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Fertility and Sterility|April 2, 2019
Effect of aging, menopause, and age at natural menopause on the trend in body mass index: a 15-year population-based cohortSeyed Ali Montazeri, Fahimeh Ramezani Tehrani, Razieh Bidhendi Yarandi, et al.Clinical Endocrinology|May 1, 2007
Assessment of thyroid function and urinary and breast milk iodine concentrations in healthy newborns and their mothers in TehranArash Ordookhani, Elizabeth N Pearce, Mehdi Hedayati, et al.Human Pathology|June 10, 2018
Evaluation of miRNAs expression in medullary thyroid carcinoma tissue samples: miR-34a and miR-144 as promising overexpressed markers in MTCNoushin Shabani, Javad Razaviyan, Mahdi Paryan, et al.Endocrine Research|April 18, 2014
The age effect on the association between the scavenger receptor class B type I (SR-BI) polymorphism and HDL-C level: Tehran Lipid and Glucose StudyBita Faam, Maryam Sadat Daneshpour, Mehdi Hedayati, et al.Journal of Nutrigenetics and Nutrigenomics|October 11, 2014
Western dietary pattern interaction with APOC3 polymorphism in the risk of metabolic syndrome: Tehran Lipid and Glucose StudyFiroozeh Hosseini-Esfahani, Parvin Mirmiran, Maryam S Daneshpour, et al.Archives of Medical Research|November 26, 2021
Impact of Polycystic Ovary Syndrome on Silent Coronary Artery Disease and Cardiovascular Events; A Long-term Population-based Cohort StudyFatemeh Mahboobifard, Maryam Rahmati, Atrin Niknam, et al.International Journal of Endocrinology and Metabolism|April 5, 2021
Diabetes, Hypertension, and Incidence of Chronic Kidney Disease: Is There any Multiplicative or Additive Interaction?Saeed Erfanpoor, Koorosh Etemad, Sara Kazempour, et al.Scientific Reports|July 18, 2020
Trends in cardiovascular risk factors in diabetic patients in comparison to general population in Iran: findings from National Surveys 2007-2016Hamid Malekzadeh, Mojtaba Lotfaliany, Afshin Ostovar, et al.Primary Care Diabetes|November 21, 2022
Determinants of the progression to type 2 diabetes and regression to normoglycemia in people with pre-diabetes: A population-based cohort study over ten yearsKarim Kohansal, Nooshin Ahmadi, Farzad Hadaegh, et al.JMIR Public Health and Surveillance|September 2, 2021
Using Machine Learning Techniques to Predict Factors Contributing to the Incidence of Metabolic Syndrome in Tehran: Cohort StudyFiroozeh Hosseini-Esfahani, Behnaz Alafchi, Zahra Cheraghi, et al.Pageof 130