Browsing by Author "Mahrukh Imran"

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    The Accuracy of the Patient Health Questionnaire-9 Algorithm for Screening to Detect Major Depression: An Individual Participant Data Meta-Analysis
    (2020-01-01) Chen He; Brooke Levis; Kira E. Riehm; Nazanin Saadat; Alexander W. Levis; Marleine Azar; Danielle B. Rice; Ankur Krishnan; Yin Wu; Ying Sun; Mahrukh Imran; Jill Boruff; Pim Cuijpers; Simon Gilbody; John P.A. Ioannidis; Lorie A. Kloda; Dean McMillan; Scott B. Patten; Ian Shrier; Roy C. Ziegelstein; Dickens H. Akena; Bruce Arroll; Liat Ayalon; Hamid R. Baradaran; Murray Baron; Anna Beraldi; Charles H. Bombardier; Peter Butterworth; Gregory Carter; Marcos Hortes Nisihara Chagas; Juliana C.N. Chan; Rushina Cholera; Kerrie Clover; Yeates Conwell; Janneke M. De Man-Van Ginkel; Jesse R. Fann; Felix H. Fischer; Daniel Fung; Bizu Gelaye; Felicity Goodyear-Smith; Catherine G. Greeno; Brian J. Hall; Patricia A. Harrison; Martin Härter; Ulrich Hegerl; Leanne Hides; Stevan E. Hobfoll; Marie Hudson; Thomas N. Hyphantis; Masatoshi Inagaki; Khalida Ismail; Nathalie Jetté; Mohammad E. Khamseh; Kim M. Kiely; Yunxin Kwan; Femke Lamers; Shen Ing Liu; Manote Lotrakul; Sonia R. Loureiro; Bernd Löwe; Laura Marsh; Anthony McGuire; Sherina Mohd-Sidik; Tiago N. Munhoz; Kumiko Muramatsu; Flávia L. Osório; Vikram Patel; Brian W. Pence; Philippe Persoons; Angelo Picardi; Katrin Reuter; Alasdair G. Rooney; Iná S. Da Silva Dos Santos; Juwita Shaaban; Abbey Sidebottom; Adam Simning; Lesley Stafford; Sharon Sung; Pei Lin Lynnette Tan; Alyna Turner; Henk C.P.M. Van Weert; Jennifer White; Mary A. Whooley; Kirsty Winkley; Mitsuhiko Yamada; Brett D. Thombs; Andrea Benedetti; Melbourne Institute; Melbourne School of Psychological Sciences; San Francisco VA Health Care System; Mackay Medical College; Calvary Mater Newcastle; Duke-NUS Medical School Singapore; City of Minneapolis; Hunter Medical Research Institute, Australia; Niigata Seiryo University; Bar-Ilan University School of Social Work; Makerere University; Concordia University; University Medical Center Utrecht; Royal Women's Hospital, Carlton; Harvard T.H. Chan School of Public Health; KU Leuven– University Hospital Leuven; University of Queensland; Mackay Memorial Hospital Taiwan; University of New South Wales (UNSW) Australia; University of Edinburgh; Yong Loo Lin School of Medicine; Shimane University; Charité – Universitätsmedizin Berlin; Universiti Putra Malaysia; The University of North Carolina at Chapel Hill; KU Leuven; Iran University of Medical Sciences; Prince of Wales Hospital Hong Kong; University of Rochester Medical Center; University of California, San Francisco; Neuroscience Research Australia; Universidade de Macau; Lady Davis Institute for Medical Research; UNC School of Medicine; Technical University of Munich; Monash University; Deakin University; National Center of Neurology and Psychiatry Kodaira; University of Newcastle, Faculty of Health and Medicine; University of York; Saint Joseph's College of Maine; Faculty of Medicine, Ramathibodi Hospital, Mahidol University; University of Aberdeen; University of Pittsburgh; University of Washington, Seattle; Universidade Federal de Pelotas; Icahn School of Medicine at Mount Sinai; Stanford University; King's College London; Istituto Superiore Di Sanita; Singapore Institute of Mental Health; Australian National University; Vrije Universiteit Amsterdam; Goethe-Universität Frankfurt am Main; Centre universitaire de santé McGill; Johns Hopkins Bloomberg School of Public Health; University of Auckland; Nanyang Technological University; Universitätsklinikum Hamburg-Eppendorf und Medizinische Fakultät; Panepistimion Ioanninon; Chinese University of Hong Kong; Harvard Medical School; School of Medical Sciences - Universiti Sains Malaysia; McGill University; Tan Tock Seng Hospital; Baylor College of Medicine; University of Calgary; Amsterdam UMC - University of Amsterdam; Johns Hopkins School of Medicine; Private Practice for Psychotherapy and Psycho-oncology; STAR-Stress; National Institute of Science and Technology; Allina Health
    © 2019 S. Karger AG, Basel. All rights reserved. Background: Screening for major depression with the Patient Health Questionnaire-9 (PHQ-9) can be done using a cutoff or the PHQ-9 diagnostic algorithm. Many primary studies publish results for only one approach, and previous meta-analyses of the algorithm approach included only a subset of primary studies that collected data and could have published results. Objective: To use an individual participant data meta-analysis to evaluate the accuracy of two PHQ-9 diagnostic algorithms for detecting major depression and compare accuracy between the algorithms and the standard PHQ-9 cutoff score of ≥10. Methods: Medline, Medline In-Process and Other Non-Indexed Citations, PsycINFO, Web of Science (January 1, 2000, to February 7, 2015). Eligible studies that classified current major depression status using a validated diagnostic interview. Results: Data were included for 54 of 72 identified eligible studies (n participants = 16,688, n cases = 2,091). Among studies that used a semi-structured interview, pooled sensitivity and specificity (95% confidence interval) were 0.57 (0.49, 0.64) and 0.95 (0.94, 0.97) for the original algorithm and 0.61 (0.54, 0.68) and 0.95 (0.93, 0.96) for a modified algorithm. Algorithm sensitivity was 0.22-0.24 lower compared to fully structured interviews and 0.06-0.07 lower compared to the Mini International Neuropsychiatric Interview. Specificity was similar across reference standards. For PHQ-9 cutoff of ≥10 compared to semi-structured interviews, sensitivity and specificity (95% confidence interval) were 0.88 (0.82-0.92) and 0.86 (0.82-0.88). Conclusions: The cutoff score approach appears to be a better option than a PHQ-9 algorithm for detecting major depression.
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    Selective cutoff reporting in studies of the accuracy of the Patient Health Questionnaire-9 and Edinburgh Postnatal Depression Scale: Comparison of results based on published cutoffs versus all cutoffs using individual participant data meta-analysis
    (2021-09-01) Dipika Neupane; Brooke Levis; Parash M. Bhandari; Brett D. Thombs; Andrea Benedetti; Ying Sun; Chen He; Yin Wu; Ankur Krishnan; Zelalem Negeri; Mahrukh Imran; Danielle B. Rice; Kira E. Riehm; Nazanin Saadat; Marleine Azar; Tatiana A. Sanchez; Matthew J. Chiovitti; Alexander W. Levis; Jill T. Boruff; Pim Cuijpers; Simon Gilbody; John P.A. Ioannidis; Lorie A. Kloda; Scott B. Patten; Ian Shrier; Roy C. Ziegelstein; Liane Comeau; Nicholas D. Mitchell; Marcello Tonelli; Simone N. Vigod; Dickens H. Akena; Rubén Alvarado; Bruce Arroll; Muideen O. Bakare; Hamid R. Baradaran; Cheryl Tatano Beck; Charles H. Bombardier; Adomas Bunevicius; Gregory Carter; Marcos H. Chagas; Linda H. Chaudron; Rushina Cholera; Kerrie Clover; Yeates Conwell; Tiago Castro e Couto; Janneke M. de Man-van Ginkel; Jaime Delgadillo; Jesse R. Fann; Nicolas Favez; Daniel Fung; Lluïsa Garcia-Esteve; Bizu Gelaye; Felicity Goodyear-Smith; Thomas Hyphantis; Masatoshi Inagaki; Khalida Ismail; Nathalie Jetté; Dina Sami Khalifa; Mohammad E. Khamseh; Jane Kohlhoff; Zoltán Kozinszky; Laima Kusminskas; Shen Ing Liu; Manote Lotrakul; Sonia R. Loureiro; Bernd Löwe; Sherina Mohd Sidik; Sandra Nakić Radoš; Flávia L. Osório; Susan J. Pawlby; Brian W. Pence; Tamsen J. Rochat; Alasdair G. Rooney; Deborah J. Sharp; Lesley Stafford; Kuan Pin Su; Sharon C. Sung; Meri Tadinac; S. Darius Tandon; Pavaani Thiagayson; Annamária Töreki; Anna Torres-Giménez; Alyna Turner; Christina M. van der Feltz-Cornelis; Johann M. Vega-Dienstmaier; Paul A. Vöhringer; Jennifer White; Mary A. Whooley; Kirsty Winkley; Mitsuhiko Yamada; Ramathibodi Hospital; Makerere University College of Health Sciences; School of Medicine; School of Medicine and Public Health; Bristol Medical School; Lietuvos sveikatos mokslų universitetas; Duke-NUS Medical School; Universidad Peruana Cayetano Heredia, Facultad de Medicina Alberto Hurtado; University of New South Wales Faculty of Medicine, School of Psychiatry; University of the Witwatersrand Faculty of Health Sciences; Concordia University; Stanford University School of Medicine; University Medical Center Utrecht; Royal Women's Hospital, Carlton; Harvard T.H. Chan School of Public Health; China Medical University Hospital; University of Alberta; Hospital Clinic Barcelona; McGill Faculty of Medicine and Health Sciences; Faculty of Medicine; Szegedi Tudományegyetem (SZTE); The University of Edinburgh; Danderyds Sjukhus; Universiti Putra Malaysia; The University of North Carolina at Chapel Hill; Iran University of Medical Sciences; University of Rochester Medical Center; University of California, San Francisco; Lady Davis Institute for Medical Research; Monash University; Keele University, School of Medicine; National Center of Neurology and Psychiatry Kodaira; University of Newcastle, Faculty of Health and Medicine; University of Toronto; University of York; University of Washington; Universidade Federal de Uberlândia; Northwestern University Feinberg School of Medicine; University of Rochester School of Medicine and Dentistry; Hospital Clínico Universidad De Chile; King's College London; University of Montreal; Singapore Institute of Mental Health; Shimane University Faculty of Medicine; University of Zagreb; School of Nursing; Universidade de São Paulo; Centre Universitaire de Santé McGill; The University of Auckland; Duke University School of Medicine; Universitätsklinikum Hamburg-Eppendorf; Université de Genève; Medisinske Fakultet; Facultad de Medicina de la Universidad de Chile; Université McGill; Universiteit van Amsterdam; University of Calgary; The University of Sheffield; Johns Hopkins School of Medicine; Cumming School of Medicine; Private Practice; Federal Neuropsychiatric Hospital; Catholic University of Croatia
    Objectives: Selectively reported results from only well-performing cutoffs in diagnostic accuracy studies may bias estimates in meta-analyses. We investigated cutoff reporting patterns for the Patient Health Questionnaire-9 (PHQ-9; standard cutoff 10) and Edinburgh Postnatal Depression Scale (EPDS; no standard cutoff, commonly used 10–13) and compared accuracy estimates based on published cutoffs versus all cutoffs. Methods: We conducted bivariate random effects meta-analyses using individual participant data to compare accuracy from published versus all cutoffs. Results: For the PHQ-9 (30 studies, N = 11,773), published results underestimated sensitivity for cutoffs below 10 (median difference: −0.06) and overestimated for cutoffs above 10 (median difference: 0.07). EPDS (19 studies, N = 3637) sensitivity estimates from published results were similar for cutoffs below 10 (median difference: 0.00) but higher for cutoffs above 13 (median difference: 0.14). Specificity estimates from published and all cutoffs were similar for both tools. The mean cutoff of all reported cutoffs in PHQ-9 studies with optimal cutoff below 10 was 8.8 compared to 11.8 for those with optimal cutoffs above 10. Mean for EPDS studies with optimal cutoffs below 10 was 9.9 compared to 11.8 for those with optimal cutoffs greater than 10. Conclusion: Selective cutoff reporting was more pronounced for the PHQ-9 than EPDS.