Parnian Shobeiri, Wudneh Simegn, Colin R Simpson, Harpreet Singh, Jasvinder A Singh, Paramdeep Singh, Samarjeet Singh Siwal, Valentin Yurievich Skryabin, Anna Aleksandrovna Skryabina, Mohammad Sadegh Soltani-Zangbar, Suhang Song, Yimeng Song, Prashant Sood, Chandrashekhar T Sreeramareddy, Paschalis Steiropoulos, Muhammad Suleman, Seyed-Amir Tabatabaeizadeh, Alireza Tahamtan, Majid Taheri, Moslem Taheri Soodejani, Elahe Taki, Iman M Talaat, Mircea Tampa, Sarmila Tandukar, Nathan Y Tat, Vivian Y Tat, Yibekal Manaye Tefera, Gebremaryam Temesgen, Mohamad-Hani Temsah, Azene Tesfaye, Degefa Gomora Tesfaye, Belay Tessema, Rekha Thapar, Jansje Henny Vera Ticoalu, Amir Tiyuri, Imad I Tleyjeh, Munkhsaikhan Togtmol, Marcos Roberto Tovani-Palone, Derara Girma Tufa, Irfan Ullah, Era Upadhyay, Sahel Valadan Tahbaz, Pascual R Valdez, Rohollah Valizadeh, Constantine Vardavas, Tommi Juhani Vasankari, Bay Vo, Linh Gia Vu, Birhanu Wagaye, Yasir Waheed, Yu Wang, Abdul Waris, T Eoin West, Nuwan Darshana Wickramasinghe, Xiaoyue Xu, Sajad Yaghoubi, Gahin Abdulraheem Tayib Yahya, Seyed Hossein Yahyazadeh Jabbari, Dong Keon Yon, Naohiro Yonemoto, Burhan Abdullah Zaman, Alireza Zandifar, Moein Zangiabadian, Heather J Zar, Iman Zare, Zahra Zareshahrabadi, Armin Zarrintan, Mikhail Sergeevich Zastrozhin, Wu Zeng, Mengxi Zhang, Zhi-Jiang Zhang, Chenwen Zhong, Mohammad Zoladl, Alimuddin Zumla, Stephen S Lim, Theo Vos, Mohsen Naghavi, Michael Brauer, Simon I Hay, Christopher J L Murray, Kyu, H. H., Vongpradith, A., Sirota, S. B., Novotney, A., Troeger, C. E., Doxey, M. C., Bender, R. G., Ledesma, J. R., Biehl, M. H., Albertson, S. B., Frostad, J. J., Burkart, K., Bennitt, F. B., Zhao, J. T., Gardner, W. M., Hagins, H., Bryazka, D., Dominguez, R. -M. V., Abate, S. M., Abdelmasseh, M., Abdoli, A., Abdoli, G., Abedi, A., Abedi, V., Abegaz, T. M., Abidi, H., Aboagye, R. G., Abolhassani, H., Abtew, Y. D., Abubaker Ali, H., Abu-Gharbieh, E., Abu-Zaid, A., Adamu, K., Addo, I. Y., Adegboye, O. A., Adnan, M., Adnani, Q. E. S., Afzal, M. S., Afzal, S., Ahinkorah, B. O., Ahmad, A., Ahmad, A. R., Ahmad, S., Ahmadi, A., Ahmadi, S., Ahmed, H., Ahmed, J. Q., Ahmed Rashid, T., Akbarzadeh-Khiavi, M., Al Hamad, H., Albano, L., Aldeyab, M. A., Alemu, B. M., Alene, K. A., Algammal, A. M., Alhalaiqa, F. A. N., Alhassan, R. K., Ali, B. A., Ali, L., Ali, M. M., Ali, S. S., Alimohamadi, Y., Alipour, V., Al-Jumaily, A., Aljunid, S. M., Almustanyir, S., Al-Raddadi, R. M., Al-Rifai, R. H. H., Alryalat, S. A. S., Alvis-Guzman, N., Alvis-Zakzuk, N. J., Ameyaw, E. K., Aminian Dehkordi, J. J., Amuasi, J. H., Amugsi, D. A., Anbesu, E. W., Ansar, A., Anyasodor, A. E., Arabloo, J., Areda, D., Argaw, A. M., Argaw, Z. G., Arulappan, J., Aruleba, R. T., Asemahagn, M. A., Athari, S. S., Atlaw, D., Attia, E. F., Attia, S., Aujayeb, A., Awoke, T., Ayana, T. M., Ayanore, M. A., Azadnajafabad, S., Azangou-Khyavy, M., Azari, S., Azari Jafari, A., Badar, M., Badiye, A. D., Baghcheghi, N., Bagherieh, S., Baig, A. A., Banach, M., Banerjee, I., Bardhan, M., Barone-Adesi, F., Barqawi, H. J., Barrow, A., Bashiri, A., Bassat, Q., Batiha, A. -M. M., Belachew, A. B., Belete, M. A., Belgaumi, U. I., Bhagavathula, A. S., Bhardwaj, N., Bhardwaj, P., Bhatt, P., Bhojaraja, V. S., Bhutta, Z. A., Bhuyan, S. S., Bijani, A., Bitaraf, S., Bodicha, B. B. A., Briko, N. I., Buonsenso, D., Butt, M. H., Cai, J., Camargos, P., Camera, L. A., Chakraborty, P. A., Chanie, M. G., Charan, J., Chattu, V. K., Ching, P. R., Choi, S., Chong, Y. Y., Choudhari, S. G., Chowdhury, E. K., Christopher, D. J., Chu, D. -T., Cobb, N. L., Cohen, A. J., Cruz-Martins, N., Dadras, O., Dagnaw, F. T., Dai, X., Dandona, L., Dandona, R., Dao, A. T. M., Debela, S. A., Demisse, B., Demisse, F. W., Demissie, S., Dereje, D., Desai, H. D., Desta, A. A., Desye, B., Dhingra, S., Diao, N., Diaz, D., Digesa, L. E., Doan, L. P., Dodangeh, M., Dongarwar, D., Dorostkar, F., dos Santos, W. M., Dsouza, H. L., Dubljanin, E., Durojaiye, O. C., Edinur, H. A., Ehsani-Chimeh, E., Eini, E., Ekholuenetale, M., Ekundayo, T. C., El Desouky, E. D., El Sayed, I., El Sayed Zaki, M., Elhadi, M., Elkhapery, A. M. R., Emami, A., Engelbert Bain, L., Erkhembayar, R., Etaee, F., Ezati Asar, M., Fagbamigbe, A. F., Falahi, S., Fallahzadeh, A., Faraj, A., Faraon, E. J. A., Fatehizadeh, A., Ferrara, P., Ferrari, A. A., Fetensa, G., Fischer, F., Flavel, J., Foroutan, M., Gaal, P. A., Gaidhane, A. M., Gaihre, S., Galehdar, N., Garcia-Basteiro, A. L., Garg, T., Gebrehiwot, M. D., Gebremichael, M. A., Gela, Y. Y., Gemeda, B. N. B., Gessner, B. D., Getachew, M., Getie, A., Ghamari, S. -H., Ghasemi Nour, M., Ghashghaee, A., Gholamrezanezhad, A., Gholizadeh, A., Ghosh, R., Ghozy, S., Goleij, P., Golitaleb, M., Gorini, G., Goulart, A. C., Goyomsa, G. G., Guadie, H. A., Gudisa, Z., Guled, R. A., Gupta, S., Gupta, V. B., Gupta, V. K., Guta, A., Habibzadeh, P., Haj-Mirzaian, A., Halwani, R., Hamidi, S., Hannan, M. A., Harorani, M., Hasaballah, A. I., Hasani, H., Hassan, A. M., Hassani, S., Hassanian-Moghaddam, H., Hassankhani, H., Hayat, K., Heibati, B., Heidari, M., Heyi, D. Z., Hezam, K., Holla, R., Hong, S. H., Horita, N., Hosseini, M. -S., Hosseinzadeh, M., Hostiuc, M., Househ, M., Hoveidamanesh, S., Huang, J., Hussein, N. R., Iavicoli, I., Ibitoye, S. E., Ikuta, K. S., Ilesanmi, O. S., Ilic, I. M., Ilic, M. D., Immurana, M., Ismail, N. E., Iwagami, M., Jaafari, J., Jamshidi, E., Jang, S. -I., Javadi Mamaghani, A., Javaheri, T., Javanmardi, F., Javidnia, J., Jayapal, S. K., Jayarajah, U., Jayaram, S., Jema, A. T., Jeong, W., Jonas, J. B., Joseph, N., Joukar, F., Jozwiak, J. J., K, V., Kabir, Z., Kacimi, S. E. O., Kadashetti, V., Kalankesh, L. R., Kalhor, R., Kamath, A., Kamble, B. D., Kandel, H., Kanko, T. K., Karaye, I. M., Karch, A., Karkhah, S., Kassa, B. G., Katoto, P. D., Kaur, H., Kaur, R. J., Keikavoosi-Arani, L., Keykhaei, M., Khader, Y. S., Khajuria, H., Khan, E. A., Khan, G., Khan, I. A., Khan, M., Khan, M. N., Khan, M. A., Khan, Y. H., Khatatbeh, M. M., Khosravifar, M., Khubchandani, J., Kim, M. S., Kimokoti, R. W., Kisa, A., Kisa, S., Kissoon, N., Knibbs, L. D., Kochhar, S., Kompani, F., Koohestani, H. R., Korshunov, V. A., Kosen, S., Koul, P. A., Koyanagi, A., Krishan, K., Kuate Defo, B., Kumar, G. A., Kurmi, O. P., Kuttikkattu, A., Lal, D. K., Lam, J., Landires, I., Ledda, C., Lee, S. -W., Levi, M., Lewycka, S., Liu, G., Liu, W., Lodha, R., Lorenzovici, L., Lotfi, M., Loureiro, J. A., Madadizadeh, F., Mahmoodpoor, A., Mahmoudi, R., Mahmoudimanesh, M., Majidpoor, J., Makki, A., Malakan Rad, E., Malik, A. A., Mallhi, T. H., Manla, Y., Matei, C. N., Mathioudakis, A. G., Maude, R. J., Mehrabi Nasab, E., Melese, A., Memish, Z. A., Mendoza-Cano, O., Mentis, A. -F. A., Meretoja, T. J., Merid, M. W., Mestrovic, T., Micheletti Gomide Nogueira de Sa, A. C., Mijena, G. F. W., Minh, L. H. N., Mir, S. A., Mirfakhraie, R., Mirmoeeni, S., Mirza, A. Z., Mirza, M., Mirza-Aghazadeh-Attari, M., Misganaw, A. S., Misganaw, A. T., Mohammadi, E., Mohammadi, M., Mohammed, A., Mohammed, S., Mohan, S., Mohseni, M., Moka, N., Mokdad, A. H., Momtazmanesh, S., Monasta, L., Moniruzzaman, M., Montazeri, F., Moore, C. E., Moradi, A., Morawska, L., Mosser, J. F., Mostafavi, E., Motaghinejad, M., Mousavi Isfahani, H., Mousavi-Aghdas, S. A., Mubarik, S., Murillo-Zamora, E., Mustafa, G., Nair, S., Nair, T. S., Najafi, H., Naqvi, A. A., Narasimha Swamy, S., Natto, Z. S., Nayak, B. P., Nejadghaderi, S. A., Nguyen, H. V. N., Niazi, R. K., Nogueira de Sa, A. T., Nouraei, H., Nowroozi, A., Nunez-Samudio, V., Nzoputam, C. I., Nzoputam, O. J., Oancea, B., Ochir, C., Odukoya, O. O., Okati-Aliabad, H., Okekunle, A. P., Okonji, O. C., Olagunju, A. T., Olufadewa, I. I., Omar Bali, A., Omer, E., Oren, E., Ota, E., Otstavnov, N., Oulhaj, A., P A, M., Padubidri, J. R., Pakshir, K., Pakzad, R., Palicz, T., Pandey, A., Pant, S., Pardhan, S., Park, E. -C., Park, E. -K., Pashazadeh Kan, F., Paudel, R., Pawar, S., Peng, M., Pereira, G., Perna, S., Perumalsamy, N., Petcu, I. -R., Pigott, D. M., Piracha, Z. Z., Podder, V., Polibin, R. V., Postma, M. J., Pourasghari, H., Pourtaheri, N., Qadir, M. M. F., Raad, M., Rabiee, M., Rabiee, N., Raeghi, S., Rafiei, A., Rahim, F., Rahimi, M., Rahimi-Movaghar, V., Rahman, A., Rahman, M. O., Rahman, M., Rahman, M. A., Rahmani, A. M., Rahmanian, V., Ram, P., Ramezanzadeh, K., Rana, J., Ranasinghe, P., Rani, U., Rao, S. J., Rashedi, S., Rashidi, M. -M., Rasul, A., Ratan, Z. A., Rawaf, D. L., Rawaf, S., Rawassizadeh, R., Razeghinia, M. S., Redwan, E. M. M., Reitsma, M. B., Renzaho, A. M. N., Rezaeian, M., Riad, A., Rikhtegar, R., Rodriguez, J. A. B., Rogowski, E. L. B., Ronfani, L., Rudd, K. E., Saddik, B., Sadeghi, E., Saeed, U., Safary, A., Safi, S. Z., Sahebazzamani, M., Sahebkar, A., Sakhamuri, S., Salehi, S., Salman, M., Samadi Kafil, H., Samy, A. M., Santric-Milicevic, M. M., Sao Jose, B. P., Sarkhosh, M., Sathian, B., Sawhney, M., Saya, G. K., Seidu, A. -A., Seylani, A., Shaheen, A. A., Shaikh, M. A., Shaker, E., Shamshad, H., Sharew, M. M., Sharhani, A., Sharifi, A., Sharma, P., Sheidaei, A., Shenoy, S. M., Shetty, J. K., Shiferaw, D. S., Shigematsu, M., Shin, J. I., Shirzad-Aski, H., Shivakumar, K. M., Shivalli, S., Shobeiri, P., Simegn, W., Simpson, C. R., Singh, H., Singh, J. A., Singh, P., Siwal, S. S., Skryabin, V. Y., Skryabina, A. A., Soltani-Zangbar, M. S., Song, S., Song, Y., Sood, P., Sreeramareddy, C. T., Steiropoulos, P., Suleman, M., Tabatabaeizadeh, S. -A., Tahamtan, A., Taheri, M., Taheri Soodejani, M., Taki, E., Talaat, I. M., Tampa, M., Tandukar, S., Tat, N. Y., Tat, V. Y., Tefera, Y. M., Temesgen, G., Temsah, M. -H., Tesfaye, A., Tesfaye, D. G., Tessema, B., Thapar, R., Ticoalu, J. H. V., Tiyuri, A., Tleyjeh, I. I., Togtmol, M., Tovani-Palone, M. R., Tufa, D. G., Ullah, I., Upadhyay, E., Valadan Tahbaz, S., Valdez, P. R., Valizadeh, R., Vardavas, C., Vasankari, T. J., Vo, B., Vu, L. G., Wagaye, B., Waheed, Y., Wang, Y., Waris, A., West, T. E., Wickramasinghe, N. D., Xu, X., Yaghoubi, S., Yahya, G. A. T., Yahyazadeh Jabbari, S. H., Yon, D. K., Yonemoto, N., Zaman, B. A., Zandifar, A., Zangiabadian, M., Zar, H. J., Zare, I., Zareshahrabadi, Z., Zarrintan, A., Zastrozhin, M. S., Zeng, W., Zhang, M., Zhang, Z. -J., Zhong, C., Zoladl, M., Zumla, A., Lim, S. S., Vos, T., Naghavi, M., Brauer, M., Hay, S. I., Murray, C. J. L., University of St Andrews. School of Medicine, University of St Andrews. Population and Behavioural Science Division, Tampere University, Health Sciences, Clinical Medicine, Kyu, H, Vongpradith, A, Sirota, S, Novotney, A, Troeger, C, Doxey, M, Bender, R, Ledesma, J, Biehl, M, Albertson, S, Frostad, J, Burkart, K, Bennitt, F, Zhao, J, Gardner, W, Hagins, H, Bryazka, D, Dominguez, R, Abate, S, Abdelmasseh, M, Abdoli, A, Abdoli, G, Abedi, A, Abedi, V, Abegaz, T, Abidi, H, Aboagye, R, Abolhassani, H, Abtew, Y, Abubaker Ali, H, Abu-Gharbieh, E, Abu-Zaid, A, Adamu, K, Addo, I, Adegboye, O, Adnan, M, Adnani, Q, Afzal, M, Afzal, S, Ahinkorah, B, Ahmad, A, Ahmad, S, Ahmadi, A, Ahmadi, S, Ahmed, H, Ahmed, J, Ahmed Rashid, T, Akbarzadeh-Khiavi, M, Al Hamad, H, Albano, L, Aldeyab, M, Alemu, B, Alene, K, Algammal, A, Alhalaiqa, F, Alhassan, R, Ali, B, Ali, L, Ali, M, Ali, S, Alimohamadi, Y, Alipour, V, Al-Jumaily, A, Aljunid, S, Almustanyir, S, Al-Raddadi, R, Al-Rifai, R, Alryalat, S, Alvis-Guzman, N, Alvis-Zakzuk, N, Ameyaw, E, Aminian Dehkordi, J, Amuasi, J, Amugsi, D, Anbesu, E, Ansar, A, Anyasodor, A, Arabloo, J, Areda, D, Argaw, A, Argaw, Z, Arulappan, J, Aruleba, R, Asemahagn, M, Athari, S, Atlaw, D, Attia, E, Attia, S, Aujayeb, A, Awoke, T, Ayana, T, Ayanore, M, Azadnajafabad, S, Azangou-Khyavy, M, Azari, S, Azari Jafari, A, Badar, M, Badiye, A, Baghcheghi, N, Bagherieh, S, Baig, A, Banach, M, Banerjee, I, Bardhan, M, Barone-Adesi, F, Barqawi, H, Barrow, A, Bashiri, A, Bassat, Q, Batiha, A, Belachew, A, Belete, M, Belgaumi, U, Bhagavathula, A, Bhardwaj, N, Bhardwaj, P, Bhatt, P, Bhojaraja, V, Bhutta, Z, Bhuyan, S, Bijani, A, Bitaraf, S, Bodicha, B, Briko, N, Buonsenso, D, Butt, M, Cai, J, Camargos, P, Camera, L, Chakraborty, P, Chanie, M, Charan, J, Chattu, V, Ching, P, Choi, S, Chong, Y, Choudhari, S, Chowdhury, E, Christopher, D, Chu, D, Cobb, N, Cohen, A, Cruz-Martins, N, Dadras, O, Dagnaw, F, Dai, X, Dandona, L, Dandona, R, Dao, A, Debela, S, Demisse, B, Demisse, F, Demissie, S, Dereje, D, Desai, H, Desta, A, Desye, B, Dhingra, S, Diao, N, Diaz, D, Digesa, L, Doan, L, Dodangeh, M, Dongarwar, D, Dorostkar, F, dos Santos, W, Dsouza, H, Dubljanin, E, Durojaiye, O, Edinur, H, Ehsani-Chimeh, E, Eini, E, Ekholuenetale, M, Ekundayo, T, El Desouky, E, El Sayed, I, El Sayed Zaki, M, Elhadi, M, Elkhapery, A, Emami, A, Engelbert Bain, L, Erkhembayar, R, Etaee, F, Ezati Asar, M, Fagbamigbe, A, Falahi, S, Fallahzadeh, A, Faraj, A, Faraon, E, Fatehizadeh, A, Ferrara, P, Ferrari, A, Fetensa, G, Fischer, F, Flavel, J, Foroutan, M, Gaal, P, Gaidhane, A, Gaihre, S, Galehdar, N, Garcia-Basteiro, A, Garg, T, Gebrehiwot, M, Gebremichael, M, Gela, Y, Gemeda, B, Gessner, B, Getachew, M, Getie, A, Ghamari, S, Ghasemi Nour, M, Ghashghaee, A, Gholamrezanezhad, A, Gholizadeh, A, Ghosh, R, Ghozy, S, Goleij, P, Golitaleb, M, Gorini, G, Goulart, A, Goyomsa, G, Guadie, H, Gudisa, Z, Guled, R, Gupta, S, Gupta, V, Guta, A, Habibzadeh, P, Haj-Mirzaian, A, Halwani, R, Hamidi, S, Hannan, M, Harorani, M, Hasaballah, A, Hasani, H, Hassan, A, Hassani, S, Hassanian-Moghaddam, H, Hassankhani, H, Hayat, K, Heibati, B, Heidari, M, Heyi, D, Hezam, K, Holla, R, Hong, S, Horita, N, Hosseini, M, Hosseinzadeh, M, Hostiuc, M, Househ, M, Hoveidamanesh, S, Huang, J, Hussein, N, Iavicoli, I, Ibitoye, S, Ikuta, K, Ilesanmi, O, Ilic, I, Ilic, M, Immurana, M, Ismail, N, Iwagami, M, Jaafari, J, Jamshidi, E, Jang, S, Javadi Mamaghani, A, Javaheri, T, Javanmardi, F, Javidnia, J, Jayapal, S, Jayarajah, U, Jayaram, S, Jema, A, Jeong, W, Jonas, J, Joseph, N, Joukar, F, Jozwiak, J, K, V, Kabir, Z, Kacimi, S, Kadashetti, V, Kalankesh, L, Kalhor, R, Kamath, A, Kamble, B, Kandel, H, Kanko, T, Karaye, I, Karch, A, Karkhah, S, Kassa, B, Katoto, P, Kaur, H, Kaur, R, Keikavoosi-Arani, L, Keykhaei, M, Khader, Y, Khajuria, H, Khan, E, Khan, G, Khan, I, Khan, M, Khan, Y, Khatatbeh, M, Khosravifar, M, Khubchandani, J, Kim, M, Kimokoti, R, Kisa, A, Kisa, S, Kissoon, N, Knibbs, L, Kochhar, S, Kompani, F, Koohestani, H, Korshunov, V, Kosen, S, Koul, P, Koyanagi, A, Krishan, K, Kuate Defo, B, Kumar, G, Kurmi, O, Kuttikkattu, A, Lal, D, Lam, J, Landires, I, Ledda, C, Lee, S, Levi, M, Lewycka, S, Liu, G, Liu, W, Lodha, R, Lorenzovici, L, Lotfi, M, Loureiro, J, Madadizadeh, F, Mahmoodpoor, A, Mahmoudi, R, Mahmoudimanesh, M, Majidpoor, J, Makki, A, Malakan Rad, E, Malik, A, Mallhi, T, Manla, Y, Matei, C, Mathioudakis, A, Maude, R, Mehrabi Nasab, E, Melese, A, Memish, Z, Mendoza-Cano, O, Mentis, A, Meretoja, T, Merid, M, Mestrovic, T, Micheletti Gomide Nogueira de Sa, A, Mijena, G, Minh, L, Mir, S, Mirfakhraie, R, Mirmoeeni, S, Mirza, A, Mirza, M, Mirza-Aghazadeh-Attari, M, Misganaw, A, Mohammadi, E, Mohammadi, M, Mohammed, A, Mohammed, S, Mohan, S, Mohseni, M, Moka, N, Mokdad, A, Momtazmanesh, S, Monasta, L, Moniruzzaman, M, Montazeri, F, Moore, C, Moradi, A, Morawska, L, Mosser, J, Mostafavi, E, Motaghinejad, M, Mousavi Isfahani, H, Mousavi-Aghdas, S, Mubarik, S, Murillo-Zamora, E, Mustafa, G, Nair, S, Nair, T, Najafi, H, Naqvi, A, Narasimha Swamy, S, Natto, Z, Nayak, B, Nejadghaderi, S, Nguyen, H, Niazi, R, Nogueira de Sa, A, Nouraei, H, Nowroozi, A, Nunez-Samudio, V, Nzoputam, C, Nzoputam, O, Oancea, B, Ochir, C, Odukoya, O, Okati-Aliabad, H, Okekunle, A, Okonji, O, Olagunju, A, Olufadewa, I, Omar Bali, A, Omer, E, Oren, E, Ota, E, Otstavnov, N, Oulhaj, A, P A, M, Padubidri, J, Pakshir, K, Pakzad, R, Palicz, T, Pandey, A, Pant, S, Pardhan, S, Park, E, Pashazadeh Kan, F, Paudel, R, Pawar, S, Peng, M, Pereira, G, Perna, S, Perumalsamy, N, Petcu, I, Pigott, D, Piracha, Z, Podder, V, Polibin, R, Postma, M, Pourasghari, H, Pourtaheri, N, Qadir, M, Raad, M, Rabiee, M, Rabiee, N, Raeghi, S, Rafiei, A, Rahim, F, Rahimi, M, Rahimi-Movaghar, V, Rahman, A, Rahman, M, Rahmani, A, Rahmanian, V, Ram, P, Ramezanzadeh, K, Rana, J, Ranasinghe, P, Rani, U, Rao, S, Rashedi, S, Rashidi, M, Rasul, A, Ratan, Z, Rawaf, D, Rawaf, S, Rawassizadeh, R, Razeghinia, M, Redwan, E, Reitsma, M, Renzaho, A, Rezaeian, M, Riad, A, Rikhtegar, R, Rodriguez, J, Rogowski, E, Ronfani, L, Rudd, K, Saddik, B, Sadeghi, E, Saeed, U, Safary, A, Safi, S, Sahebazzamani, M, Sahebkar, A, Sakhamuri, S, Salehi, S, Salman, M, Samadi Kafil, H, Samy, A, Santric-Milicevic, M, Sao Jose, B, Sarkhosh, M, Sathian, B, Sawhney, M, Saya, G, Seidu, A, Seylani, A, Shaheen, A, Shaikh, M, Shaker, E, Shamshad, H, Sharew, M, Sharhani, A, Sharifi, A, Sharma, P, Sheidaei, A, Shenoy, S, Shetty, J, Shiferaw, D, Shigematsu, M, Shin, J, Shirzad-Aski, H, Shivakumar, K, Shivalli, S, Shobeiri, P, Simegn, W, Simpson, C, Singh, H, Singh, J, Singh, P, Siwal, S, Skryabin, V, Skryabina, A, Soltani-Zangbar, M, Song, S, Song, Y, Sood, P, Sreeramareddy, C, Steiropoulos, P, Suleman, M, Tabatabaeizadeh, S, Tahamtan, A, Taheri, M, Taheri Soodejani, M, Taki, E, Talaat, I, Tampa, M, Tandukar, S, Tat, N, Tat, V, Tefera, Y, Temesgen, G, Temsah, M, Tesfaye, A, Tesfaye, D, Tessema, B, Thapar, R, Ticoalu, J, Tiyuri, A, Tleyjeh, I, Togtmol, M, Tovani-Palone, M, Tufa, D, Ullah, I, Upadhyay, E, Valadan Tahbaz, S, Valdez, P, Valizadeh, R, Vardavas, C, Vasankari, T, Vo, B, Vu, L, Wagaye, B, Waheed, Y, Wang, Y, Waris, A, West, T, Wickramasinghe, N, Xu, X, Yaghoubi, S, Yahya, G, Yahyazadeh Jabbari, S, Yon, D, Yonemoto, N, Zaman, B, Zandifar, A, Zangiabadian, M, Zar, H, Zare, I, Zareshahrabadi, Z, Zarrintan, A, Zastrozhin, M, Zeng, W, Zhang, M, Zhang, Z, Zhong, C, Zoladl, M, Zumla, A, Lim, S, Vos, T, Naghavi, M, Brauer, M, Hay, S, Murray, C, HUS Comprehensive Cancer Center, and Department of Oncology
- Subjects
Adult ,Male ,Global Health ,Time ,Global Burden of Disease ,SDG 3 - Good Health and Well-being ,Risk Factors ,RA0421 ,RA0421 Public health. Hygiene. Preventive Medicine ,Humans ,Ambient air-quality ,Child ,Respiratory Tract Infections ,Aged ,Aged, 80 and over ,MCC ,Sex Characteristics ,Malnutrition ,Pyridinolcarbamate ,Bayes Theorem ,3rd-DAS ,3142 Public health care science, environmental and occupational health ,Infectious Diseases ,3121 General medicine, internal medicine and other clinical medicine ,Child, Preschool ,Female ,Particulate Matter ,Quality-Adjusted Life Years ,Covid-19 ,LRI - Abstract
Funding: Bill & Melinda Gates Foundation. Background: The global burden of lower respiratory infections (LRIs) and corresponding risk factors in children older than 5 years and adults has not been studied as comprehensively as it has been in children younger than 5 years. We assessed the burden and trends of LRIs and risk factors across all age groups by sex, for 204 countries and territories. Methods: In this analysis of data for the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2019, we used clinician-diagnosed pneumonia or bronchiolitis as our case definition for LRIs. We included International Classification of Diseases 9th edition codes 079.6, 466–469, 470.0, 480–482.8, 483.0–483.9, 484.1–484.2, 484.6–484.7, and 487–489 and International Classification of Diseases 10th edition codes A48.1, A70, B97.4–B97.6, J09–J15.8, J16–J16.9, J20–J21.9, J91.0, P23.0–P23.4, and U04–U04.9. We used the Cause of Death Ensemble modelling strategy to analyse 23 109 site-years of vital registration data, 825 site-years of sample vital registration data, 1766 site-years of verbal autopsy data, and 681 site-years of mortality surveillance data. We used DisMod-MR 2.1, a Bayesian meta-regression tool, to analyse age–sex-specific incidence and prevalence data identified via systematic reviews of the literature, population-based survey data, and claims and inpatient data. Additionally, we estimated age–sex-specific LRI mortality that is attributable to the independent effects of 14 risk factors. Findings: Globally, in 2019, we estimated that there were 257 million (95% uncertainty interval [UI] 240–275) LRI incident episodes in males and 232 million (217–248) in females. In the same year, LRIs accounted for 1·30 million (95% UI 1·18–1·42) male deaths and 1·20 million (1·07–1·33) female deaths. Age-standardised incidence and mortality rates were 1·17 times (95% UI 1·16–1·18) and 1·31 times (95% UI 1·23–1·41) greater in males than in females in 2019. Between 1990 and 2019, LRI incidence and mortality rates declined at different rates across age groups and an increase in LRI episodes and deaths was estimated among all adult age groups, with males aged 70 years and older having the highest increase in LRI episodes (126·0% [95% UI 121·4–131·1]) and deaths (100·0% [83·4–115·9]). During the same period, LRI episodes and deaths in children younger than 15 years were estimated to have decreased, and the greatest decline was observed for LRI deaths in males younger than 5 years (–70·7% [–77·2 to –61·8]). The leading risk factors for LRI mortality varied across age groups and sex. More than half of global LRI deaths in children younger than 5 years were attributable to child wasting (population attributable fraction [PAF] 53·0% [95% UI 37·7–61·8] in males and 56·4% [40·7–65·1] in females), and more than a quarter of LRI deaths among those aged 5–14 years were attributable to household air pollution (PAF 26·0% [95% UI 16·6–35·5] for males and PAF 25·8% [16·3–35·4] for females). PAFs of male LRI deaths attributed to smoking were 20·4% (95% UI 15·4–25·2) in those aged 15–49 years, 30·5% (24·1–36·9) in those aged 50–69 years, and 21·9% (16·8–27·3) in those aged 70 years and older. PAFs of female LRI deaths attributed to household air pollution were 21·1% (95% UI 14·5–27·9) in those aged 15–49 years and 18·2% (12·5–24·5) in those aged 50–69 years. For females aged 70 years and older, the leading risk factor, ambient particulate matter, was responsible for 11·7% (95% UI 8·2–15·8) of LRI deaths. Interpretation: The patterns and progress in reducing the burden of LRIs and key risk factors for mortality varied across age groups and sexes. The progress seen in children younger than 5 years was clearly a result of targeted interventions, such as vaccination and reduction of exposure to risk factors. Similar interventions for other age groups could contribute to the achievement of multiple Sustainable Development Goals targets, including promoting wellbeing at all ages and reducing health inequalities. Interventions, including addressing risk factors such as child wasting, smoking, ambient particulate matter pollution, and household air pollution, would prevent deaths and reduce health disparities. Publisher PDF
- Published
- 2022
22. The global burden of cancer attributable to risk factors, 2010–19 : A systematic analysis for the Global Burden of Disease Study 2019
- Author
-
Khanh Bao Tran, Justin J Lang, Kelly Compton, Rixing Xu, Alistair R Acheson, Hannah Jacqueline Henrikson, Jonathan M Kocarnik, Louise Penberthy, Amirali Aali, Qamar Abbas, Behzad Abbasi, Mohsen Abbasi-Kangevari, Zeinab Abbasi-Kangevari, Hedayat Abbastabar, Michael Abdelmasseh, Sherief Abd-Elsalam, Ahmed Abdelwahab Abdelwahab, Gholamreza Abdoli, Hanan Abdulkadir Abdulkadir, Aidin Abedi, Kedir Hussein Abegaz, Hassan Abidi, Richard Gyan Aboagye, Hassan Abolhassani, Abdorrahim Absalan, Yonas Derso Abtew, Hiwa Abubaker Ali, Eman Abu-Gharbieh, Basavaprabhu Achappa, Juan Manuel Acuna, Daniel Addison, Isaac Yeboah Addo, Oyelola A Adegboye, Miracle Ayomikun Adesina, Mohammad Adnan, Qorinah Estiningtyas Sakilah Adnani, Shailesh M Advani, Sumia Afrin, Muhammad Sohail Afzal, Manik Aggarwal, Bright Opoku Ahinkorah, Araz Ramazan Ahmad, Rizwan Ahmad, Sajjad Ahmad, Sohail Ahmad, Sepideh Ahmadi, Haroon Ahmed, Luai A Ahmed, Muktar Beshir Ahmed, Tarik Ahmed Rashid, Wajeeha Aiman, Marjan Ajami, Gizachew Taddesse Akalu, Mostafa Akbarzadeh-Khiavi, Addis Aklilu, Maxwell Akonde, Chisom Joyqueenet Akunna, Hanadi Al Hamad, Fares Alahdab, Fahad Mashhour Alanezi, Turki M Alanzi, Saleh Ali Alessy, Abdelazeem M Algammal, Mohammed Khaled Al-Hanawi, Robert Kaba Alhassan, Beriwan Abdulqadir Ali, Liaqat Ali, Syed Shujait Ali, Yousef Alimohamadi, Vahid Alipour, Syed Mohamed Aljunid, Motasem Alkhayyat, Sadeq Ali Ali Al-Maweri, Sami Almustanyir, Nivaldo Alonso, Shehabaldin Alqalyoobi, Rajaa M Al-Raddadi, Rami H Hani Al-Rifai, Salman Khalifah Al-Sabah, Ala'a B Al-Tammemi, Haya Altawalah, Nelson Alvis-Guzman, Firehiwot Amare, Edward Kwabena Ameyaw, Javad Javad Aminian Dehkordi, Mohammad Hosein Amirzade-Iranaq, Hubert Amu, Ganiyu Adeniyi Amusa, Robert Ancuceanu, Jason A Anderson, Yaregal Animut Animut, Amir Anoushiravani, Ali Arash Anoushirvani, Alireza Ansari-Moghaddam, Mustafa Geleto Ansha, Benny Antony, Maxwell Hubert Antwi, Sumadi Lukman Anwar, Razique Anwer, Anayochukwu Edward Anyasodor, Jalal Arabloo, Morteza Arab-Zozani, Olatunde Aremu, Ayele Mamo Argaw, Hany Ariffin, Timur Aripov, Muhammad Arshad, Al Artaman, Judie Arulappan, Raphael Taiwo Aruleba, Armin Aryannejad, Malke Asaad, Mulusew A Asemahagn, Zatollah Asemi, Mohammad Asghari-Jafarabadi, Tahira Ashraf, Reza Assadi, Mohammad Athar, Seyyed Shamsadin Athari, Maha Moh'd Wahbi Atout, Sameh Attia, Avinash Aujayeb, Marcel Ausloos, Leticia Avila-Burgos, Atalel Fentahun Awedew, Mamaru Ayenew Awoke, Tewachew Awoke, Beatriz Paulina Ayala Quintanilla, Tegegn Mulatu Ayana, Solomon Shitu Ayen, Davood Azadi, Sina Azadnajafabad, Saber Azami-Aghdash, Melkalem Mamuye Azanaw, Mohammadreza Azangou-Khyavy, Amirhossein Azari Jafari, Hosein Azizi, Ahmed Y Y Azzam, Amirhesam Babajani, Muhammad Badar, Ashish D Badiye, Nayereh Baghcheghi, Nader Bagheri, Sara Bagherieh, Saeed Bahadory, Atif Amin Baig, Jennifer L Baker, Ahad Bakhtiari, Ravleen Kaur Bakshi, Maciej Banach, Indrajit Banerjee, Mainak Bardhan, Francesco Barone-Adesi, Fabio Barra, Amadou Barrow, Nasir Z Bashir, Azadeh Bashiri, Saurav Basu, Abdul-Monim Mohammad Batiha, Aeysha Begum, Alehegn Bekele Bekele, Alemayehu Sayih Belay, Melaku Ashagrie Belete, Uzma Iqbal Belgaumi, Arielle Wilder Bell, Luis Belo, Habib Benzian, Alemshet Yirga Berhie, Amiel Nazer C Bermudez, Eduardo Bernabe, Akshaya Srikanth Bhagavathula, Neeraj Bhala, Bharti Bhandari Bhandari, Nikha Bhardwaj, Pankaj Bhardwaj, Krittika Bhattacharyya, Vijayalakshmi S Bhojaraja, Soumitra S Bhuyan, Sadia Bibi, Awraris Hailu Bilchut, Bagas Suryo Bintoro, Antonio Biondi, Mesfin Geremaw Birega Birega, Habitu Eshetu Birhan, Tone Bjørge, Oleg Blyuss, Belay Boda Abule Bodicha, Srinivasa Rao Bolla, Archith Boloor, Cristina Bosetti, Dejana Braithwaite, Michael Brauer, Hermann Brenner, Andrey Nikolaevich Briko, Nikolay Ivanovich Briko, Christina Maree Buchanan, Norma B Bulamu, Maria Teresa Bustamante-Teixeira, Muhammad Hammad Butt, Nadeem Shafique Butt, Zahid A Butt, Florentino Luciano Caetano dos Santos, Luis Alberto Cámera, Chao Cao, Yin Cao, Giulia Carreras, Márcia Carvalho, Francieli Cembranel, Ester Cerin, Promit Ananyo Chakraborty, Periklis Charalampous, Vijay Kumar Chattu, Odgerel Chimed-Ochir, Jesus Lorenzo Chirinos-Caceres, Daniel Youngwhan Cho, William C S Cho, Devasahayam J Christopher, Dinh-Toi Chu, Isaac Sunday Chukwu, Aaron J Cohen, Joao Conde, Sandra Cortés, Vera Marisa Costa, Natália Cruz-Martins, Garland T Culbreth, Omid Dadras, Fentaw Teshome Dagnaw, Saad M A Dahlawi, Xiaochen Dai, Lalit Dandona, Rakhi Dandona, Parnaz Daneshpajouhnejad, Anna Danielewicz, An Thi Minh Dao, Reza Darvishi Cheshmeh Soltani, Aso Mohammad Darwesh, Saswati Das, Dragos Virgil Davitoiu, Elham Davtalab Esmaeili, Fernando Pio De la Hoz, Sisay Abebe Debela, Azizallah Dehghan, Biniyam Demisse, Fitsum Wolde Demisse, Edgar Denova-Gutiérrez, Afshin Derakhshani, Meseret Derbew Molla, Diriba Dereje, Kalkidan Solomon Deribe, Rupak Desai, Markos Desalegn Desalegn, Fikadu Nugusu Dessalegn, Samuel Abebe A Dessalegni, Gashaw Dessie, Abebaw Alemayehu Desta, Syed Masudur Rahman Dewan, Samath Dhamminda Dharmaratne, Meghnath Dhimal, Mostafa Dianatinasab, Nancy Diao, Daniel Diaz, Lankamo Ena Digesa, Shilpi Gupta Dixit, Saeid Doaei, Linh Phuong Doan, Paul Narh Doku, Deepa Dongarwar, Wendel Mombaque dos Santos, Tim Robert Driscoll, Haneil Larson Dsouza, Oyewole Christopher Durojaiye, Sareh Edalati, Fatemeh Eghbalian, Elham Ehsani-Chimeh, Ebrahim Eini, Michael Ekholuenetale, Temitope Cyrus Ekundayo, Donatus U Ekwueme, Maha El Tantawi, Mostafa Ahmed Elbahnasawy, Iffat Elbarazi, Hesham Elghazaly, Muhammed Elhadi, Waseem El-Huneidi, Mohammad Hassan Emamian, Luchuo Engelbert Bain, Daniel Berhanie Enyew, Ryenchindorj Erkhembayar, Tegegne Eshetu, Babak Eshrati, Sharareh Eskandarieh, Juan Espinosa-Montero, Farshid Etaee, Azin Etemadimanesh, Tahir Eyayu, Ifeanyi Jude Ezeonwumelu, Sayeh Ezzikouri, Adeniyi Francis Fagbamigbe, Saman Fahimi, Ildar Ravisovich Fakhradiyev, Emerito Jose A Faraon, Jawad Fares, Abbas Farmany, Umar Farooque, Hossein Farrokhpour, Abidemi Omolara Fasanmi, Ali Fatehizadeh, Wafa Fatima, Hamed Fattahi, Ginenus Fekadu, Berhanu Elfu Feleke, Allegra Allegra Ferrari, Simone Ferrero, Lorenzo Ferro Desideri, Irina Filip, Florian Fischer, Roham Foroumadi, Masoud Foroutan, Takeshi Fukumoto, Peter Andras Gaal, Mohamed M Gad, Muktar A Gadanya, Abduzhappar Gaipov, Nasrin Galehdar, Silvano Gallus, Tushar Garg, Mariana Gaspar Fonseca, Yosef Haile Gebremariam, Teferi Gebru Gebremeskel, Mathewos Alemu Gebremichael, Yohannes Fikadu Geda, Yibeltal Yismaw Gela, Belete Negese Belete Gemeda, Melaku Getachew, Motuma Erena Getachew, Kazem Ghaffari, Mansour Ghafourifard, Seyyed-Hadi Ghamari, Mohammad Ghasemi Nour, Fariba Ghassemi, Ajnish Ghimire, Nermin Ghith, Maryam Gholamalizadeh, Jamshid Gholizadeh Navashenaq, Sherief Ghozy, Syed Amir Gilani, Paramjit Singh Gill, Themba G Ginindza, Abraham Tamirat T Gizaw, James C Glasbey, Justyna Godos, Amit Goel, Mahaveer Golechha, Pouya Goleij, Davide Golinelli, Mohamad Golitaleb, Giuseppe Gorini, Bárbara Niegia Garcia Goulart, Giuseppe Grosso, Habtamu Alganeh Guadie, Mohammed Ibrahim Mohialdeen Gubari, Temesgen Worku Gudayu, Maximiliano Ribeiro Guerra, Damitha Asanga Gunawardane, Bhawna Gupta, Sapna Gupta, Veer Bala Gupta, Vivek Kumar Gupta, Mekdes Kondale Gurara, Alemu Guta, Parham Habibzadeh, Atlas Haddadi Avval, Nima Hafezi-Nejad, Adel Hajj Ali, Arvin Haj-Mirzaian, Esam S Halboub, Aram Halimi, Rabih Halwani, Randah R Hamadeh, Sajid Hameed, Samer Hamidi, Asif Hanif, Sanam Hariri, Netanja I Harlianto, Josep Maria Haro, Risky Kusuma Hartono, Ahmed I Hasaballah, S M Mahmudul Hasan, Hamidreza Hasani, Seyedeh Melika Hashemi, Abbas M Hassan, Soheil Hassanipour, Khezar Hayat, Golnaz Heidari, Mohammad Heidari, Zahra Heidarymeybodi, Brenda Yuliana Herrera-Serna, Claudiu Herteliu, Kamal Hezam, Yuta Hiraike, Mbuzeleni Mbuzeleni Hlongwa, Ramesh Holla, Marianne Holm, Nobuyuki Horita, Mohammad Hoseini, Md Mahbub Hossain, Mohammad Bellal Hossain Hossain, Mohammad-Salar Hosseini, Ali Hosseinzadeh, Mehdi Hosseinzadeh, Mihaela Hostiuc, Sorin Hostiuc, Mowafa Househ, Junjie Huang, Fernando N Hugo, Ayesha Humayun, Salman Hussain, Nawfal R Hussein, Bing-Fang Hwang, Segun Emmanuel Ibitoye, Pulwasha Maria Iftikhar, Kevin S Ikuta, Olayinka Stephen Ilesanmi, Irena M Ilic, Milena D Ilic, Mustapha Immurana, Kaire Innos, Pooya Iranpour, Lalu Muhammad Irham, Md Shariful Islam, Rakibul M Islam, Farhad Islami, Nahlah Elkudssiah Ismail, Gaetano Isola, Masao Iwagami, Linda Merin J, Abhishek Jaiswal, Mihajlo Jakovljevic, Mahsa Jalili, Shahram Jalilian, Elham Jamshidi, Sung-In Jang, Chinmay T Jani, Tahereh Javaheri, Umesh Umesh Jayarajah, Shubha Jayaram, Seyed Behzad Jazayeri, Rime Jebai, Bedru Jemal, Wonjeong Jeong, Ravi Prakash Jha, Har Ashish Jindal, Yetunde O John-Akinola, Jost B Jonas, Tamas Joo, Nitin Joseph, Farahnaz Joukar, Jacek Jerzy Jozwiak, Mikk Jürisson, Ali Kabir, Salah Eddine Oussama Kacimi, Vidya Kadashetti, Farima Kahe, Pradnya Vishal Kakodkar, Laleh R Kalankesh, Leila R Kalankesh, Rohollah Kalhor, Vineet Kumar Kamal, Farin Kamangar, Ashwin Kamath, Tanuj Kanchan, Eswar Kandaswamy, Himal Kandel, HyeJung Kang, Girum Gebremeskel Kanno, Neeti Kapoor, Sitanshu Sekhar Kar, Shama D Karanth, Ibraheem M Karaye, André Karch, Amirali Karimi, Bekalu Getnet Kassa, Patrick DMC Katoto, Joonas H Kauppila, Harkiran Kaur, Abinet Gebremickael Kebede, Leila Keikavoosi-Arani, Gemechu Gemechu Kejela, Phillip M Kemp Bohan, Maryam Keramati, Mohammad Keykhaei, Himanshu Khajuria, Abbas Khan, Abdul Aziz Khan Khan, Ejaz Ahmad Khan, Gulfaraz Khan, Md Nuruzzaman Khan, Moien AB Khan, Javad Khanali, Khaled Khatab, Moawiah Mohammad Khatatbeh, Mahalaqua Nazli Khatib, Maryam Khayamzadeh, Hamid Reza Khayat Kashani, Mohammad Amin Khazeei Tabari, Mehdi Khezeli, Mahmoud Khodadost, Min Seo Kim, Yun Jin Kim, Adnan Kisa, Sezer Kisa, Miloslav Klugar, Jitka Klugarová, Ali-Asghar Kolahi, Pavel Kolkhir, Farzad Kompani, Parvaiz A Koul, Sindhura Lakshmi Koulmane Laxminarayana, Ai Koyanagi, Kewal Krishan, Yuvaraj Krishnamoorthy, Burcu Kucuk Bicer, Nuworza Kugbey, Mukhtar Kulimbet, Akshay Kumar, G Anil Kumar, Narinder Kumar, Om P Kurmi, Ambily Kuttikkattu, Carlo La Vecchia, Arista Lahiri, Dharmesh Kumar Lal, Judit Lám, Qing Lan, Iván Landires, Bagher Larijani, Savita Lasrado, Jerrald Lau, Paolo Lauriola, Caterina Ledda, Sang-woong Lee, Shaun Wen Huey Lee, Wei-Chen Lee, Yeong Yeh Lee, Yo Han Lee, Samson Mideksa Legesse, James Leigh, Elvynna Leong, Ming-Chieh Li, Stephen S Lim, Gang Liu, Jue Liu, Chun-Han Lo, Ayush Lohiya, Platon D Lopukhov, László Lorenzovici, Mojgan Lotfi, Joana A Loureiro, Raimundas Lunevicius, Farzan Madadizadeh, Ahmad R Mafi, Sameh Magdeldin, Soleiman Mahjoub, Ata Mahmoodpoor, Morteza Mahmoudi, Marzieh Mahmoudimanesh, Rashidul Alam Mahumud, Azeem Majeed, Jamal Majidpoor, Alaa Makki, Konstantinos Christos Makris, Elaheh Malakan Rad, Mohammad-Reza Malekpour, Reza Malekzadeh, Ahmad Azam Malik, Tauqeer Hussain Mallhi, Sneha Deepak Mallya, Mohammed A Mamun, Ana Laura Manda, Fariborz Mansour-Ghanaei, Borhan Mansouri, Mohammad Ali Mansournia, Lorenzo Giovanni Mantovani, Santi Martini, Miquel Martorell, Sahar Masoudi, Seyedeh Zahra Masoumi, Clara N Matei, Elezebeth Mathews, Manu Raj Mathur, Vasundhara Mathur, Martin McKee, Jitendra Kumar Meena, Khalid Mehmood, Entezar Mehrabi Nasab, Ravi Mehrotra, Addisu Melese, Walter Mendoza, Ritesh G Menezes, SIsay Derso Mengesha, Laverne G Mensah, Alexios-Fotios A Mentis, Andry Yasmid Mera Mera-Mamián, Tuomo J Meretoja, Mehari Woldemariam Merid, Amanual Getnet Mersha, Belsity Temesgen Meselu, Mahboobeh Meshkat, Tomislav Mestrovic, Junmei Miao Jonasson, Tomasz Miazgowski, Irmina Maria Michalek, Gelana Fekadu Worku Mijena, Ted R Miller, Shabir Ahmad Mir, Seyed Kazem Mirinezhad, Seyyedmohammadsadeq Mirmoeeni, Mohammad Mirza-Aghazadeh-Attari, Hamed Mirzaei, Hamid Reza Mirzaei, Abay Sisay Misganaw, Sanjeev Misra, Karzan Abdulmuhsin Mohammad, Esmaeil Mohammadi, Mokhtar Mohammadi, Abdollah Mohammadian-Hafshejani, Reza Mohammadpourhodki, Arif Mohammed, Shafiu Mohammed, Syam Mohan, Mohammad Mohseni, Nagabhishek Moka, Ali H Mokdad, Alex Molassiotis, Mariam Molokhia, Kaveh Momenzadeh, Sara Momtazmanesh, Lorenzo Monasta, Ute Mons, Ahmed Al Montasir, Fateme Montazeri, Arnulfo Montero, Mohammad Amin Moosavi, Abdolvahab Moradi, Yousef Moradi, Mostafa Moradi Sarabi, Paula Moraga, Lidia Morawska, Shane Douglas Morrison, Jakub Morze, Abbas Mosapour, Ebrahim Mostafavi, Seyyed Meysam Mousavi, Haleh Mousavi Isfahani, Amin Mousavi Khaneghah, Christine Mpundu-Kaambwa, Sumaira Mubarik, Francesk Mulita, Daniel Munblit, Sandra B Munro, Efrén Murillo-Zamora, Jonah Musa, Ashraf F Nabhan, Ahamarshan Jayaraman Nagarajan, Shankar Prasad Nagaraju, Gabriele Nagel, Mohammadreza Naghipour, Mukhammad David Naimzada, Tapas Sadasivan Nair, Atta Abbas Naqvi, Sreenivas Narasimha Swamy, Aparna Ichalangod Narayana, Hasan Nassereldine, Zuhair S Natto, Biswa Prakash Nayak, Rawlance Ndejjo, Sabina Onyinye Nduaguba, Wogene Wogene Negash, Seyed Aria Nejadghaderi, Kazem Nejati, Sandhya Neupane Kandel, Huy Van Nguyen Nguyen, Robina Khan Niazi, Nurulamin M Noor, Maryam Noori, Nafise Noroozi, Hasti Nouraei, Ali Nowroozi, Virginia Nuñez-Samudio, Chimezie Igwegbe Nzoputam, Ogochukwu Janet Nzoputam, Bogdan Oancea, Oluwakemi Ololade Odukoya, Onome Bright Oghenetega, Ropo Ebenezer Ogunsakin, Ayodipupo Sikiru Oguntade, In-Hwan Oh, Hassan Okati-Aliabad, Akinkunmi Paul Okekunle, Andrew T Olagunju, Tinuke O Olagunju, Babayemi Oluwaseun Olakunde, Isaac Iyinoluwa Olufadewa, Emad Omer, Abidemi E Emmanuel Omonisi, Sokking Ong, Obinna E Onwujekwe, Hans Orru, Stanislav S Otstavnov, Abderrahim Oulhaj, Bilcha Oumer, Oluwatomi Funbi Owopetu, Babatunji Emmanuel Oyinloye, Mahesh P A, Alicia Padron-Monedero, Jagadish Rao Padubidri, Babak Pakbin, Keyvan Pakshir, Reza Pakzad, Tamás Palicz, Adrian Pana, Anamika Pandey, Ashok Pandey, Suman Pant, Shahina Pardhan, Eun-Cheol Park, Eun-Kee Park, Seoyeon Park, Jay Patel, Siddhartha Pati, Rajan Paudel, Uttam Paudel, Mihaela Paun, Hamidreza Pazoki Toroudi, Minjin Peng, Jeevan Pereira, Renato B Pereira, Simone Perna, Navaraj Perumalsamy, Richard G Pestell, Raffaele Pezzani, Cristiano Piccinelli, Julian David Pillay, Zahra Zahid Piracha, Tobias Pischon, Maarten J Postma, Ashkan Pourabhari Langroudi, Akram Pourshams, Naeimeh Pourtaheri, Akila Prashant, Mirza Muhammad Fahd Qadir, Zahiruddin Quazi Syed, Mohammad Rabiee, Navid Rabiee, Amir Radfar, Raghu Anekal Radhakrishnan, Venkatraman Radhakrishnan, Mojtaba Raeisi, Ata Rafiee, Alireza Rafiei, Nasiru Raheem, Fakher Rahim, Md Obaidur Rahman, Mosiur Rahman, Muhammad Aziz Rahman, Amir Masoud Rahmani, Shayan Rahmani, Vahid Rahmanian, Nazanin Rajai, Aashish Rajesh, Pradhum Ram, Kiana Ramezanzadeh, Juwel Rana, Kamal Ranabhat, Priyanga Ranasinghe, Chythra R Rao, Sowmya J Rao, Sina Rashedi, Amirfarzan Rashidi, Mahsa Rashidi, Mohammad-Mahdi Rashidi, Zubair Ahmed Ratan, David Laith Rawaf, Salman Rawaf, Lal Rawal, Reza Rawassizadeh, Mohammad Sadegh Razeghinia, Ashfaq Ur Rehman, Inayat ur Rehman, Marissa B Reitsma, Andre M N Renzaho, Maryam Rezaei, Nazila Rezaei, Negar Rezaei, Nima Rezaei, Saeid Rezaei, Mohsen Rezaeian, Aziz Rezapour, Abanoub Riad, Reza Rikhtegar, Maria Rios-Blancas, Thomas J Roberts, Peter Rohloff, Esperanza Romero-Rodríguez, Gholamreza Roshandel, Godfrey M Rwegerera, Manjula S, Maha Mohamed Saber-Ayad, Bahar Saberzadeh-Ardestani, Siamak Sabour, Basema Saddik, Erfan Sadeghi, Mohammad Reza Saeb, Umar Saeed, Mohsen Safaei, Azam Safary, Maryam Sahebazzamani, Amirhossein Sahebkar, Harihar Sahoo, Mirza Rizwan Sajid, Hedayat Salari, Sana Salehi, Marwa Rashad Salem, Hamideh Salimzadeh, Yoseph Leonardo Samodra, Abdallah M Samy, Juan Sanabria, Senthilkumar Sankararaman, Francesco Sanmarchi, Milena M Santric-Milicevic, Muhammad Arif Nadeem Saqib, Arash Sarveazad, Fatemeh Sarvi, Brijesh Sathian, Maheswar Satpathy, Nicolas Sayegh, Ione Jayce Ceola Schneider, Michaël Schwarzinger, Mario Šekerija, Subramanian Senthilkumaran, Sadaf G Sepanlou, Allen Seylani, Kenbon Seyoum, Feng Sha, Omid Shafaat, Pritik A Shah, Saeed Shahabi, Izza Shahid, Mohammad Amin Shahrbaf, Hamid R Shahsavari, Masood Ali Shaikh, Mohammed Feyisso Shaka, Elaheh Shaker, Mohammed Shannawaz, Mequannent Melaku Sharew Sharew, Azam Sharifi, Javad Sharifi-Rad, Purva Sharma, Bereket Beyene Shashamo, Aziz Sheikh, Mahdi Sheikh, Sara Sheikhbahaei, Rahim Ali Sheikhi, Ali Sheikhy, Peter Robin Shepherd, Adithi Shetty, Jeevan K Shetty, Ranjitha S Shetty, Kenji Shibuya, Reza Shirkoohi, Hesamaddin Shirzad-Aski, K M Shivakumar, Siddharudha Shivalli, Velizar Shivarov, Parnian Shobeiri, Zahra Shokri Varniab, Seyed Afshin Shorofi, Sunil Shrestha, Migbar Mekonnen Sibhat, Sudeep K Siddappa Malleshappa, Negussie Boti Sidemo, Diego Augusto Santos Silva, Luís Manuel Lopes Rodrigues Silva, Guilherme Silva Julian, Nicola Silvestris, Wudneh Simegn, Achintya Dinesh Singh, Ambrish Singh, Garima Singh, Harpreet Singh, Jasvinder A Singh, Jitendra Kumar Singh, Paramdeep Singh, Surjit Singh, Dhirendra Narain Sinha, Abiy H Sinke, Md Shahjahan Siraj, Freddy Sitas, Samarjeet Singh Siwal, Valentin Yurievich Skryabin, Anna Aleksandrovna Skryabina, Bogdan Socea, Matthew J Soeberg, Ahmad Sofi-Mahmudi, Yonatan Solomon, Mohammad Sadegh Soltani-Zangbar, Suhang Song, Yimeng Song, Reed J D Sorensen, Sergey Soshnikov, Houman Sotoudeh, Alieu Sowe, Mu'awiyyah Babale Sufiyan, Ryan Suk, Muhammad Suleman, Rizwan Suliankatchi Abdulkader, Saima Sultana, Daniel Sur, Miklós Szócska, Seidamir Pasha Tabaeian, Rafael Tabarés-Seisdedos, Seyyed Mohammad Tabatabaei, Takahiro Tabuchi, Hooman Tadbiri, Ensiyeh Taheri, Majid Taheri, Moslem Taheri Soodejani, Ken Takahashi, Iman M Talaat, Mircea Tampa, Ker-Kan Tan, Nathan Y Tat, Vivian Y Tat, Ahmad Tavakoli, Arash Tavakoli, Arash Tehrani-Banihashemi, Yohannes Tekalegn, Fisaha Haile Tesfay, Rekha Thapar, Aravind Thavamani, Viveksandeep Thoguluva Chandrasekar, Nihal Thomas, Nikhil Kenny Thomas, Jansje Henny Vera Ticoalu, Amir Tiyuri, Daniel Nigusse Tollosa, Roman Topor-Madry, Mathilde Touvier, Marcos Roberto Tovani-Palone, Eugenio Traini, Mai Thi Ngoc Tran, Jaya Prasad Tripathy, Gebresilasea Gendisha Ukke, Irfan Ullah, Saif Ullah, Sana Ullah, Bhaskaran Unnikrishnan, Marco Vacante, Maryam Vaezi, Sahel Valadan Tahbaz, Pascual R Valdez, Constantine Vardavas, Shoban Babu Varthya, Siavash Vaziri, Diana Zuleika Velazquez, Massimiliano Veroux, Paul J Villeneuve, Francesco S Violante, Sergey Konstantinovitch Vladimirov, Vasily Vlassov, Bay Vo, Linh Gia Vu, Abdul Wadood Wadood, Yasir Waheed, Mandaras Tariku Walde, Richard G Wamai, Cong Wang, Fang Wang, Ning Wang, Yu Wang, Paul Ward, Abdul Waris, Ronny Westerman, Nuwan Darshana Wickramasinghe, Melat Woldemariam, Berhanu Woldu, Hong Xiao, Suowen Xu, Xiaoyue Xu, Lalit Yadav, Seyed Hossein Yahyazadeh Jabbari, Lin Yang, Fereshteh Yazdanpanah, Yigizie Yeshaw, Yazachew Yismaw, Naohiro Yonemoto, Mustafa Z Younis, Zabihollah Yousefi, Fatemeh Yousefian, Chuanhua Yu, Yong Yu, Ismaeel Yunusa, Mazyar Zahir, Nazar Zaki, Burhan Abdullah Zaman, Moein Zangiabadian, Fariba Zare, Iman Zare, Zahra Zareshahrabadi, Armin Zarrintan, Mikhail Sergeevich Zastrozhin, Mohammad A Zeineddine, Dongyu Zhang, Jianrong Zhang, Yunquan Zhang, Zhi-Jiang Zhang, Linghui Zhou, Sanjay Zodpey, Mohammad Zoladl, Theo Vos, Simon I Hay, Lisa M Force, Christopher J L Murray, Helsinki University Hospital Area, HUS Comprehensive Cancer Center, Tran, K, Lang, J, Compton, K, Xu, R, Acheson, A, Henrikson, H, Kocarnik, J, Penberthy, L, Aali, A, Abbas, Q, Abbasi, B, Abbasi-Kangevari, M, Abbasi-Kangevari, Z, Abbastabar, H, Abdelmasseh, M, Abd-Elsalam, S, Abdelwahab, A, Abdoli, G, Abdulkadir, H, Abedi, A, Abegaz, K, Abidi, H, Aboagye, R, Abolhassani, H, Absalan, A, Abtew, Y, Abubaker Ali, H, Abu-Gharbieh, E, Achappa, B, Acuna, J, Addison, D, Addo, I, Adegboye, O, Adesina, M, Adnan, M, Adnani, Q, Advani, S, Afrin, S, Afzal, M, Aggarwal, M, Ahinkorah, B, Ahmad, A, Ahmad, R, Ahmad, S, Ahmadi, S, Ahmed, H, Ahmed, L, Ahmed, M, Ahmed Rashid, T, Aiman, W, Ajami, M, Akalu, G, Akbarzadeh-Khiavi, M, Aklilu, A, Akonde, M, Akunna, C, Al Hamad, H, Alahdab, F, Alanezi, F, Alanzi, T, Alessy, S, Algammal, A, Al-Hanawi, M, Alhassan, R, Ali, B, Ali, L, Ali, S, Alimohamadi, Y, Alipour, V, Aljunid, S, Alkhayyat, M, Al-Maweri, S, Almustanyir, S, Alonso, N, Alqalyoobi, S, Al-Raddadi, R, Al-Rifai, R, Al-Sabah, S, Al-Tammemi, A, Altawalah, H, Alvis-Guzman, N, Amare, F, Ameyaw, E, Aminian Dehkordi, J, Amirzade-Iranaq, M, Amu, H, Amusa, G, Ancuceanu, R, Anderson, J, Animut, Y, Anoushiravani, A, Anoushirvani, A, Ansari-Moghaddam, A, Ansha, M, Antony, B, Antwi, M, Anwar, S, Anwer, R, Anyasodor, A, Arabloo, J, Arab-Zozani, M, Aremu, O, Argaw, A, Ariffin, H, Aripov, T, Arshad, M, Artaman, A, Arulappan, J, Aruleba, R, Aryannejad, A, Asaad, M, Asemahagn, M, Asemi, Z, Asghari-Jafarabadi, M, Ashraf, T, Assadi, R, Athar, M, Athari, S, Atout, M, Attia, S, Aujayeb, A, Ausloos, M, Avila-Burgos, L, Awedew, A, Awoke, M, Awoke, T, Ayala Quintanilla, B, Ayana, T, Ayen, S, Azadi, D, Azadnajafabad, S, Azami-Aghdash, S, Azanaw, M, Azangou-Khyavy, M, Azari Jafari, A, Azizi, H, Azzam, A, Babajani, A, Badar, M, Badiye, A, Baghcheghi, N, Bagheri, N, Bagherieh, S, Bahadory, S, Baig, A, Baker, J, Bakhtiari, A, Bakshi, R, Banach, M, Banerjee, I, Bardhan, M, Barone-Adesi, F, Barra, F, Barrow, A, Bashir, N, Bashiri, A, Basu, S, Batiha, A, Begum, A, Bekele, A, Belay, A, Belete, M, Belgaumi, U, Bell, A, Belo, L, Benzian, H, Berhie, A, Bermudez, A, Bernabe, E, Bhagavathula, A, Bhala, N, Bhandari, B, Bhardwaj, N, Bhardwaj, P, Bhattacharyya, K, Bhojaraja, V, Bhuyan, S, Bibi, S, Bilchut, A, Bintoro, B, Biondi, A, Birega, M, Birhan, H, Bjorge, T, Blyuss, O, Bodicha, B, Bolla, S, Boloor, A, Bosetti, C, Braithwaite, D, Brauer, M, Brenner, H, Briko, A, Briko, N, Buchanan, C, Bulamu, N, Bustamante-Teixeira, M, Butt, M, Butt, N, Butt, Z, Caetano dos Santos, F, Camera, L, Cao, C, Cao, Y, Carreras, G, Carvalho, M, Cembranel, F, Cerin, E, Chakraborty, P, Charalampous, P, Chattu, V, Chimed-Ochir, O, Chirinos-Caceres, J, Cho, D, Cho, W, Christopher, D, Chu, D, Chukwu, I, Cohen, A, Conde, J, Cortes, S, Costa, V, Cruz-Martins, N, Culbreth, G, Dadras, O, Dagnaw, F, Dahlawi, S, Dai, X, Dandona, L, Dandona, R, Daneshpajouhnejad, P, Danielewicz, A, Dao, A, Darvishi Cheshmeh Soltani, R, Darwesh, A, Das, S, Davitoiu, D, Davtalab Esmaeili, E, De la Hoz, F, Debela, S, Dehghan, A, Demisse, B, Demisse, F, Denova-Gutierrez, E, Derakhshani, A, Derbew Molla, M, Dereje, D, Deribe, K, Desai, R, Desalegn, M, Dessalegn, F, Dessalegni, S, Dessie, G, Desta, A, Dewan, S, Dharmaratne, S, Dhimal, M, Dianatinasab, M, Diao, N, Diaz, D, Digesa, L, Dixit, S, Doaei, S, Doan, L, Doku, P, Dongarwar, D, dos Santos, W, Driscoll, T, Dsouza, H, Durojaiye, O, Edalati, S, Eghbalian, F, Ehsani-Chimeh, E, Eini, E, Ekholuenetale, M, Ekundayo, T, Ekwueme, D, El Tantawi, M, Elbahnasawy, M, Elbarazi, I, Elghazaly, H, Elhadi, M, El-Huneidi, W, Emamian, M, Engelbert Bain, L, Enyew, D, Erkhembayar, R, Eshetu, T, Eshrati, B, Eskandarieh, S, Espinosa-Montero, J, Etaee, F, Etemadimanesh, A, Eyayu, T, Ezeonwumelu, I, Ezzikouri, S, Fagbamigbe, A, Fahimi, S, Fakhradiyev, I, Faraon, E, Fares, J, Farmany, A, Farooque, U, Farrokhpour, H, Fasanmi, A, Fatehizadeh, A, Fatima, W, Fattahi, H, Fekadu, G, Feleke, B, Ferrari, A, Ferrero, S, Ferro Desideri, L, Filip, I, Fischer, F, Foroumadi, R, Foroutan, M, Fukumoto, T, Gaal, P, Gad, M, Gadanya, M, Gaipov, A, Galehdar, N, Gallus, S, Garg, T, Gaspar Fonseca, M, Gebremariam, Y, Gebremeskel, T, Gebremichael, M, Geda, Y, Gela, Y, Gemeda, B, Getachew, M, Ghaffari, K, Ghafourifard, M, Ghamari, S, Ghasemi Nour, M, Ghassemi, F, Ghimire, A, Ghith, N, Gholamalizadeh, M, Gholizadeh Navashenaq, J, Ghozy, S, Gilani, S, Gill, P, Ginindza, T, Gizaw, A, Glasbey, J, Godos, J, Goel, A, Golechha, M, Goleij, P, Golinelli, D, Golitaleb, M, Gorini, G, Goulart, B, Grosso, G, Guadie, H, Gubari, M, Gudayu, T, Guerra, M, Gunawardane, D, Gupta, B, Gupta, S, Gupta, V, Gurara, M, Guta, A, Habibzadeh, P, Haddadi Avval, A, Hafezi-Nejad, N, Hajj Ali, A, Haj-Mirzaian, A, Halboub, E, Halimi, A, Halwani, R, Hamadeh, R, Hameed, S, Hamidi, S, Hanif, A, Hariri, S, Harlianto, N, Haro, J, Hartono, R, Hasaballah, A, Hasan, S, Hasani, H, Hashemi, S, Hassan, A, Hassanipour, S, Hayat, K, Heidari, G, Heidari, M, Heidarymeybodi, Z, Herrera-Serna, B, Herteliu, C, Hezam, K, Hiraike, Y, Hlongwa, M, Holla, R, Holm, M, Horita, N, Hoseini, M, Hossain, M, Hosseini, M, Hosseinzadeh, A, Hosseinzadeh, M, Hostiuc, M, Hostiuc, S, Househ, M, Huang, J, Hugo, F, Humayun, A, Hussain, S, Hussein, N, Hwang, B, Ibitoye, S, Iftikhar, P, Ikuta, K, Ilesanmi, O, Ilic, I, Ilic, M, Immurana, M, Innos, K, Iranpour, P, Irham, L, Islam, M, Islam, R, Islami, F, Ismail, N, Isola, G, Iwagami, M, J, L, Jaiswal, A, Jakovljevic, M, Jalili, M, Jalilian, S, Jamshidi, E, Jang, S, Jani, C, Javaheri, T, Jayarajah, U, Jayaram, S, Jazayeri, S, Jebai, R, Jemal, B, Jeong, W, Jha, R, Jindal, H, John-Akinola, Y, Jonas, J, Joo, T, Joseph, N, Joukar, F, Jozwiak, J, Jurisson, M, Kabir, A, Kacimi, S, Kadashetti, V, Kahe, F, Kakodkar, P, Kalankesh, L, Kalhor, R, Kamal, V, Kamangar, F, Kamath, A, Kanchan, T, Kandaswamy, E, Kandel, H, Kang, H, Kanno, G, Kapoor, N, Kar, S, Karanth, S, Karaye, I, Karch, A, Karimi, A, Kassa, B, Katoto, P, Kauppila, J, Kaur, H, Kebede, A, Keikavoosi-Arani, L, Kejela, G, Kemp Bohan, P, Keramati, M, Keykhaei, M, Khajuria, H, Khan, A, Khan, E, Khan, G, Khan, M, Khanali, J, Khatab, K, Khatatbeh, M, Khatib, M, Khayamzadeh, M, Khayat Kashani, H, Khazeei Tabari, M, Khezeli, M, Khodadost, M, Kim, M, Kim, Y, Kisa, A, Kisa, S, Klugar, M, Klugarova, J, Kolahi, A, Kolkhir, P, Kompani, F, Koul, P, Koulmane Laxminarayana, S, Koyanagi, A, Krishan, K, Krishnamoorthy, Y, Kucuk Bicer, B, Kugbey, N, Kulimbet, M, Kumar, A, Kumar, G, Kumar, N, Kurmi, O, Kuttikkattu, A, La Vecchia, C, Lahiri, A, Lal, D, Lam, J, Lan, Q, Landires, I, Larijani, B, Lasrado, S, Lau, J, Lauriola, P, Ledda, C, Lee, S, Lee, W, Lee, Y, Legesse, S, Leigh, J, Leong, E, Li, M, Lim, S, Liu, G, Liu, J, Lo, C, Lohiya, A, Lopukhov, P, Lorenzovici, L, Lotfi, M, Loureiro, J, Lunevicius, R, Madadizadeh, F, Mafi, A, Magdeldin, S, Mahjoub, S, Mahmoodpoor, A, Mahmoudi, M, Mahmoudimanesh, M, Mahumud, R, Majeed, A, Majidpoor, J, Makki, A, Makris, K, Malakan Rad, E, Malekpour, M, Malekzadeh, R, Malik, A, Mallhi, T, Mallya, S, Mamun, M, Manda, A, Mansour-Ghanaei, F, Mansouri, B, Mansournia, M, Mantovani, L, Martini, S, Martorell, M, Masoudi, S, Masoumi, S, Matei, C, Mathews, E, Mathur, M, Mathur, V, Mckee, M, Meena, J, Mehmood, K, Mehrabi Nasab, E, Mehrotra, R, Melese, A, Mendoza, W, Menezes, R, Mengesha, S, Mensah, L, Mentis, A, Mera-Mamian, A, Meretoja, T, Merid, M, Mersha, A, Meselu, B, Meshkat, M, Mestrovic, T, Miao Jonasson, J, Miazgowski, T, Michalek, I, Mijena, G, Miller, T, Mir, S, Mirinezhad, S, Mirmoeeni, S, Mirza-Aghazadeh-Attari, M, Mirzaei, H, Misganaw, A, Misra, S, Mohammad, K, Mohammadi, E, Mohammadi, M, Mohammadian-Hafshejani, A, Mohammadpourhodki, R, Mohammed, A, Mohammed, S, Mohan, S, Mohseni, M, Moka, N, Mokdad, A, Molassiotis, A, Molokhia, M, Momenzadeh, K, Momtazmanesh, S, Monasta, L, Mons, U, Montasir, A, Montazeri, F, Montero, A, Moosavi, M, Moradi, A, Moradi, Y, Moradi Sarabi, M, Moraga, P, Morawska, L, Morrison, S, Morze, J, Mosapour, A, Mostafavi, E, Mousavi, S, Mousavi Isfahani, H, Mousavi Khaneghah, A, Mpundu-Kaambwa, C, Mubarik, S, Mulita, F, Munblit, D, Munro, S, Murillo-Zamora, E, Musa, J, Nabhan, A, Nagarajan, A, Nagaraju, S, Nagel, G, Naghipour, M, Naimzada, M, Nair, T, Naqvi, A, Narasimha Swamy, S, Narayana, A, Nassereldine, H, Natto, Z, Nayak, B, Ndejjo, R, Nduaguba, S, Negash, W, Nejadghaderi, S, Nejati, K, Neupane Kandel, S, Nguyen, H, Niazi, R, Noor, N, Noori, M, Noroozi, N, Nouraei, H, Nowroozi, A, Nunez-Samudio, V, Nzoputam, C, Nzoputam, O, Oancea, B, Odukoya, O, Oghenetega, O, Ogunsakin, R, Oguntade, A, Oh, I, Okati-Aliabad, H, Okekunle, A, Olagunju, A, Olagunju, T, Olakunde, B, Olufadewa, I, Omer, E, Omonisi, A, Ong, S, Onwujekwe, O, Orru, H, Otstavnov, S, Oulhaj, A, Oumer, B, Owopetu, O, Oyinloye, B, P A, M, Padron-Monedero, A, Padubidri, J, Pakbin, B, Pakshir, K, Pakzad, R, Palicz, T, Pana, A, Pandey, A, Pant, S, Pardhan, S, Park, E, Park, S, Patel, J, Pati, S, Paudel, R, Paudel, U, Paun, M, Pazoki Toroudi, H, Peng, M, Pereira, J, Pereira, R, Perna, S, Perumalsamy, N, Pestell, R, Pezzani, R, Piccinelli, C, Pillay, J, Piracha, Z, Pischon, T, Postma, M, Pourabhari Langroudi, A, Pourshams, A, Pourtaheri, N, Prashant, A, Qadir, M, Quazi Syed, Z, Rabiee, M, Rabiee, N, Radfar, A, Radhakrishnan, R, Radhakrishnan, V, Raeisi, M, Rafiee, A, Rafiei, A, Raheem, N, Rahim, F, Rahman, M, Rahmani, A, Rahmani, S, Rahmanian, V, Rajai, N, Rajesh, A, Ram, P, Ramezanzadeh, K, Rana, J, Ranabhat, K, Ranasinghe, P, Rao, C, Rao, S, Rashedi, S, Rashidi, A, Rashidi, M, Ratan, Z, Rawaf, D, Rawaf, S, Rawal, L, Rawassizadeh, R, Razeghinia, M, Rehman, A, Rehman, I, Reitsma, M, Renzaho, A, Rezaei, M, Rezaei, N, Rezaei, S, Rezaeian, M, Rezapour, A, Riad, A, Rikhtegar, R, Rios-Blancas, M, Roberts, T, Rohloff, P, Romero-Rodriguez, E, Roshandel, G, Rwegerera, G, S, M, Saber-Ayad, M, Saberzadeh-Ardestani, B, Sabour, S, Saddik, B, Sadeghi, E, Saeb, M, Saeed, U, Safaei, M, Safary, A, Sahebazzamani, M, Sahebkar, A, Sahoo, H, Sajid, M, Salari, H, Salehi, S, Salem, M, Salimzadeh, H, Samodra, Y, Samy, A, Sanabria, J, Sankararaman, S, Sanmarchi, F, Santric-Milicevic, M, Saqib, M, Sarveazad, A, Sarvi, F, Sathian, B, Satpathy, M, Sayegh, N, Schneider, I, Schwarzinger, M, Sekerija, M, Senthilkumaran, S, Sepanlou, S, Seylani, A, Seyoum, K, Sha, F, Shafaat, O, Shah, P, Shahabi, S, Shahid, I, Shahrbaf, M, Shahsavari, H, Shaikh, M, Shaka, M, Shaker, E, Shannawaz, M, Sharew, M, Sharifi, A, Sharifi-Rad, J, Sharma, P, Shashamo, B, Sheikh, A, Sheikh, M, Sheikhbahaei, S, Sheikhi, R, Sheikhy, A, Shepherd, P, Shetty, A, Shetty, J, Shetty, R, Shibuya, K, Shirkoohi, R, Shirzad-Aski, H, Shivakumar, K, Shivalli, S, Shivarov, V, Shobeiri, P, Shokri Varniab, Z, Shorofi, S, Shrestha, S, Sibhat, M, Siddappa Malleshappa, S, Sidemo, N, Silva, D, Silva, L, Silva Julian, G, Silvestris, N, Simegn, W, Singh, A, Singh, G, Singh, H, Singh, J, Singh, P, Singh, S, Sinha, D, Sinke, A, Siraj, M, Sitas, F, Siwal, S, Skryabin, V, Skryabina, A, Socea, B, Soeberg, M, Sofi-Mahmudi, A, Solomon, Y, Soltani-Zangbar, M, Song, S, Song, Y, Sorensen, R, Soshnikov, S, Sotoudeh, H, Sowe, A, Sufiyan, M, Suk, R, Suleman, M, Suliankatchi Abdulkader, R, Sultana, S, Sur, D, Szocska, M, Tabaeian, S, Tabares-Seisdedos, R, Tabatabaei, S, Tabuchi, T, Tadbiri, H, Taheri, E, Taheri, M, Taheri Soodejani, M, Takahashi, K, Talaat, I, Tampa, M, Tan, K, Tat, N, Tat, V, Tavakoli, A, Tehrani-Banihashemi, A, Tekalegn, Y, Tesfay, F, Thapar, R, Thavamani, A, Thoguluva Chandrasekar, V, Thomas, N, Ticoalu, J, Tiyuri, A, Tollosa, D, Topor-Madry, R, Touvier, M, Tovani-Palone, M, Traini, E, Tran, M, Tripathy, J, Ukke, G, Ullah, I, Ullah, S, Unnikrishnan, B, Vacante, M, Vaezi, M, Valadan Tahbaz, S, Valdez, P, Vardavas, C, Varthya, S, Vaziri, S, Velazquez, D, Veroux, M, Villeneuve, P, Violante, F, Vladimirov, S, Vlassov, V, Vo, B, Vu, L, Wadood, A, Waheed, Y, Walde, M, Wamai, R, Wang, C, Wang, F, Wang, N, Wang, Y, Ward, P, Waris, A, Westerman, R, Wickramasinghe, N, Woldemariam, M, Woldu, B, Xiao, H, Xu, S, Xu, X, Yadav, L, Yahyazadeh Jabbari, S, Yang, L, Yazdanpanah, F, Yeshaw, Y, Yismaw, Y, Yonemoto, N, Younis, M, Yousefi, Z, Yousefian, F, Yu, C, Yu, Y, Yunusa, I, Zahir, M, Zaki, N, Zaman, B, Zangiabadian, M, Zare, F, Zare, I, Zareshahrabadi, Z, Zarrintan, A, Zastrozhin, M, Zeineddine, M, Zhang, D, Zhang, J, Zhang, Y, Zhang, Z, Zhou, L, Zodpey, S, Zoladl, M, Vos, T, Hay, S, Force, L, Murray, C, Epidemiologie, RS: NUTRIM - R3 - Respiratory & Age-related Health, Bill & Melinda Gates Foundation, Kuwait University (Kuwait), Ministry of Higher Education (Malasia), Lega Italiana per la Lotta ai Tumori, Health Effects Institute (Estados Unidos), Unión Europea. Comisión Europea. European Research Council (ERC), Unión Europea. Comisión Europea. H2020, Fundação para a Ciência e Tecnologia (Portugal), African-German Network of Excellence in Science (AGNES), Federal Ministry of Education & Research (Alemania), Alexander von Humboldt Foundation, Novo Nordisk Foundation, National Institute for Health Research (Reino Unido), National Health and Medical Research Council (Australia), Romanian National Authority for Scientific Research and Innovation, Romanian Ministry of Research Innovation and Digitalization, Ministry of Education, Science and Technological Development (Serbia), Sigrid Jusélius Foundation, Finnish Cancer Foundation, Datta Meghe Institute of Medical Sciences (India), Xiamen University (Malasia), Manipal Academy of Higher Education (India), Panjab University (India), Sistema Nacional de Investigación (Panamá), Secretaría Nacional de Ciencia, Tecnología e Innovación (Panamá), Ministry of Science and Technology (Taiwan), Lung Foundation Australia, National Natural Science Foundation of China, Wellcome Trust, UNSW Sydney (Australia), ICMR - National Institute of Epidemiology (India), University of Tasmania (Australia), National Council for Scientific and Technological Development (Brasil), Coordenação de Aperfeicoamento de Pessoal de Nível Superior (Brasil), Institute for Advanced Studies in Basic Sciences (Irán), Ain Shams University (Egipto), International Center of Medical Sciences Research (Islamabad), National Institutes of Health (Estados Unidos), University of Oxford (Reino Unido), National Institute of Genetic Engineering and Biotechnology (Irán), Marga und Walter Boll - Stiftung, Ministero della Salute (Italia), IRCCS Materno Infantile Burlo Garofolo (Italia), King College London, Wellcome Trust/DBT India Alliance (India), Public Health, University of St Andrews. School of Medicine, and University of St Andrews. Population and Behavioural Science Division
- Subjects
Male ,DEATHS ,DALY, cancer, risk factors ,Medizin ,systematic analysis ,Global Health ,Risk Assessment ,Cancer prevention ,Global Burden of Disease ,RC0254 ,Risk-attributable cancer deaths ,SDG 3 - Good Health and Well-being ,RA0421 ,Risk Factors ,RA0421 Public health. Hygiene. Preventive Medicine ,Quality-Adjusted Life Year ,Neoplasms ,cancer ,Humans ,Global Burden of Disease Study ,UK ,Medicine(all) ,MCC ,RC0254 Neoplasms. Tumors. Oncology (including Cancer) ,Risk Factor ,Smoking ,COVID-19 ,3rd-DAS ,General Medicine ,Disability-adjusted life-years ,SOCIAL DETERMINANTS ,Risk assessments ,risk factor ,Cardiovascular and Metabolic Diseases ,3121 General medicine, internal medicine and other clinical medicine ,OBESITY ,Cancer burden ,Neoplasm ,Female ,LIFE-STYLE ,Quality-Adjusted Life Years ,HEALTH ,RA ,Human ,RC - Abstract
Background: Understanding the magnitude of cancer burden attributable to potentially modifiable risk factors is crucial for development of effective prevention and mitigation strategies. We analysed results from the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2019 to inform cancer control planning efforts globally. Methods: The GBD 2019 comparative risk assessment framework was used to estimate cancer burden attributable to behavioural, environmental and occupational, and metabolic risk factors. A total of 82 risk-outcome pairs were included on the basis of the World Cancer Research Fund criteria. Estimated cancer deaths and disability-adjusted life-years (DALYs) in 2019 and change in these measures between 2010 and 2019 are presented. Findings: Globally, in 2019, the risk factors included in this analysis accounted for 4·45 million (95% uncertainty interval 4·01-4·94) deaths and 105 million (95·0-116) DALYs for both sexes combined, representing 44·4% (41·3-48·4) of all cancer deaths and 42·0% (39·1-45·6) of all DALYs. There were 2·88 million (2·60-3·18) risk-attributable cancer deaths in males (50·6% [47·8-54·1] of all male cancer deaths) and 1·58 million (1·36-1·84) risk-attributable cancer deaths in females (36·3% [32·5-41·3] of all female cancer deaths). The leading risk factors at the most detailed level globally for risk-attributable cancer deaths and DALYs in 2019 for both sexes combined were smoking, followed by alcohol use and high BMI. Risk-attributable cancer burden varied by world region and Socio-demographic Index (SDI), with smoking, unsafe sex, and alcohol use being the three leading risk factors for risk-attributable cancer DALYs in low SDI locations in 2019, whereas DALYs in high SDI locations mirrored the top three global risk factor rankings. From 2010 to 2019, global risk-attributable cancer deaths increased by 20·4% (12·6-28·4) and DALYs by 16·8% (8·8-25·0), with the greatest percentage increase in metabolic risks (34·7% [27·9-42·8] and 33·3% [25·8-42·0]). Interpretation: The leading risk factors contributing to global cancer burden in 2019 were behavioural, whereas metabolic risk factors saw the largest increases between 2010 and 2019. Reducing exposure to these modifiable risk factors would decrease cancer mortality and DALY rates worldwide, and policies should be tailored appropriately to local cancer risk factor burden. We are grateful to the surveillance systems, including cancer registries, that generated and shared observed cancer burden data. S M Aljunid acknowledges the Department of Health Policy and Management, College of Public Health, Kuwait University for the approval and support to participate in this research project. H Ariffin acknowledges support from the Ministry of Higher Education, Malaysia (grant FRGS/1/2021/SKK0/UM/01/1). F Barra acknowledges support from Lega Italiana per la Lotta contro i Tumori - LILT - Bando 5 x 1000 anno 2019. L Belo and M Carvalho acknowledge the support from FCT in the scope of the project UIDP/04378/2020 and UIDB/04378/2020 of UCIBIO and the project LA/P/0140/2020 of i4HB. A J Cohen was supported by the Health Effects Institute, Boston, MA, USA. J Conde acknowledges financial support from the European Research Council - ERC Starting Grant 848325. V M Costa acknowledges her grant (SFRH/BHD/110001/2015), received by Portuguese national funds through Fundação para a Ciência e Tecnologia (FCT), IP, under the Norma Transitória DL57/2016/CP1334/CT0006. T C Ekundayo was supported by the African-German Network of Excellence in Science (AGNES), the Federal Ministry of Education and Research (BMBF) and the Alexander von Humboldt Foundation (AvH). N Ghith acknowledges support from a grant from Novo Nordisk Foundation (NNF16OC0021856). J C Glasbey is support by a Doctoral Research Fellowship from the National Institute of Health Research (NIHR300175). V K Gupta and V B Gupta acknowledge funding support from National Health and Medical Research Council (NHMRC), Australia. C Herteliu, A Pana, and M Ausloos acknowledge partial support by a grant of the Romanian National Authority for Scientific Research and Innovation, CNDS-UEFISCDI, project number PN-III-P4-ID-PCCF-2016-0084. C Herteliu is also partially supported by a grant of the Romanian Ministry of Research Innovation and Digitalization, MCID, project number ID-585-CTR-42-PFE-2021. S Hussain was supported from Operational Programme Research, Development and Education–Project, Postdoc2MUNI (number CZ.02.2. 69/0.0/0.0/18_053/0016952). M Jakovljevic acknowledges partial support through the grant OI 175 014 of the Ministry of Education Science and Technological Development of the Republic of Serbia. J H Kauppila acknowledges research grants from Sigrid Jusélius Foundation and the Finnish Cancer Foundation. M N Khatib acknowledges support from Datta Meghe Institute of Medical Sciences (deemed-to-be-university). Y J Kim was supported by the Research Management Centre, Xiamen University Malaysia [XMUMRF/2020-C6/ITCM/0004]. S L Koulmane Laxminarayana acknowledges institutional assistance by Manipal Academy of Higher Education, Manipal. K Krishan is supported by the UGC Centre of Advanced Study (Phase II), awarded to the Department of Anthropology, Panjab University, Chandigarh, India. I Landires is a member of the Sistema Nacional de Investigación (SNI), which is supported by Panama’s Secretaría Nacional de Ciencia, Tecnología e Innovación (SENACYT). M-C Li was supported by the Ministry of Science and Technology, Taiwan (MOST 110-2314-B-003-001). G Liu acknowledges support from the CREATE Hope scientific fellowship from Lung Foundation Australia. J Liu acknowledges support from the National Natural Science Foundation (72122001). J A Loureiro was supported by Scientific Employment Stimulus (FCT; CEECINST/00049/2018). E Mathews is supported by a Clinical and Public Health Early Career Fellowship (grant number IA/CPHE/17/1/503345) from the DBT India Alliance/Wellcome Trust Department of Biotechnology, India Alliance (2018–2023). T J Meretoja was supported by an unrestricted grant from Cancer Foundation Finland sr. S Mohammed acknowledges a fellowship grant from Alexander von Humboldt Foundation, outside the submitted work. M Molokhia is supported by the National Institute for Health Research Biomedical Research Center at Guy’s and St Thomas’ National Health Service Foundation Trust and King’s College London. L Monasta received support from the Italian Ministry of Health at the Institute for Maternal and Child Health IRCCS Burlo Garofolo, Trieste - Italy (RC 34/2017). U Mons is supported by the Marga and Walter Boll Foundation, Kerpen, Germany. M A Moosavi acknowledges the financial support of National Institute of Genetics Engineering and Biotechnology (NIGEB). J Musa acknowledges support from the NIH/FICK43TW011416 for research-protected time for cervical cancer research and career development at University of Jos. V Nuñez-Samudio is a member of the Sistema Nacional de Investigación (SNI), which is supported by Panama’s Secretaría Nacional de Ciencia, Tecnología e Innovación (SENACYT). O O Odukoya acknowledges support by the Fogarty International Center of the National Institutes of Health under the award number K43TW010704 for research-protected time. The content is solely the responsibility of all the authors and does not necessarily represent the official views of the National Institutes of Health. A S Oguntade acknowledges funding by a doctoral scholarship from the Nuffield Department of Population Health, University of Oxford (Oxford Population Health). J R Padubidri acknowledges Kasturba Medical College, Mangalore, Manipal Academy of Higher Education, Manipal for their constant support in research collaborations. R G Pestell acknowledges support from NIH grant W81XWH1810605 Breast Cancer Research, Breakthrough Grant R21 CA235139-01. Z Z Piracha acknowledges the International Center of Medical Sciences Research (ICMSR), Islamabad (44000), Pakistan. R A Radhakrishnan acknowledges support from Wellcome Trust/DBT India Alliance - IA/CPHI/18/1/503927. U Saeed acknowledges the International Center of Medical Sciences Research (ICMSR), Islamabad, Pakistan. A M Samy acknowledges the support from Ain Shams University and the Egyptian Fulbright Mission Program. F Sha was supported by the Shenzhen Science and Technology Program (grant number KQTD20190929172835662). H R Shahsavari acknowledges the Institute for Advanced Studies in Basic Sciences (IASBS) Research Council. A Shetty acknowledges Kasturba Medical College, Mangalore, Manipal Academy of Higher Education, Manipal for all the academic support. D A S Silva acknowledges financing in part by the Coordenação de Aperfeiçoamento de Pessoal de Nível Superior—Brazil (CAPES)—Finance Code 001 and D A S Silva is supported in part by CNPq-Brazil (309589/2021-5). L M L R Silva was supported by project CENTRO-04-3559-FSE-000162, Fundo Social Europeu (FSE). Am Singh is supported by the International Graduate Research Scholarship, University of Tasmania. R Suliankatchi Abdulkader acknowledges support from ICMR—National Institute of Epidemiology. B Unnikrishnan acknowledges Kasturba Medical College, Mangalore, Manipal Academy of Higher Education, Manipal. H Xiao acknowledges support from the Public Health Sciences Division of the Fred Hutchinson Cancer Research Center. X Xu is supported by the University of New South Wales (Australia) Scientia Program. C Yu was supported by the National Natural Science Foundation of China (grant number 82173626) and Wuhan Medical Research Program of Joint Fund of Hubei Health Committee (grant number WJ2019H304). Sí
- Published
- 2022
23. Effect of pornography use on the sexual satisfaction: a systematic review and meta-analysis.
- Author
-
Abdi F, Pakzad R, Alidost F, Aghapour E, Mehrnoush V, and Banaei M
- Abstract
Objective: Dissatisfaction with an inividual's sex life is underlying factor that can lead to pornography addiction. The current research aims to understand the relationship between pornography use and sexual satisfaction., Methods: The pooled correlation coefficient with 95% confidence interval was calculated using random effects. The meta-regression method was used to examine factors affecting heterogeneity between studies and Egger's test was used to evaluate of publication bias., Results: 41 studies with a total sample size of 70541 participants were included in the meta-analysis. The pooled estimate for the correlation coefficient in total, in male and in female -0.06 (95% CI: -0.09 to -0.02), -0.07 (95% CI: -0.16 to 0.02) and -0.04 (95% CI: -0.08 to -0.01). The pooled estimate of correlation coefficient was -0.04 (95% CI: -0.07 to -0.02) in cross-sectional, -0.12 (95% CI: -0.19 to -0.05) in cohort, 0.00 (95% CI: -0.15 to 0.15) in studies that used self-report questionnaire and -0.06 (95% CI: -0.08 to -0.03) in studies that used online survey. Based on the results of the meta-regression, the publication year was found to have a significant effect on heterogeneity among studies ( B = 0.013, p = 0.018). However, study design, age, data collection method, quality score and sample size did not have a significant effect., Conclusions: There was a significant negative correlation between pornography and sexual satisfaction and the disaggregation of results by gender also indicated this negative correlation among women. However, the relationship between pornography and sexual satisfaction was not significant in men.
- Published
- 2024
- Full Text
- View/download PDF
24. Unveiling the diagnostic potential of diffusion kurtosis imaging and intravoxel incoherent motion for detecting and characterizing prostate cancer: a meta-analysis.
- Author
-
Rajabi P, Rezakhaniha B, Galougahi MHK, Mohammadimehr M, Sharifnia H, Pakzad R, and Niroomand H
- Abstract
Purpose: This study aims to assess the diagnostic capabilities of Diffusion Kurtosis Imaging (DKI) and Intravoxel Incoherent Motion (IVIM) in prostate cancer (PCa) detection and characterization., Materials: A comprehensive search was conducted across PubMed, Scopus, Web of Science, and the Cochrane Library for articles published up to September 10, 2023, that evaluated the diagnostic efficacy of MD, MK, Dt, f, and Dp parameters. Data were pooled using a bivariate mixed-effects regression model and analyzed with R software., Results: In total, 27 studies were included. The analysis revealed distinct diagnostic efficacies for DKI and IVIM. In the overall model, sensitivity and specificity were 0.807 and 0.797, respectively, with prospective studies showing higher specificity (0.858, p = 0.024). The detection model yielded increased sensitivity (0.845) and specificity (0.812), with DKI outperforming IVIM in both metrics (sensitivity: 0.87, p = 0.043; specificity: 0.837, p = 0.26); MD had high sensitivity (0.88) and specificity (0.82), while MK's specificity was significantly higher (0.854, p = 0.04); Dp's sensitivity was significantly lower (0.64, p = 0.016). In characterization, sensitivity and specificity were 0.708 and 0.735, respectively, with no significant differences between DKI and IVIM or Gleason Scores; MK had higher sensitivity (0.78, p = 0.039), and f's sensitivity was significantly lower (0.51, p = 0.019)., Conclusion: In summary, the study underscores DKI's enhanced diagnostic accuracy over IVIM in detecting PCa, with MK standing out for its precision. Conversely, Dp and f lag in diagnostic performance. Despite these promising results, the study highlights the imperative for standardized protocols and study designs to achieve reliable and consistent outcomes., (© 2024. The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature.)
- Published
- 2024
- Full Text
- View/download PDF
25. The Effect of Oral Gabapentin and Pregabalin as a Prodrug in Pain Control after Orthopedic Surgery on the Upper Limb: A Double-Blind Parallel Randomized Clinical Trial Study.
- Author
-
Nouri L, Roshanfekr R, Biderafsh A, Pakzad R, and Azadi H
- Abstract
Objective: To compare the effects of oral gabapentin (GBP) and pregabalin (PGB) in pain control after orthopedic surgery on the upper limb., Methods: In this double-blind randomized clinical trial study, 80 patients who were the candidates for elective orthopedic surgery on one of the parts of the upper limb were divided into two groups using balance-block randomization. For the first group, a 150 mg capsule of PGB (one hour before the surgery) and for the second group, a 300 mg capsule of GBP (two hours before the surgery) were prescribed. Patients were subjected to standard monitoring at the beginning and during surgery. The pain scores were evaluated at before surgery, in PACU (postanesthesia care unit), and 6 and 12 hours after the surgery by VAS (visual analog scale)., Results: In this study, 37 subjects were allocated to each group. The participation rate was 92.5%. The mean with 95% confidence interval (CI) of pain scores over 4 times in the PGB group was 4.03 (3.25-4.79), 3.76 (3.02-4.49), 3.65 (3.06-4.23), and 3.41 (2.88-3.93) and in the GBP group was 4.08 (3.33-4.83), 2.78 (2.11-4.45), 2.3 (2.05-2.54), and 2 (1.51-2.50), respectively. The within-group comparisons showed a significant decrease in the pain score over time ( P < 0.001). Also, the between-group comparison showed significant differences between the two groups in terms of pain score ( P < 0.001). In the end, results showed that there is a significant interaction between time and intervention for pain score ( P =0.042)., Conclusion: Although two medicines led to a reduction in the pain score, but the rate reduction in the PGB group was significantly more than that in the GBP group. This trial is registered with IRCT20211013052759N1., Competing Interests: The authors declare that they have no conflicts of interest., (Copyright © 2024 Lida Nouri et al.)
- Published
- 2024
- Full Text
- View/download PDF
26. Investigation of Epstein-Barr virus, Cytomegalovirus, Human herpesvirus 6, and Polyoma viruses (JC virus, BK virus) among Gastric cancer patients: A cross sectional study.
- Author
-
Soltani S, Farahani A, Shahbahrami R, Shateri Z, Emadi MS, Pakzad R, Lotfi M, Asanjarani B, Rasti A, Erfani Y, and Siri G
- Abstract
Background and Aims: Gastric cancer is a significant global issue with a high death rate. This malignancy could be associated with several viral agents such as EBV, CMV, HHV-6, JCV, and BKV., Objective: Evaluation of EBV, CMV, HHV-6 ,and JCV, BKV frequency among gastric cancer patients., Methods: In this cross-sectional study, a total number of 60 gastric cancer specimens (32 male, 28 female) were retrieved from the pathology lab. Formalin-fixed paraffin-embedded tissue was used for molecular testing. DNA was extracted from samples, according to protocol, and used for PCR reaction. Polymerase chain reactions were used to assess CMV, EBV, HHV-6, JCV, and BKV frequency., Results and Conclusion: The mean age of the participants was 61 years and 53.3% (32) of the participants were Male. A total number of 5 samples (8.34%) were infected with viral agents. Four male gastric samples were infected with EBV (6.67%) and only one female sample contained the BKV genome (1.67%). Totally 8.34% of the samples were infected with EBV and BKV. The CMV, HHV-6, and JCV genome was not detected in the samples. In conclusion, the presence of two viral agents including EBV and BKV among male and female samples respectively, and the genome of other viruses were not detected., Competing Interests: The authors declare no conflict of interest., (© 2024 The Authors. Health Science Reports published by Wiley Periodicals LLC.)
- Published
- 2024
- Full Text
- View/download PDF
27. What may encourage or deter health services utilization by people living with or at the risk of HIV/AIDS in special health centers? Qualitative evidence from a stigmatized community.
- Author
-
Bazyar M, Ghorabi ST, Sadeghifar J, Ranjbar M, Pakzad R, Bonyadi F, Khasi K, Shakiba E, Nourbakhsh M, Rezeghian L, Noshadi B, Bavandpour M, HasanBeigi A, and Behzadi A
- Subjects
- Humans, Female, Facilities and Services Utilization, Patient Acceptance of Health Care, Qualitative Research, Acquired Immunodeficiency Syndrome prevention & control, HIV Infections prevention & control, HIV Infections psychology, Sex Workers
- Abstract
Background: Behavioral Diseases Counseling Centers (BDCCs) and Vulnerable Women's Counseling Centers (VWCCs) in Iran are the main peripheral centers that offer educational, counseling, diagnostic, preventive, curative and protective services to individuals living with or at high risk of contracting HIV/AIDS and female sex workers respectively. Due to the social stigma surrounding HIV in Iran, this study aims to identify the factors that may hinder or encourage HIV/AIDS patients and women with risky sexual behaviors from visiting these centers., Methods: Conducted in 2023, this qualitative study involved individuals visiting BDCCs and VWCCs in two western provinces of Iran, Ilam and Kermanshah. The study participants included 21 health staff members working in BDCCs and VWCCs and 20 HIV/AIDS patients and vulnerable women with unsafe sexual behaviors referring to these centers. Purposive, snowball and maximum variation sampling techniques were applied to interview the participants. Interviews were conducted between January 5th and May 21st, 2023, using a semi-structure guideline. Interviews were transcribed and content analysis approach was applied to analyze data using MAXQDA20 software., Results: According to the findings, the barriers and facilitators of visiting specialized centers for HIV/AIDS patients and vulnerable women were categorized into three main categories, 10 subcategories and 35 sub-subcategories including: Medical and operational processes (4 subcategories and 12 sub-subcategories), mutual interactions between the personnel and visitors (people living with and at the risk of getting HIV/AIDS) (3 subcategory and 13 sub-subcategories), and physical characteristics of the centers (3 subcategories and 10 sub-subcategories)., Conclusions: To improve the performance of BDCCs and VWCCs and encourage people living with and at the risk of contracting HIV/AIDS to visit these centers regularly, health policy makers should consider modifying clinical processes, physical features, personnel behaviors and visitors' concerns raised by the interviewees and the issues identified in this study., (© 2024. The Author(s).)
- Published
- 2024
- Full Text
- View/download PDF
28. Expression of Selected Inflammatory Mediators with Different Clinical Characteristics of Pulpal Inflammation.
- Author
-
Sabeti MA, Nikghalb KD, Pakzad R, and Fouad AF
- Subjects
- Adult, Humans, Inflammation Mediators, Inflammation, Toothache diagnosis, Cytokines, Dental Pulp, Pulpitis diagnosis
- Abstract
Introduction: Accurately diagnosing the state of dental pulp is crucial when addressing tooth pain to determine the best treatment approach. This study aimed to investigate the concentration of inflammatory mediators in the dental pulp of mature teeth that have been exposed via caries but show no signs of apical periodontitis., Methods: Samples of pulpal blood from adults with mature teeth responsive to pulp testing and have carious pulp exposures were obtained. These samples were analyzed for 12 inflammatory cytokines and other inflammatory proteins using the Luminex assay platform. Clinical factors were correlated with cytokine levels, and statistical analysis was performed to evaluate the impact of these factors on cytokine expression., Results: Of the 36 patients that were included, 44.44% took pain medications, 33.33% had prolonged pulpal bleeding, 41.67% felt spontaneous pain, and 72.22% were diagnosed with symptomatic irreversible pulpitis. Significant correlations existed between presenting pain scores and levels of interleukin (IL)-1α, IL-6, and IL-8 (P < .05). Factors like analgesic medication intake, pain to percussion, pain to thermal testing, spontaneous pain, and nocturnal pain were significantly associated with higher levels of specific inflammatory proteins. No significant associations were observed with pain to palpation, bleeding time, or pulpal diagnosis., Conclusions: Inflammatory proteins, including cytokine levels may play a critical role in characterizing pulpal inflammation. Future studies should investigate the role of these potential biomarkers in determining the diagnosis of pulpitis and the prognosis of vital pulp therapy., (Copyright © 2023 American Association of Endodontists. Published by Elsevier Inc. All rights reserved.)
- Published
- 2024
- Full Text
- View/download PDF
29. Prevalence of linezolid resistance in Streptococcus pneumoniae isolates: a systematic review and meta-analysis.
- Author
-
Heidary M, Dashtbin S, Asadi A, Asadollahi P, Khatib A, Ebrahimi MA, Ghanbari Z, Darbandi A, Ghanavati R, and Pakzad R
- Abstract
Aim: This study aimed to understand the current level of linezolid (LNZ) resistance in Streptococcus pneumoniae isolates reported over the past 10 years. Material & methods: An electronic search was conducted for the following keywords: (( Streptococcus pneumoniae [title/abstract]) OR ( Pneumococcus [title/abstract]) OR (Pneumococci [title/abstract]) AND (linezolid [title/abstract]) OR (Zyvox [title/abstract])) OR (Zyvoxid [title/abstract])). Result: Out of all the studies, 80 had a cross-sectional design, while 11 followed a cohort approach. The prevalence of LNZ resistance among S. pneumoniae isolates ranged from 0% to 4.86%. Discussion: Urgent, high-powered, randomized, controlled trials with participants from endemic regions are needed to gain a comprehensive understanding of the impact on and significance of LNZ treatment to patients.
- Published
- 2024
- Full Text
- View/download PDF
30. Association of polymorphisms in TLR3 and TLR7 genes with susceptibility to COVID-19 among Iranian population: a retrospective case-control study.
- Author
-
Parsania M, Khorrami SMS, Hasanzad M, Parsania N, Nagozir S, Mokhtari N, Habibabadi HM, Ghaziasadi A, Soltani S, Jafarpour A, Pakzad R, and Jazayeri SM
- Abstract
Background and Objectives: Host genetic changes like single nucleotide polymorphisms (SNPs) are one of the main factors influencing susceptibility to viral infectious diseases. This study aimed to investigate the association between the host SNP of Toll-Like Receptor3 (TLR3) and Toll-Like Receptor7 (TLR7) genes involved in the immune system and susceptibility to COVID-19 in a sample of the Iranian population., Materials and Methods: This retrospective case-control study evaluated 244 hospitalized COVID-19 patients as the case group and 156 suspected COVID-19 patients with mild signs as the control group. The genomic DNA of patients was genotyped for TLR7 (rs179008 and rs179009) and TLR3 (rs3775291 and rs3775296) SNPs using the polymerase chain reaction-restriction fragment length polymorphism (PCR-RFLP) method., Results: A significant association between rs179008 SNP in the TLR7 gene and the susceptibility of COVID-19 was found between case and control groups. The AT genotype (Heterozygous) of TLR7 rs179008 A>T polymorphism showed a significant association with a 2.261-fold increased odds of COVID-19 (P=0.003; adjusted OR: 2.261; 99% CI: 1.117-4.575). In addition, a significant association between TC genotype of TLR7 rs179009 T>C polymorphism and increased odds of COVID-19 (P<0.0001; adjusted OR: 6.818; 99% CI: 3.149-14.134) were determined. The polymorphism frequency of TLR3 rs3775291 and rs3775296 genotypes were not significantly different between the case and control groups (P> 0.004167)., Conclusion: SNPs in TLR7 rs179008 and rs179009 genotypes are considered host genetic factors that could be influenced individual susceptibility to COVID-19. The SNPs in TLR3 (rs3775296 and rs3775291) showed no significant association with COVID-19 in Iranian population., (Copyright© 2024 The Authors. Published by Tehran University of Medical Sciences.)
- Published
- 2024
- Full Text
- View/download PDF
31. COVID-19 associated mucormycosis (CAM) in Kashan, Iran: clinical presentations, risk factors, management, and outcomes.
- Author
-
Erami M, Raiesi O, Momen-Heravi M, Mirhendi H, Aboutalebian S, Getso MI, Matini AH, Ahsaniarani AH, Ganjizadeh M, Hassani Josheghani H, Amiri S, Pakzad R, and Hashemi SJ
- Subjects
- Male, Humans, Female, Adult, Middle Aged, Aged, Iran epidemiology, Risk Factors, Cost of Illness, Mucormycosis epidemiology, Mucormycosis therapy, COVID-19 therapy
- Abstract
Background: This study aimed to estimate the disease burden and describe the clinical presentation, risk factors, and outcome of CAM in a single centre in Iran., Methods: A case of mucormycosis was defined as one that had clinical and radiological features consistent with mucormycosis along with demonstration of the fungus in tissue via KOH mount/culture/histopathological and molecular examination., Results: We report 30 cases of COVID-19 associated mucormycosis (CAM). The results of this study showed the affected age group in the range of 40-79 years (median = 65.5; IQR = 5) with women (16/30, 53%) affected more than men (14/30, 47%). Among the fungi recovered, Rhizopus oryzae had the highest frequency (79%). Out of the 30 patients, 28 (93%) patients were diabetic with 24 (80%) patients having other co-morbidities. Headache followed by retro-orbital pain, proptosis/ptosis and rapid diminution of vision was a common sequence of symptoms reported by the majority of cases. Use of mechanical ventilation (58% vs. 6%, p = 0.003), O
2 required (92% vs. 50%, p = 0.024), and development of renal dysfunction during hospital stay (17% vs. 0%, p = 0.041) was significantly higher in non-survivors than survivors. Temperature (C°), PR (pulse rate), mean levels of serum creatinine, BUN, troponin, and neutrophils were significantly higher in non-survivors ( p < 0.05). Besides, Albumin and PO2 were also significantly higher in survivors than non-survivors., Conclusion: Despite medical and surgical treatment, the mortality rate among CAM patients is still high. Thus, concerted efforts of revamping surveillance, diagnosis and management, along with public awareness and patient education, are the requisites for managing COVID-19 and mucormycosis.- Published
- 2024
- Full Text
- View/download PDF
32. Circulating FABP-4 Levels in Patients with Atherosclerosis or Coronary Artery Disease: A Comprehensive Systematic Review and Meta-Analysis.
- Author
-
Jalilian N, Pakzad R, Shahbazi M, Edrisi SR, Haghani K, Jalilian M, and Bakhtiyari S
- Subjects
- Female, Humans, Male, Biomarkers, Global Health, Atherosclerosis, Coronary Artery Disease diagnosis
- Abstract
Background: Cardiovascular diseases (CDs), notably coronary artery disease (CAD) due to atherosclerosis, impose substantial global health and economic burdens. Fatty acid-binding proteins (FABPs), including FABP-4, have been recently linked to CDs. This study conducted a systematic review and meta-analysis to examine FABP-4 levels in CAD and atherosclerosis patients, exploring their potential links to these conditions., Methods: A systematic review and meta-analysis were done based on the PRISMA guideline. The international databases including Medline, Embase, Cochrane Library, Scopus, Web of Science, and UpToDate were searched to find all related studies on the effect of FABP-4 on patients with CAD or atherosclerosis which were published till June 2022 without language restriction. The Cochran's Q -test and I
2 statistic were applied to assess heterogeneity, a random effect model was used to estimate the pooled standardized mean difference (SMD), a metaregression method was utilized to investigate the factors affecting heterogeneity between studies, and Egger's test was used to assess the publication bias., Results: Of 1051 studies, 9 studies with a sample size of 2327 were included in the systematic review and meta-analysis. The level of circulating FABP-4 in the patient groups was significantly higher than in the control groups (SMD = 0.60 (95% CI: 0.30 to 0.91, I2 : 91.47%)). The SMD in female and male patients were 0.26 (95% CI: 0.01 to 0.52, I2 : 0%) and 0.22 (95% CI: 0.08 to 0.35, I2 : 44.7%), respectively. There was considerable heterogeneity between the studies. The countries had a positive relationship with heterogeneity (coefficient = 0.29, p < 0.001); but BMI, lipid indices, gender, study design, and type of kit had no effect on the heterogeneity. No publication bias was observed ( p : 0.137)., Conclusion: In summary, this meta-analysis revealed elevated circulating FABP-4 levels in CDs, suggesting its potential as a biomarker for these conditions. Further research is warranted to explore its clinical relevance., Competing Interests: The authors declare that they have no conflicts of interest., (Copyright © 2023 Narges Jalilian et al.)- Published
- 2023
- Full Text
- View/download PDF
33. Socioeconomic inequality in self-rated health and its determinants: an Oaxaca blinder decomposition in Ilam, West of Iran during 2023.
- Author
-
Bazyar M, Kakaei H, Jalilian M, Mirzaei A, Mansournia MA, and Pakzad R
- Subjects
- Humans, Iran epidemiology, Cross-Sectional Studies, Socioeconomic Factors, Health Status Disparities, Health Status
- Abstract
Aim: To determine inequality and decompose it's in Self-Rated Health (SRH)., Method: This population-based cross-sectional study was undertaken on the entire population of the city of Ilam, Iran, in 2023. Multi-stage stratified cluster random sampling with proportion-to-size approach was used to select the participants. Oaxaca-Blinder decomposition technique was used to show the amount of inequity in SRH and to decompose of the gap of SRH between the poor and the rich group of participants., Results: 1370 persons participated in the study. The 59.38% of participants stated good SRH status and just 8.86% of participants had poor SRH status. The results of the Oaxaca-Blinder decomposition revealed a considerable gap (15.87%) in the poor status of SRH between the rich and the poor. A large proportion (89.66%) of this difference was described by explained portion of the model. The results of decomposition showed that economic status was directly responsible for explaining 27.98% of overall inequality gap between rich and poor people. Moreover, hopelessness to future (32.64%), having an underlying disease (18.34%) and difference in the education level (10.71%) were associated with an increase in inequality disfavoring the poor., Conclusion: For people suffering from underlying disease, it is suggested to devise policies to improve access to/and remove healthcare utilization barriers. To address hopelessness to future, it is recommended to carry out further studies to reveal factors which affect it in more details. This can help policy makers to formulate more realistic and evidence-informed policies on order to lessen the current socioeconomic inequity in SRH., (© 2023. The Author(s).)
- Published
- 2023
- Full Text
- View/download PDF
34. The global prevalence of gastric cancer in Helicobacter pylori-infected individuals: a systematic review and meta-analysis.
- Author
-
Shirani M, Pakzad R, Haddadi MH, Akrami S, Asadi A, Kazemian H, Moradi M, Kaviar VH, Zomorodi AR, Khoshnood S, Shafieian M, Tavasolian R, Heidary M, and Saki M
- Subjects
- Humans, Prevalence, Retrospective Studies, Africa, Stomach Neoplasms epidemiology, Helicobacter pylori
- Abstract
Background: Helicobacter pylori is a gastrointestinal pathogen that infects around half of the world's population. H. pylori infection is the most severe known risk factor for gastric cancer (GC), which is the second highest cause of cancer-related deaths globally. We conducted a systematic review and meta-analysis to assess the global prevalence of GC in H. pylori-infected individuals., Methods: We performed a systematic search of the PubMed, Web of Science, and Embase databases for studies of the prevalence of GC in H. pylori-infected individuals published from 1 January 2011 to 20 April 2021. Metaprop package were used to calculate the pooled prevalence with 95% confidence interval. Random-effects model was applied to estimate the pooled prevalence. We also quantified it with the I
2 index. Based on the Higgins classification approach, I2 values above 0.7 were determined as high heterogeneity., Results: Among 17,438 reports screened, we assessed 1053 full-text articles for eligibility; 149 were included in the final analysis, comprising data from 32 countries. The highest and lowest prevalence was observed in America (pooled prevalence: 18.06%; 95% CI: 16.48 - 19.63; I2 : 98.84%) and Africa (pooled prevalence: 9.52%; 95% CI: 5.92 - 13.12; I2 : 88.39%). Among individual countries, Japan had the highest pooled prevalence of GC in H. pylori positive patients (Prevalence: 90.90%:95% CI: 83.61-95.14), whereas Sweden had the lowest prevalence (Prevalence: 0.07%; 95% CI: 0.06-0.09). The highest and lowest prevalence was observed in prospective case series (pooled prevalence: 23.13%; 95% CI: 20.41 - 25.85; I2: 97.70%) and retrospective cohort (pooled prevalence: 1.17%; 95% CI: 0.55 - 1.78; I 2: 0.10%)., Conclusions: H. pylori infection in GC patients varied between regions in this systematic review and meta-analysis. We observed that large amounts of GCs in developed countries are associated with H. pylori. Using these data, regional initiatives can be taken to prevent and eradicate H. pylori worldwide, thus reducing its complications., (© 2023. BioMed Central Ltd., part of Springer Nature.)- Published
- 2023
- Full Text
- View/download PDF
35. Real-time impact of COVID-19 pandemic on cutaneous leishmaniasis case finding and strategic planning, preventive interventions, control and epidemiology in a region with a high burden of cutaneous leishmaniasis and COVID-19: A cross-sectional descriptive study based on registry data in Ilam-Iran.
- Author
-
Shams M, Rashidi A, Mohamadi J, Moradi M, Pakzad R, Naserifar R, Abdi J, Ghelichi F, Bozorgomid A, Maspi N, Kenarkoohi A, Mohammadi Y, Abdoli A, and Falahi S
- Abstract
Background and Aims: Cutaneous leishmaniasis (CL) is a severe parasitic disease affecting people, mostly in underdeveloped nations. As a zoonotic infection yearly incidence of CL depends on several parameters such as demographic, epidemiological, and environmental factors as well as prevention and control measures. The sudden outbreak of pandemics such as SARS-Corona-Virus-2 pandemic, can probably affect the incidence or reporting of other diseases, especially infectious diseases, in various ways such as pressure on health systems, providing sanitary services and its components, lockdowns and changes in people's living habits., Aim: This study aimed to evaluate the COVID-19 impact on the incidence and other epidemiological aspects as well as control measures of CL in Ilam Province-Iran., Methods: Required data was extracted from the CL registration system in Ilam from 2014 to 2021 to demonstrate the trend of CL incidence before and after COVID-19 pandemic., Results: Based on our results, a declining pattern of CL incidence was observed, accompanied by the advent and intensification of the viral pandemic in Iran and Ilam province. Although, this decreasing pattern was not integral in all areas, and even increase in CL detection was emphasized in some regions., Conclusion: It may be inferred that the COVID-19 pandemic may disrupt treatment programs of CL cases, rodent nest destruction, and fighting vector insects., Competing Interests: The authors declare no conflict of interest., (© 2023 The Authors. Health Science Reports published by Wiley Periodicals LLC.)
- Published
- 2023
- Full Text
- View/download PDF
36. Effect of alcohol consumption on breast cancer: probabilistic bias analysis for adjustment of exposure misclassification bias and confounders.
- Author
-
Pakzad R, Nedjat S, Salehiniya H, Mansournia N, Etminan M, Nazemipour M, Pakzad I, and Mansournia MA
- Subjects
- Humans, Female, Case-Control Studies, Bias, Alcohol Drinking epidemiology, Causality, Breast Neoplasms epidemiology
- Abstract
Purpose: This study was conducted to evaluate the effect of alcohol consumption on breast cancer, adjusting for alcohol consumption misclassification bias and confounders., Methods: This was a case-control study of 932 women with breast cancer and 1000 healthy control. Using probabilistic bias analysis method, the association between alcohol consumption and breast cancer was adjusted for the misclassification bias of alcohol consumption as well as a minimally sufficient set of adjustment of confounders derived from a causal directed acyclic graph. Population attributable fraction was estimated using the Miettinen's Formula., Results: Based on the conventional logistic regression model, the odds ratio estimate between alcohol consumption and breast cancer was 1.05 (95% CI: 0.57, 1.91). However, the adjusted estimates of odds ratio based on the probabilistic bias analysis ranged from 1.82 to 2.29 for non-differential and from 1.93 to 5.67 for differential misclassification. Population attributable fraction ranged from 1.51 to 2.57% using non-differential bias analysis and 1.54-3.56% based on differential bias analysis., Conclusion: A marked measurement error was in self-reported alcohol consumption so after correcting misclassification bias, no evidence against independence between alcohol consumption and breast cancer changed to a substantial positive association., (© 2023. The Author(s).)
- Published
- 2023
- Full Text
- View/download PDF
37. Global Estimate of Clarithromycin Resistance in Clinical Isolates of Helicobacter pylori: a Systematic Review and Meta-Analysis.
- Author
-
Khoshnood S, Pakzad R, Kaviar VH, Hashemian M, Karamollahi S, Sadeghifard N, Heidarizadeh H, Moradi M, Maleki A, Heidary M, and Abdi M
- Subjects
- Humans, Clarithromycin pharmacology, Clarithromycin therapeutic use, Anti-Bacterial Agents pharmacology, Anti-Bacterial Agents therapeutic use, Drug Resistance, Bacterial, Microbial Sensitivity Tests, Helicobacter pylori, Helicobacter Infections drug therapy, Helicobacter Infections microbiology
- Abstract
Background: A high resistance rate to clarithromycin usually leads to failure to eradicate Helicobacter pylori. The aim of the present study was to review recent data on H. pylori resistance towards clarithromycin in clinical studies worldwide., Methods: PubMed/Medline, Web of Science, and Embase were used for a systematic review from 1 January 2011 to 13 April 2021 to retrieve the clinical trial studies. Data were analyzed according to publication year, age, geographic area, and minimum inhibitory concentration (MIC). Statistical analysis was done by STATA version 14.0 (College Station, Texas)., Results: From a total of 4,304 articles, 89 articles related to clinical studies were selected for analysis. The overall H. pylori clarithromycin resistance rate was 34.95%. Based on continents, the highest and lowest pooled estimate of the bacterial resistance rates were observed in Asia (35.97%) and North America (7.02%), respectively. The highest and the lowest pooled estimate of H. pylori resistance rate to clarithromycin based on country were obtained in Australia (93.4%) and USA (7%), respectively., Conclusions: H. pylori resistance to clarithromycin in most parts of the world is more than 15%, so it is recommended that each country, after estimating the rate of resistance to clarithromycin, determine the treatment/eradication pattern for H. pylori infection.
- Published
- 2023
- Full Text
- View/download PDF
38. Epidemiological aspect of retinoblastoma in the world: a review of recent advance studies.
- Author
-
Koochakzadeh L, Yekta A, Hashemi H, Pakzad R, Heydarian S, and Khabazkhoob M
- Abstract
Aim: To collect and present updated evidence about epidemiological aspects of retinoblastoma (Rb) in the world., Methods: A comprehensive search without the time and language restrictions was conducted in international databases, including MEDLINE, Scopus, Web of Science, and PubMed. The search keywords were "retinoblastoma" OR "retinal Neuroblastoma" OR "retinal glioma" OR "retinoblastoma eye cancer" OR "retinal glioblastoma"., Results: The worldwide incidence of Rb is 1 in 16 000-28 000 live births, but was higher in developing compared to developed countries. Several attempts for improving early detection and treatment had increased the Rb survival rate from 5% to 90% in developed countries over the past decade, but its survival was lower in developing countries (about 40% in low-income countries) and the majority of mortalities occurred in developing countries. The etiology of Rb could be viewed as genetics in the heritable form and environmental and lifestyle factors in the sporadic form. Some environmental risk factors such as in vitro fertilization; insect sprays; father's occupational exposure to oil mists in metal working, and poor living conditions might play a role in the occurrence of the disease. Although ethnicity might affect Rb incidence, sex has no documented effect and the best treatment approaches were now ophthalmic artery chemosurgery and intravitreal chemotherapy., Conclusion: Determining the role of genetics and environmental factors helps to accurately predict the prognosis and identify the mechanism of the disease, which can reduce the risk of tumor development., (International Journal of Ophthalmology Press.)
- Published
- 2023
- Full Text
- View/download PDF
39. High prevalence of mental disorders: a population-based cross-sectional study in the city of Ilam, Iran.
- Author
-
Kakaei H, Maleki F, Biderafsh A, Valizadeh R, Mansournia MA, Pakzad I, and Pakzad R
- Abstract
Aim: To determine the age- and sex-standardized prevalence and risk factors of depression, anxiety, and stress symptoms in the city of Ilam., Method: In this population-based cross-sectional study, 1,350 people were invited using a multi-stage stratified cluster random sampling method. Depression, anxiety, and stress symptoms were measured using the DASS-21 standard questionnaire. For data analysis, multiple ordinal logistic regression was used in Stata version 12 software. A significance level of 5% was considered., Results: The data of 1,431 people were analyzed. The age- and sex-standardized prevalence (95% CI) of severe depression, anxiety, and stress symptoms was 19.90% (17.64 to 22.16), 25.95% (23.48 to 28.43), and 15.75% (13.69 to 17.81), respectively. There was a positive association among depression symptoms with female sex (OR: 1.52; p < 0.003), Kurdish ethnicity (OR: 2.15; p < 0.004), low educational level (OR: 1.37; p < 0.031), job losing history (OR: 1.64; p < 0.001), mental disorders history (OR: 2.17; p < 0.001), hopelessness for the future (OR: 5.38; p < 0.001), and history of other diseases (OR: 1.67; p < 0.001). There was a positive association among anxiety symptoms with female sex (OR: 1.72; p < 0.001), job losing history (OR: 1.53; p < 0.003), mental disorders history (OR: 2.11; p < 0.001), hopelessness to future (OR: 3.33; p < 0.001) and history of other diseases (OR: 1.97; p < 0.001). Hopelessness for the future and a history of other diseases were the most effective variables for anxiety symptoms and stress symptoms., Conclusion: A significant proportion of Ilam's urban population suffers from mental disorders. Increasing people's awareness, establishing counseling centers, and improving infrastructure should be considered by mental health policymakers who work in the province., Competing Interests: The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest., (Copyright © 2023 Kakaei, Maleki, Biderafsh, Valizadeh, Mansournia, Pakzad and Pakzad.)
- Published
- 2023
- Full Text
- View/download PDF
40. Investigating factors affecting the prevalence of stress, anxiety and depression among citizens of Karaj city: A population-based cross-sectional study.
- Author
-
Armandpishe S, Pakzad R, Jandaghian-Bidgoli M, Abdi F, Sardashti M, and Soltaniha K
- Abstract
Background & Aim: Stress, anxiety, and depression are among the major public health problems worldwide. These problems, which may lead to more challenges, continue to grow. Therefore, the aim of this study was to investigate the main factors affecting the prevalence of stress, anxiety, and depression among citizens of Karaj., Materials & Methods: A total of 920 people participated in the study. The Depression, Anxiety, and Stress Scale (DASS), consisting of 21 items, was used for the assessment of the studied problems. Single and multiple regressions were used for the data analysis. In addition, all statistical analysis was done by Stata version 12 at the 0.05significance level., Results: We found that the prevalence rate of depression, anxiety, and stress was 4.79%, 13.28%, and 15.13%, respectively. Education level was significantly associated with stress (b: 1.21; p < 0.001), anxiety (b: 2.03; p < 0.001), and depression (b: 0.48; p: 0.039). The association of the female gender with stress (b: 2.05; p < 0.001) and anxiety (b: 1.01; p: 0.002) was also confirmed. The association of being divorced or widowed with stress (b: 1.84; p: 0.005), anxiety (b: 1.21; p: 0.001), and depression (b: 1.85; p: 0.003) was approved. There was also a significant association between family size and stress (b: 0.39; p: 0.041). Gender and economic status were known as the most effective factors in the incidence of the studied problems., Conclusion: The prevalence rate of depression, stress, and anxiety in Karaj should be taken into consideration. Therefore, the preventive and therapeutic measures need to be considered for reducing the effects of the risk factors., Competing Interests: The authors state no conflicts of interest in this study., (© 2023 The Authors. Published by Elsevier Ltd.)
- Published
- 2023
- Full Text
- View/download PDF
41. Electromagnetic fields exposure on fetal and childhood abnormalities: Systematic review and meta-analysis.
- Author
-
Kashani ZA, Pakzad R, Fakari FR, Haghparast MS, Abdi F, Kiani Z, Talebi A, and Haghgoo SM
- Abstract
Today, in the modern world, people are often exposed to electromagnetic waves, which can have undesirable effects on cell components that lead to differentiation and abnormalities in cell proliferation, deoxyribonucleic acid (DNA) damage, chromosomal abnormalities, cancers, and birth defects. This study aimed to investigate the effect of electromagnetic waves on fetal and childhood abnormalities. PubMed, Scopus, Web of Science, ProQuest, Cochrane Library, and Google Scholar were searched on 1 January 2023. The Cochran's Q -test and I
2 statistics were applied to assess heterogeneity, a random-effects model was used to estimate the pooled odds ratio (OR), standardized mean difference (SMD), and mean difference for different outcomes, and a meta-regression method was utilized to investigate the factors affecting heterogeneity between studies. A total of 14 studies were included in the analysis, and the outcomes investigated were: change in gene expression, oxidant parameters, antioxidant parameters, and DNA damage parameters in the umbilical cord blood of the fetus and fetal developmental disorders, cancers, and childhood development disorders. Totally, the events of fetal and childhood abnormalities were more common in parents who have been exposed to EMFs compared to those who have not (SMD and 95% confidence interval [CI], 0.25 [0.15-0.35]; I2 , 91%). Moreover, fetal developmental disorders (OR, 1.34; CI, 1.17-1.52; I2 , 0%); cancer (OR, 1.14; CI, 1.05-1.23; I2 , 60.1%); childhood development disorders (OR, 2.10; CI, 1.00-3.21; I2 , 0%); changes in gene expression (mean difference [MD], 1.02; CI, 0.67-1.37; I2 , 93%); oxidant parameters (MD, 0.94; CI, 0.70-1.18; I2 , 61.3%); and DNA damage parameters (MD, 1.01; CI, 0.17-1.86; I2 , 91.6%) in parents who have been exposed to EMFs were more than those in parents who have not. According to meta-regression, publication year has a significant effect on heterogeneity (coefficient: 0.033; 0.009-0.057). Maternal exposure to electromagnetic fields, especially in the first trimester of pregnancy, due to the high level of stem cells and their high sensitivity to this radiation, the biochemical parameters of the umbilical cord blood examined was shown increased oxidative stress reactions, changes in protein gene expression, DNA damage, and increased embryonic abnormalities. In addition, parental exposure to ionizing and non-ionizing radiation can lead to the enhancement of different cell-based cancers and developmental disorders such as speech problems in childhood., Competing Interests: Conflict of interest: The authors declare that they have no conflicts of interest., (© 2023 the author(s), published by De Gruyter.)- Published
- 2023
- Full Text
- View/download PDF
42. Worldwide Prevalence of Colistin Resistance among Enterobacteriaceae: a Systematic Review and Meta-Analysis.
- Author
-
Latifi F, Pakzad R, Asadollahi P, Hematian A, and Pakzad I
- Subjects
- Animals, Humans, Escherichia coli, Prevalence, Colistin pharmacology, Enterobacteriaceae
- Abstract
Background: The aim of the present meta-analysis is to estimate the prevalence of colistin resistance among the Enterobacteriaceae family., Methods: Articles from various databases (Medline, Scopus, Web of Science, and Embase) examining colistin resistance among Enterobacteriaceae in human, animal, and environmental specimens were searched from 2016 to 2021 using related keywords. The Cochran's Q-test and I2 were applied to evaluate heterogeneity and a random-effects model was used to assess the pooled prevalence. The meta-regression method was applied to determine heterogeneity among the studies., Results: Of 5,145 articles, 60 articles with a sample size of 404,856 was included. The pooled estimate for prevalence of bacterial resistance were 9.13% (95% CI: 6.96 to 11.56; I-squared = 99.4%) in total, 8.34% (95% CI: 5.87 to 11.16; I-squared = 99.3%) for Klebsiella spp. subgroup and 3.44% (95% CI: 2.46 to 4.57; I-squared = 98.4%) for E. coli subgroup. The pooled prevalence for human and animal settings were 9.07% (95% CI: 6.77 to 11.67; I-squared = 99.3%) and 9.73% (95% CI: 484 to 16.02; I-squared = 99.4%), respectively. The continent (coefficient: 3.51; 95% CI: 0.08 to 6.94, p: 0.045) and bacterial type (coefficient: 0.03; 95% CI: 0.01 to 0.05 p: 0.042) had significant effects on heterogeneity among studies., Conclusion: The results of this study showed that the prevalence of colistin resistance in Enterobacteriaceae was similar between animals and humans, with the highest colistin resistance found in Klebsiella strains.
- Published
- 2023
- Full Text
- View/download PDF
43. No sign of Rotavirus co-infection in COVID-19 patients with gastrointestinal symptoms.
- Author
-
Zandi M, Soltani S, Sadooni R, Salmanzadeh S, Erfani Y, Shahbahrami R, Piri M, Pakzad R, Ghodratifard N, Moghadam AE, and Abbasi S
- Subjects
- Humans, Middle Aged, SARS-CoV-2, COVID-19 diagnosis, COVID-19 epidemiology, Rotavirus genetics, Coinfection epidemiology, Gastrointestinal Diseases epidemiology, Rotavirus Infections complications, Rotavirus Infections diagnosis, Rotavirus Infections epidemiology
- Abstract
Background and Aims: The main goal of the present study is to investigate the incidence of Rotavirus co-infection in COVID-19 patients., Methods and Results: Fecal samples of COVID-19 patients with gastrointestinal symptoms which had positive PCR- were collected from Abadan's hospital, Iran during the period December 2020 to January 2021. Samples were analyzed by RT-PCR to determine the presence of Rotavirus. Finally, the total samples size of 37 were included in this study. The mean age of patients was 48.22 years. Abdominal pain alone was detected in 48.65% of the patients. At least one gastrointestinal symptom was detected in all of the patients. Diarrhea and fever were seen in 13.51% and 59.46% of patients, respectively. Nausea and vomiting were seen in 5.41% of the patients. RT-PCR showed no infection of Rotavirus among the patients., Conclusion: Gastrointestinal symptoms related to COVID-19 are common. More studies is need among these patients groups for investigate co-infection with other fecal viral shedding carries, due to a worse prognosis and its association with disease severity., (© 2023 Kamuzu University of Health Sciences and the Medical Association of Malawi.)
- Published
- 2023
- Full Text
- View/download PDF
44. Association between Pro-oxidant-Antioxidant balance and high-sensitivity C-reactive protein in type 2 diabetes mellitus: A Study on Postmenopausal Women.
- Author
-
Ehteram H, Raji S, Rahmati M, Teymoori H, Safarpour S, Poursharifi N, Hashem Zadeh M, Pakzad R, Habibi H, and Mobarra N
- Subjects
- Humans, Female, C-Reactive Protein metabolism, Antioxidants, Reactive Oxygen Species, Cholesterol, LDL, Case-Control Studies, Postmenopause, Insulin, Vitamin D, Diabetes Mellitus, Type 2, Insulin Resistance
- Abstract
Introduction: Oxidative stress known as a predictive marker for cardiovascular and metabolic diseases could be measured through pro-oxidant antioxidant balance (PAB). The present study aimed to evaluate PAB and its association with high-sensitivity C-reactive protein (hs-CRP) in the serum of postmenopausal women with diabetes mellitus., Methods: In this case-control study, 99 diabetic and 100 healthy postmenopausal women without diabetes mellitus were recruited. Serum PAB values, hs-CRP, lipid profile, insulin, and vitamin D levels were measured. Moreover, insulin resistance (HOMA-IR, HOMA-β and QUICKI), waist circumference (WC), waist-to-hip ratio (WHR), waist-to-height ratio (WHtR), and body mass index (BMI) were calculated., Results: Serum PAB, hs-CRP, insulin resistance, HOMA-β, QUICKI, low-density lipoprotein cholesterol (LDL-C), high-density lipoprotein cholesterol (HDL-C), and triglycerides (TG) levels were significantly higher in the postmenopausal women with diabetes mellitus, while there was no significant difference in the total cholesterol (TC), serum insulin, WC, WHR, WHtR and vitamin D levels between the groups. Pearson correlation coefficient showed that HDL-C and insulin levels were directly correlated with serum PAB. Also, there was a significant direct relationship between LDL-C and insulin levels and hs-CRP. There was no meaningful relationship between serum insulin and vitamin D levels and other assessed parameters. Backward logistic regression showed a positive relationship between diabetes mellitus and serum PAB and an inverse relationship with serum HDL levels., Conclusions: Serum PAB, hs-CRP concentration, and lipid profile were significantly different between postmenopausal women with and without diabetes mellitus. These differences may contribute to the development of coronary complications., (© 2022 The Authors. Endocrinology, Diabetes & Metabolism published by John Wiley & Sons Ltd.)
- Published
- 2023
- Full Text
- View/download PDF
45. Proteomics approach to investigating osmotic stress effects on pistachio.
- Author
-
Pakzad R, Fatehi F, Kalantar M, and Maleki M
- Abstract
Osmotic stress can occur due to some stresses such as salinity and drought, threatening plant survival. To investigate the mechanism governing the pistachio response to this stress, the biochemical alterations and protein profile of PEG-treated plants was monitored. Also, we selected two differentially abundant proteins to validate via Real-Time PCR. Biochemical results displayed that in treated plants, proline and phenolic content was elevated, photosynthetic pigments except carotenoid decreased and MDA concentration were not altered. Our findings identified a number of proteins using 2DE-MS, involved in mitigating osmotic stress in pistachio. A total of 180 protein spots were identified, of which 25 spots were altered in response to osmotic stress. Four spots that had photosynthetic activities were down-regulated, and the remaining spots were up-regulated. The biological functional analysis of protein spots exhibited that most of them are associated with the photosynthesis and metabolism (36%) followed by stress response (24%). Results of Real-Time PCR indicated that two of the representative genes illustrated a positive correlation among transcript level and protein expression and had a similar trend in regulation of gene and protein. Osmotic stress set changes in the proteins associated with photosynthesis and stress tolerance, proteins associated with the cell wall, changes in the expression of proteins involved in DNA and RNA processing occur. Findings of this research will introduce possible proteins and pathways that contribute to osmotic stress and can be considered for improving osmotic tolerance in pistachio., Competing Interests: The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest., (Copyright © 2023 Pakzad, Fatehi, Kalantar and Maleki.)
- Published
- 2023
- Full Text
- View/download PDF
46. Prevalence, diagnosis, and manifestations of brucellosis: A systematic review and meta-analysis.
- Author
-
Khoshnood S, Pakzad R, Koupaei M, Shirani M, Araghi A, Irani GM, Moradi M, Pakzad I, Sadeghifard N, and Heidary M
- Abstract
Objectives: Brucellosis is one of the most prevalent zoonotic diseases common between humans and animals. Despite eradication efforts, the burden of the disease is well-known in endemic countries and in countries where brucellosis has not been an important health issue until recently. The aim of this study was to evaluate the prevalence, diagnosis, and manifestations of brucellosis., Methods: In this study, PubMed, Web of Science, Scopus, Embase, and Google scholar databases were systematically searched to find studies published from 2011 to 2021. The search was conducted using text words and Medical Subject Headings (MeSH) Terms on the prevalence of brucellosis. Stata software 14.0 was used for all analyses., Results: Based on the results, the pooled prevalence of brucellosis was 15.27% (95% CI: 9.68-21.86; heterogeneity I
2 index: 97.43; p < 0.001) for man and 15.33% (95% CI: 7.19-25.75; heterogeneity I2 index: 98.19; p < 0.001) for woman. Age (coefficient: 0.240; p = 0.480), gender (coefficient: -0.017; p = 0.800), and publication year (coefficient: 0.114; p = 0.861) showed no significant effect on heterogeneity among studies. Egger's test indicated a significant publication bias for the prevalence of brucellosis (coefficient 3.894; p < 0.001). Moreover, the trim-and-fill method exhibited that the adjusted prevalence of brucellosis (18.30%, 95% CI: 14.10-22.52) was not significantly different from the original prevalence of brucellosis., Conclusion: The pooled estimate for brucellosis prevalence was estimated as 15.53%. To better understand the epidemiology of brucellosis globally, more extensive studies are needed to be conducted throughout the world, especially in developing and low-income countries., Competing Interests: The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest., (Copyright © 2022 Khoshnood, Pakzad, Koupaei, Shirani, Araghi, Irani, Moradi, Pakzad, Sadeghifard and Heidary.)- Published
- 2022
- Full Text
- View/download PDF
47. Neonatal outcome among pregnant women with COVID-19: a systematic review and meta-analysis.
- Author
-
Amirian A, Pakzad R, Hasanpour V, Mirzadeh N, and Abdi F
- Subjects
- Infant, Newborn, Female, Pregnancy, Humans, Pregnant Women, Infectious Disease Transmission, Vertical prevention & control, COVID-19, Premature Birth epidemiology, Pregnancy Complications
- Abstract
Background: COVID-19 has raised many concerns about the possible side effects of pregnancy. There is currently no conclusive evidence of the vertical transmission of COVID-19. Accordingly, this paper is a Systematic Review and Meta-Analysis investigated neonatal outcomes among pregnant women with COVID-19., Methods: PubMed, Web of Science (WoS), EMBASE, ProQuest, Scopus, and Google Scholar were searched up to November 2020. The Cochran's Q -test and I
2 statistic were applied to assess heterogeneity, a random-effects model was used to estimate the pooled estimate of the mean, and a meta-regression method was utilized to investigate the factors affecting heterogeneity between studies., Results: Of 1132 studies, 23 were included in the analysis (sample size: 749 for neonates and 820 for mothers). Most of these studies ( n = 13) were conducted in China. The pooled estimate for the mean of birth weight, APGAR score in min 1 and 5 was 3084.97 g (95% CI: 2993.66-3176.29), 8.76 (95% CI: 8.27-9.25), and 9.44 (95% CI: 9.18-9.70), respectively. Also, the pooled prevalence of premature birth, shortness of breath, and neonatal death was 17.80% (95% CI: 12.47-23.13), 8.43% (95% CI: 4.50-12.37), and 7.73% (95% CI: 2.00-13.47), respectively. The meta-regression results indicated that the mother's age, disease duration, and sample size had no significant effect on heterogeneity between studies ( p -value all of them was >.05). Finally, 15 studies (65.22%) reported that vertical transmission did not occur., Conclusion: The COVID-19 infection can have adverse outcomes for the newborn. Despite the positive test of neonates, the vertical transmission of COVID-19 from the infected mother to the fetus has not yet been conclusively proven; thus, further research is needed.- Published
- 2022
- Full Text
- View/download PDF
48. Prevalence of Pediculosis Among Primary School-Aged Students in Iran: an Updated Comprehensive Systematic Review and Meta-Analysis.
- Author
-
Akbari M, Sheikhi S, Rafinejad J, Akbari MR, Pakzad I, Abdi F, Pakzad R, and Aivazi AA
- Subjects
- Animals, Humans, Prevalence, Cross-Sectional Studies, Iran epidemiology, Students, Schools, Lice Infestations epidemiology, Pediculus, Scalp Dermatoses epidemiology
- Abstract
In this study, a systematic investigation was performed to estimate the prevalence of head lice infestation, and to determine the factors affecting the prevalence of heterogeneity among primary school-aged children in Iran. A comprehensive search was fulfilled in international databases, including MEDLINE, Scopus, Web of Science, and Embase, to identify the articles on the prevalence of pediculosis. So, all the cross-sectional epidemiological studies evaluating the prevalence of pediculosis were covered without any restrictions. A random-effects model was used to assess the pooled prevalence. A meta-regression method was applied to determine the factors affecting the heterogeneity among the studied population. An analysis was performed on 67 studies with a total sample size of 358,053. The total pooled estimate for the prevalence of pediculosis in boys and girls was 7.52% (95% CI: 6.15-9.03), 1.99% (95% CI: 1.25-2.89), and 8.97% (95% CI: 721-10.91), respectively. The highest and lowest pooled prevalence was in Hormozgan (southern Iran) (29.21%; 95% CI: 8.89-55.34) and Isfahan (Central Iran) (0.69%; 95% CI: 0.59-0.80), respectively. Based on the results of the univariate meta-regression, gender and father's job showed a significant direct association with the prevalence of pediculosis, but the sample size had significant inverse relations with the prevalence of pediculosis. This study demonstrated that pediculosis is a common public health problem affecting school-aged children with a relatively high prevalence in Iran, especially among girls., (© The Author(s) 2022. Published by Oxford University Press on behalf of Entomological Society of America. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.)
- Published
- 2022
- Full Text
- View/download PDF
49. Clinical outcomes of off-pump coronary artery bypass graft in patients with diabetes and non-diabetics: A systematic review and meta-analysis.
- Author
-
Aeen FB, Pakzad R, Tayebi Z, Kashkooli RI, and Abdi F
- Subjects
- Humans, Coronary Artery Bypass adverse effects, Treatment Outcome, Coronary Artery Bypass, Off-Pump adverse effects, Coronary Artery Bypass, Off-Pump methods, Stroke etiology, Coronary Artery Disease complications, Coronary Artery Disease surgery, Diabetes Mellitus epidemiology, Diabetes Mellitus etiology
- Abstract
Background and Aim: Diabetes mellitus is a prevalent risk factor for developing coronary artery disease which worsens the clinical outcomes of patients undergoing coronary artery bypass grafting (CABG). This study aimed to determine the clinical outcomes of patients with diabetes and non-diabetic patients who underwent off-pump CABG surgery., Method: Medline, Scopus, Proquest, Embase, Web of Science, and Google scholar were searched until September 10, 2021. The effect sizes including unstandardized mean difference and odds ratio with 95% confidence interval were calculated using "Metan" package. The Cochran's Q-test and I
2 statistic were used to assess heterogeneity, a random-effects model was applied to estimate the pooled effect sizes, and meta-regression was used to investigate the factors affecting heterogeneity between studies., Results: 10 studies with 6200 sample sizes were included in the study. In groups with diabetes, Summary odds ratio (SOR) and 95% confidence interval of infection was 2.18 more than non-diabetic groups. Also, odds renal complication was 1.74 more than non-diabetic groups, and the odds cardiovascular complication in groups with diabetes was 1.30 more than non-diabetics. There were no differences in mortality, neurologic, respiratory and surgical complications between groups with diabetes and non-diabetics. Based on meta-regression results, age (Coefficient: 0.942; p = 0.009) had a significant direct relationship and sample size (Coefficient: 0.001; p = 0.009) had an indirect significant relationship with heterogeneity of neurologic outcomes. There was no significant publication bias in our results., Conclusion: Our study revealed that off-pump CABG led to some significant outcomes in patients with diabetes compared to non-diabetics. Renal and infection complications were higher in patients with diabetes but no significant differences were seen in most of other postoperative outcomes between the two groups., Competing Interests: Declaration of competing interest The authors declare no conflict of interests., (Copyright © 2022 Diabetes India. Published by Elsevier Ltd. All rights reserved.)- Published
- 2022
- Full Text
- View/download PDF
50. Age- and Sex-Standardized Prevalence of Age-Related Cataract and Its Determinants; Tehran Geriatric Eye Study (TGES).
- Author
-
Hashemi H, Pakzad R, Aghamirsalim M, Yekta A, Mortazavi M, Pourmatin R, Pakbin M, Nabovati P, and Khabazkhoob M
- Subjects
- Age Distribution, Aged, Cross-Sectional Studies, Humans, Iran epidemiology, Prevalence, Sex Distribution, Cataract epidemiology
- Abstract
Purpose: To determine the prevalence of cataract and its relationship with some determinants in individuals above 60 years., Methods: Of 3792 subjects that were invited, 3310 participated in the study (response rate = 87.31%). All subjects underwent full optometric, slit lamp, and fundoscopic examinations. Then, their lenses were evaluated according to the World Health Organization cataract grading system after pupil dilation., Results: Age- and sex-standardized prevalence with 95% confidence interval (CI) of nuclear, cortical, posterior subcapsular cataracts (PSC), any type cataract, and all lens change was 53.09% (49.80 to 56.35), 23.02% (20.87 to 25.32), 5.57% (4.62 to 6.70), 58.78% (55.65 to 61.83), and 72.49% (70.14 to 74.71), respectively. Any type, nuclear, cortical, and PSC cataracts, had a positive association with age and an inverse association with education. Moreover, the prevalence of cortical and PSC cataract had an inverse association with economic status. Among all variables, age was the strongest determinant for cataract and its subtype., Conclusion: This study found a higher prevalence of cataract compared to some previous studies such that about two-thirds of the geriatric population had cataract in the past or at the time of the study. Considering the association of cataract with variables such as economic status and education level, it seems that training and increased awareness and knowledge of the elderly population regarding the importance of eye care by physicians plays an important role in reducing the burden of cataract.
- Published
- 2022
- Full Text
- View/download PDF
Catalog
Discovery Service for Jio Institute Digital Library
For full access to our library's resources, please sign in.