{"id":"W2937440490","doi":"10.1136/bmj.l1476","title":"Accuracy of Patient Health Questionnaire-9 (PHQ-9) for screening to detect major depression: individual participant data meta-analysis","year":2019,"lang":"en","type":"review","venue":"BMJ","topic":"Mental Health Treatment and Access","field":"Psychology","cited_by":1724,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Jewish General Hospital","funders":"Canadian Arthritis Network; National Institute on Minority Health and Health Disparities; National Center for Research Resources; National Institute of Diabetes and Digestive and Kidney Diseases; National Institute of Mental Health; National Health and Medical Research Council; Medical Research Council; National Center for Medical Rehabilitation Research; Fonds de Recherche du Québec - Santé; Canadian Institutes of Health Research; National Institute on Disability and Rehabilitation Research; Agency for Healthcare Research and Quality; Centers for Disease Control and Prevention; National Institutes of Health; National Institute of General Medical Sciences; H. Lundbeck A/S; Chinese Diabetes Society; Health Research Council of New Zealand; National Health Research Institutes; Alberta Health Services; Jewish General Hospital; Bundesministerium für Bildung und Forschung; Safe Work Australia; National Heart, Lung, and Blood Institute; Tehran University of Medical Sciences and Health Services; University of Calgary; Mahidol University; Eunice Kennedy Shriver National Institute of Child Health and Human Development; ZonMw; Deutsche Rentenversicherung; Universidade de Macau; Eli Lilly and Company; Scleroderma Society of Ontario; Ministry of Health, Labour and Welfare; University of Washington; Universität Heidelberg; European Commission; Hotchkiss Brain Institute, University of Calgary; Ohio Board of Regents; Pfizer","keywords":"PsycINFO; Meta-analysis; Confidence interval; Patient Health Questionnaire; Medicine; MEDLINE; Bivariate analysis; Depression (economics); Medical diagnosis; Clinical psychology; Depressive symptoms; Psychiatry; Internal medicine; Machine learning; Pathology; Cognition","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.6180500068179426,"score_gpt":0.575821454335756,"score_spread":0.0422285524821866,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}