{"id":"W2980154628","doi":"10.1159/000502294","title":"The Accuracy of the Patient Health Questionnaire-9 Algorithm for Screening to Detect Major Depression: An Individual Participant Data Meta-Analysis","year":2019,"lang":"en","type":"review","venue":"Psychotherapy and Psychosomatics","topic":"Mental Health Treatment and Access","field":"Psychology","cited_by":124,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University Health Centre; Jewish General Hospital; Ontario Brain Institute; McGill University; University of Calgary; Concordia University","funders":"Canadian Arthritis Network; National Institute of Diabetes and Digestive and Kidney Diseases; National Heart, Lung, and Blood Institute; Programme Grants for Applied Research; Health Research Council of New Zealand; Fonds de Recherche du Québec - Santé; Canadian Institutes of Health Research; Health Resources and Services Administration; H. Lundbeck A/S; Safe Work Australia; Universidade de São Paulo; National Health Research Institutes; Universiti Sains Malaysia; Fundação de Amparo à Pesquisa do Estado do Rio Grande do Sul; Medical Research Council; Servier; Universiti Putra Malaysia; National Center for Research Resources; National Institute of General Medical Sciences; Centers for Disease Control and Prevention; Mahidol University; Eisai; Chinese Diabetes Society; Conselho Nacional de Desenvolvimento Científico e Tecnológico; Agency for Healthcare Research and Quality; University of Auckland; Ministero della Salute; Universität Heidelberg; Universiteit van Amsterdam; Robert Wood Johnson Foundation; Banco Santander; American Federation for Aging Research; University of Melbourne; Eli Lilly and Company; Universidade de Macau; Novartis Pharma; National Institute on Minority Health and Health Disparities; European Commission; Bundesministerium für Bildung und Forschung; Ischemia Research and Education Foundation; National Institute for Health and Care Research; Deutsche Rentenversicherung; Alberta Health Services; Ministry of Health, Labour and Welfare; National Institute on Disability and Rehabilitation Research; Pfizer; University of Washington; Fogarty International Center; Tehran University of Medical Sciences and Health Services; National Institutes of Health; Health Services Research and Development; National Institute of Mental Health; Hunter Medical Research Institute; National Health and Medical Research Council; Jewish General Hospital; Ohio Board of Regents; Arthritis Society; U.S. Department of Veterans Affairs; ZonMw; U.S. Department of Health and Human Services","keywords":"PsycINFO; Confidence interval; Algorithm; Meta-analysis; MEDLINE; Patient Health Questionnaire; Medicine; Depression (economics); Cutoff; Mini-international neuropsychiatric interview; Receiver operating characteristic; Clinical psychology; Depressive symptoms; Psychiatry; Internal medicine; Computer science; Cognition","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001673328,0.0006295384,0.002697971,0.0002110236,0.0008196176,0.0001717792,0.001863179,0.0002629116,0.0001548922],"category_scores_gemma":[0.00002504057,0.0003051644,0.001106288,0.0008744044,0.00009972785,0.0001484245,0.00009675766,0.0003261103,0.00001230768],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000172137,"about_ca_system_score_gemma":0.00009352231,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001816686,"about_ca_topic_score_gemma":0.0003452797,"domain_scores_codex":[0.9946018,0.001380448,0.001822308,0.001012294,0.0005241898,0.0006589068],"domain_scores_gemma":[0.9927558,0.00139129,0.002009431,0.003480939,0.00006841034,0.0002941308],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00005698796,0.0002152077,0.00002433084,0.001299885,0.05491483,2.77675e-7,0.001539254,9.551818e-7,1.477967e-8,0.00009702518,0.001936393,0.9399148],"study_design_scores_gemma":[0.0009810837,0.0008127543,0.0003163574,0.001661608,0.1611228,0.00001301113,0.0002530064,0.0002382721,5.634756e-7,0.0007130846,0.8333578,0.0005297134],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00002515514,0.972269,0.01709718,0.0007269613,0.00121116,0.006356399,0.002257138,0.00003168698,0.00002529466],"genre_scores_gemma":[0.00008668487,0.9785207,0.01668921,0.00148056,0.0002030136,0.002224012,0.0004340325,0.0001041908,0.0002576089],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9393851,"threshold_uncertainty_score":0.99994,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.428249616973115,"score_gpt":0.5222049003526213,"score_spread":0.09395528337950637,"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."}}