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BMC Endocrine Disorders|June 30, 2021
Prevalence and determinants of diabetes and prediabetes in southwestern Iran: the Khuzestan comprehensive health study (KCHS)Sanam Hariri, Zahra Rahimi, Nahid Hashemi-Madani, et al.Osteoporosis and Sarcopenia|July 14, 2022
South Asian Working Action Group on SARCOpenia (SWAG-SARCO) - A consensus documentMinakshi Dhar, Nitin Kapoor, Ketut Suastika, et al.Diabetes Therapy : Research, Treatment and Education of Diabetes and Related Disorders|October 1, 2021
Nationwide Prevalence of Diabetes and Prediabetes and Associated Risk Factors Among Iranian Adults: Analysis of Data from PERSIAN Cohort StudyMohammad E Khamseh, Sadaf G Sepanlou, Nahid Hashemi-Madani, et al.Journal of Clinical Epidemiology|February 28, 2020
Patient Health Questionnaire-9 scores do not accurately estimate depression prevalence: individual participant data meta-analysisBrooke Levis, Andrea Benedetti, John P A Ioannidis, et al.Psychological Medicine|July 13, 2019
Equivalency of the diagnostic accuracy of the PHQ-8 and PHQ-9: a systematic review and individual participant data meta-analysisYin Wu, Brooke Levis, Kira E Riehm, et al.The British Journal of Psychiatry : the Journal of Mental Science|May 3, 2018
Probability of major depression diagnostic classification using semi-structured versus fully structured diagnostic interviewsBrooke Levis, Andrea Benedetti, Kira E Riehm, et al.Psychotherapy and Psychosomatics|October 9, 2019
The Accuracy of the Patient Health Questionnaire-9 Algorithm for Screening to Detect Major Depression: An Individual Participant Data Meta-AnalysisChen He, Brooke Levis, Kira E Riehm, et al.JAMA Network Open|November 22, 2024
Data-Driven Cutoff Selection for the Patient Health Questionnaire-9 Depression Screening ToolBrooke Levis, Parash Mani Bhandari, Dipika Neupane, et al.Pageof 11