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BMC Endocrine Disorders|March 23, 2021
Dynamic behavior of metabolic syndrome progression: a comprehensive systematic review on recent discoveriesPezhman Bagheri, Davood Khalili, Mozhgan Seif, et al.Frontiers in Public Health|March 13, 2023
A cost-effectiveness analysis of risk-based intervention for prevention of cardiovascular diseases in IraPEN program: A modeling studyAmirparviz Jamshidi, Rajabali Daroudi, Eline Aas, et al.Cardiovascular Diabetology|June 18, 2024
Weight change and risk of incident type 2 diabetes: short, medium and long-term follow-up in tehran lipid and glucose studySamaneh Asgari, Davood Khalili, Fereidoun Azizi, et al.Journal of Diabetes and Its Complications|May 9, 2021
Sex- specific clustering of metabolic syndrome components and incidence of cardiovascular disease: A latent class analysis in a population-based cohort studyNoushin Sadat Ahanchi, Farzad Hadaegh, Fereidoun Azizi, et al.Journal of Evidence-Based Medicine|February 26, 2011
Iranian Registry of Clinical Trials: path and challenges from conception to a World Health Organization primary registerMasoud Solaymani-Dodaran, Afshin Ostovar, Davood Khalili, et al.European Journal of Preventive Cardiology|February 7, 2024
Impact of coronary artery calcium on mortality and cardiovascular events in metabolic syndrome and diabetes among younger adultsSoroush Masrouri, Michael D Shapiro, Davood Khalili, et al.BMC Public Health|May 26, 2011
"Predictability of body mass index for diabetes: affected by the presence of metabolic syndrome?"Farzad Hadaegh, Mohammadreza Bozorgmanesh, Maryam Safarkhani, et al.BMC Neurology|October 4, 2012
Risk factors for ischemic stroke; results from 9 years of follow-up in a population based cohort of IranNoushin Fahimfar, Davood Khalili, Reza Mohebi, et al.Journal of Diabetes|December 11, 2014
Factor analysis of metabolic syndrome components and predicting type 2 diabetes: Results of 10-year follow-up in a Middle Eastern populationErfan Ayubi, Davood Khalili, Ali Delpisheh, et al.Journal of Clinical Epidemiology|August 29, 2021
Dynamic prediction models improved the risk classification of type 2 diabetes compared with classical static modelsSamaneh Asgari, Davood Khalili, Farid Zayeri, et al.Pageof 24