| Keyword search (4,163 papers available) | ![]() |
"Bhandari PM" Authored Publications:
| Title | Authors | PubMed ID | |
|---|---|---|---|
| 1 | Data-driven methods distort optimal cutoffs and accuracy estimates of depression screening tools: a simulation study using individual participant data | Bhandari PM; Levis B; Neupane D; Patten SB; Shrier I; Thombs BD; Benedetti A; | 33838273 CONCORDIA |
| 2 | Overestimation of Postpartum Depression Prevalence Based on a 5-item Version of the EPDS: Systematic Review and Individual Participant Data Meta-analysis | Thombs BD; Levis B; Lyubenova A; Neupane D; Negeri Z; Wu Y; Sun Y; He C; Krishnan A; Vigod SN; Bhandari PM; Imran M; Rice DB; Azar M; Chiovitti MJ; Saadat N; Riehm KE; Boruff JT; Cuijpers P; Gilbody S; Ioannidis JPA; Kloda LA; Patten SB; Shrier I; Ziegelstein RC; Comeau L; Mitchell ND; Tonelli M; Barnes J; Beck CT; Bindt C; Figueiredo B; Helle N; Howard LM; Kohlhoff J; Kozinszky Z; Leonardou AA; Radoš SN; Quispel C; Rochat TJ; Stein A; Stewart RC; Tadinac M; Tandon SD; Tendais I; Töreki A; Tran TD; Trevillion K; Turner K; Vega-Dienstmaier JM; Benedetti A; | 33104415 LIBRARY |
| 3 | Depression prevalence based on the Edinburgh Postnatal Depression Scale compared to Structured Clinical Interview for DSM DIsorders classification: Systematic review and individual participant data meta-analysis | Lyubenova A; Neupane D; Levis B; Wu Y; Sun Y; He C; Krishnan A; Bhandari PM; Negeri Z; Imran M; Rice DB; Azar M; Chiovitti MJ; Saadat N; Riehm KE; Boruff JT; Ioannidis JPA; Cuijpers P; Gilbody S; Kloda LA; Patten SB; Shrier I; Ziegelstein RC; Comeau L; Mitchell ND; Tonelli M; Vigod SN; Aceti F; Barnes J; Bavle AD; Beck CT; Bindt C; Boyce PM; Bunevicius A; Chaudron LH; Favez N; Figueiredo B; Garcia-Esteve L; Giardinelli L; Helle N; Howard LM; Kohlhoff J; Kusminskas L; Kozinszky Z; Lelli L; Leonardou AA; Meuti V; Radoš SN; García PN; Pawlby SJ; Quispel C; Robertson-Blackmore E; Rochat TJ; Sharp DJ; Siu BWM; Stein A; Stewart RC; Tadinac M; Tandon SD; Tendais I; Töreki A; Torres-Giménez A; Tran TD; Trevillion K; Turner K; Vega-Dienstmaier JM; Benedetti A; Thombs BD; | 33089942 CONCORDIA |
| 4 | Protocol for a partially nested randomised controlled trial to evaluate the effectiveness of the scleroderma patient-centered intervention network COVID-19 home-isolation activities together (SPIN-CHAT) program to reduce anxiety among at-risk scleroderma patients. | Thombs BD, Kwakkenbos L, Carrier ME, Bourgeault A, Tao L, Harb S, Gagarine M, Rice D, Bustamante L, Ellis K, Duchek D, Wu Y, Bhandari PM, Neupane D, Carboni-Jiménez A, Henry RS, Krishnan A, Sun Y, Levis B, He C, Turner KA, Benedetti A, Culos-Reed N, El-Baalbaki G, Hebblethwaite S, Bartlett SJ, Dyas L, Patten S, Varga J, Scleroderma Patient-centered Intervention Network (SPIN) COVID-19 Patient Advisory Team, SPIN Investigators | 32521358 PSYCHOLOGY |
| 5 | Patient Health Questionnaire-9 scores do not accurately estimate depression prevalence: individual participant data meta-analysis | Levis B; Benedetti A; Ioannidis JPA; Sun Y; Negeri Z; He C; Wu Y; Krishnan A; Bhandari PM; Neupane D; Imran M; Rice DB; Riehm KE; Saadat N; Azar M; Boruff J; Cuijpers P; Gilbody S; Kloda LA; McMillan D; Patten SB; Shrier I; Ziegelstein RC; Alamri SH; Amtmann D; Ayalon L; Baradaran HR; Beraldi A; Bernstein CN; Bhana A; Bombardier CH; Carter G; Chagas MH; Chibanda D; Clover K; Conwell Y; Diez-Quevedo C; Fann JR; Fischer FH; Gholizadeh L; Gibson LJ; Green EP; Greeno CG; Hall BJ; Haroz EE; Ismail K; Jetté N; Khamseh ME; Kwan Y; Lara MA; Liu SI; Loureiro SR; Löwe B; Marrie RA; Marsh L; McGuire A; Muramatsu K; Navarrete L; Osório FL; Petersen I; Picardi A; Pugh SL; Quinn TJ; Rooney AG; Shinn EH; Sidebottom A; Spangenberg L; Tan PLL; Taylor-Rowan M; Turner A; van Weert HC; Vöhringer PA; Wagner LI; White J; Winkley K; Thombs BD; | 32105798 LIBRARY |
| 6 | Probability of major depression diagnostic classification based on the SCID, CIDI and MINI diagnostic interviews controlling for Hospital Anxiety and Depression Scale - Depression subscale scores: An individual participant data meta-analysis of 73 primary studies | Wu Y; Levis B; Sun Y; Krishnan A; He C; Riehm KE; Rice DB; Azar M; Yan XW; Neupane D; Bhandari PM; Imran M; Chiovitti MJ; Saadat N; Boruff JT; Cuijpers P; Gilbody S; McMillan D; Ioannidis JPA; Kloda LA; Patten SB; Shrier I; Ziegelstein RC; Henry M; Ismail Z; Loiselle CG; Mitchell ND; Tonelli M; Al-Adawi S; Beraldi A; Braeken APBM; Büel-Drabe N; Bunevicius A; Carter G; Chen CK; Cheung G; Clover K; Conroy RM; Cukor D; da Rocha E Silva CE; Dabscheck E; Daray FM; Douven E; Downing MG; Feinstein A; Ferentinos PP; Fischer FH; Flint AJ; Fujimori M; Gallagher P; Gandy M; Goebel S; Grassi L; Härter M; Jenewein J; Jetté N; Julião M; Kim JM; Kim SW; Kjærgaard M; Köhler S; Loosman WL; Löwe B; Martin-Santos R; Massardo L; Matsuoka Y; Mehnert A; Michopoulos I; Misery L; Navines R; O' Donnell ML; Öztürk A; Peceliuniene J; Pintor L; Ponsford JL; Quinn TJ; Reme SE; Reuter K; Rooney AG; Sánchez-González R; Schwarzbold ML; Senturk Cankorur V; Shaaban J; Sharpe L; Sharpe M; Simard S; Singer S; Stafford L; Stone J; Sultan S; Teixeira AL; Tiringer I; Turner A; Walker J; Walterfang M; Wang LJ; White J; Wong DK; Benedetti A; Thombs BD; | 31911325 LIBRARY |
| 7 | Comparison of major depression diagnostic classification probability using the SCID, CIDI, and MINI diagnostic interviews among women in pregnancy or postpartum: An individual participant data meta-analysis | Levis B; McMillan D; Sun Y; He C; Rice DB; Krishnan A; Wu Y; Azar M; Sanchez TA; Chiovitti MJ; Bhandari PM; Neupane D; Saadat N; Riehm KE; Imran M; Boruff JT; Cuijpers P; Gilbody S; Ioannidis JPA; Kloda LA; Patten SB; Shrier I; Ziegelstein RC; Comeau L; Mitchell ND; Tonelli M; Vigod SN; Aceti F; Alvarado R; Alvarado-Esquivel C; Bakare MO; Barnes J; Beck CT; Bindt C; Boyce PM; Bunevicius A; Couto TCE; Chaudron LH; Correa H; de Figueiredo FP; Eapen V; Fernandes M; Figueiredo B; Fisher JRW; Garcia-Esteve L; Giardinelli L; Helle N; Howard LM; Khalifa DS; Kohlhoff J; Kusminskas L; Kozinszky Z; Lelli L; Leonardou AA; Lewis BA; Maes M; Meuti V; Nakic Radoš S; Navarro García P; Nishi D; Okitundu Luwa E-Andjafono D; Robertson-Blackmore E; Rochat TJ; Rowe HJ; Siu BWM; Skalkidou A; Stein A; Stewart RC; Su KP; Sundström-Poromaa I; Tadinac M; Tandon SD; Tendais I; Thiagayson P; Töreki A; Torres-Giménez A; Tran TD; Trevillion K; Turner K; Vega-Dienstmaier JM; Wynter K; Yonkers KA; Benedetti A; Thombs BD; | 31568624 LIBRARY |
| Title: | Data-driven methods distort optimal cutoffs and accuracy estimates of depression screening tools: a simulation study using individual participant data | ||||
| Authors: | Bhandari PM, Levis B, Neupane D, Patten SB, Shrier I, Thombs BD, Benedetti A | ||||
| Link: | https://pubmed.ncbi.nlm.nih.gov/33838273/ | ||||
| DOI: | 10.1016/j.jclinepi.2021.03.031 | ||||
| Publication: | Journal of clinical epidemiology | ||||
| Keywords: | Accuracy estimates; Bias; Cherry-picking; Data-driven methods; Depression; Optimal cutoff; | ||||
| PMID: | 33838273 | Category: | Date Added: | 2021-05-16 | |
| Dept Affiliation: |
CONCORDIA
1 Lady Davis Institute for Medical Research, Jewish General Hospital, Montreal, Quebec, Canada; Department of Epidemiology, Biostatistics and Occupational Health, McGill University, Montreal, Quebec, Canada. 2 Lady Davis Institute for Medical Research, Jewish General Hospital, Montreal, Quebec, Canada; Department of Epidemiology, Biostatistics and Occupational Health, McGill University, Montreal, Quebec, Canada; Centre for Prognosis Research, School of Medicine, Keele University, Staffordshire, UK. 3 Department of Community Health Sciences, University of Calgary, Calgary, Alberta, Canada. 4 Lady Davis Institute for Medical Research, Jewish General Hospital, Montreal, Quebec, Canada; Department of Epidemiology, Biostatistics and Occupational Health, McGill University, Montreal, Quebec, Canada; Department of Family Medicine, McGill University, Montréal, Québec, Canada. 5 Lady Davis Institute for Medical Research, Jewish General Hospital, Montreal, Quebec, Canada; Department of Epidemiology, Biostatistics and Occupational Health, McGill University, Montreal, Quebec, Canada; Department of Medicine, McGill University, Montréal, Québec, Canada; Department of Psychiatry, McGill University, Montréal, Québec, Canada; Department of Psychology, McGill University, Montréal, Québec, Canada; Department of Educational and Counselling Psychology, McGill University, Montréal, Québec, Canada; Biomedical Ethics Unit, McGill University, Montréal, Québec, Canada. Electronic address: brett.thombs@mcgill.ca. 6 Lady Davis Institute for Medical Research, Jewish General Hospital, Montreal, Quebec, Canada; Department of Epidemiology, Biostatistics and Occupational Health, McGill University, Montreal, Quebec, Canada; Department of Medicine, McGill University, Montréal, Québec, Canada. Electronic address: andrea.benedetti@mcgill.ca. 7 Lady Davis Institute for Medical Research, Jewish General Hospital, Montréal, Québec, Canada. 8 Schulich Library of Physical Sciences, Life Sciences, and Engineering, McGill University, Montréal, Québec, Canada. 9 Department of Clinical, Neuro and Developmental Psychology, Amsterdam Public Health Research Institute, Vrije Universiteit, Amsterdam, the Netherlands. 10 Hull York Medical School and the Department of Health Sciences, University of York, Heslington, York, UK. 11 Department of Medicine, Department of Health Research and Policy, Department of Biomedical Data Science, Department of Statistics, Stanford University, Stanford, California, USA. 12 Library, Concordia University, Montréal, Québec, Canada. 13 Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA. 14 International Union for Health Promotion and Health Education, École de santé publique de l'Université de Montréal, Montréal, Québec, Canada. 15 Department of Psychiatry, University of Alberta, Edmonton, Alberta, Canada. 16 Department of Medicine, University of Calgary, Calgary, Alberta, Canada. 17 Women's College Hospital and Research Institute, University of Toronto, Toronto, Ontario, Canada. 18 Department of Neurology and Psychiatry, Sapienza University of Rome, Rome, Italy. 19 School of Public Health, Faculty of Medicine, Universidad de Chile, Santiago, Chile. 20 Laboratorio de Investigación Biomédica, Facultad de Medicina y Nutrición, Avenida Universidad, Dgo, Mexico. 21 Child and Adolescent Unit, Federal Neuropsychiatric Hospital, Enugu, Nigeria. 22 Department of Psychological Sciences, Birkbeck, University of London, UK. 23 Departm |
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Description: |
Objective: To evaluate, across multiple sample sizes, the degree that data-driven methods result in (1) optimal cutoffs different from population optimal cutoff and (2) bias in accuracy estimates. Study design and setting: A total of 1,000 samples of sample size 100, 200, 500 and 1,000 each were randomly drawn to simulate studies of different sample sizes from a database (n = 13,255) synthesized to assess Edinburgh Postnatal Depression Scale (EPDS) screening accuracy. Optimal cutoffs were selected by maximizing Youden's J (sensitivity+specificity-1). Optimal cutoffs and accuracy estimates in simulated samples were compared to population values. Results: Optimal cutoffs in simulated samples ranged from = 5 to = 17 for n = 100, = 6 to = 16 for n = 200, = 6 to = 14 for n = 500, and = 8 to = 13 for n = 1,000. Percentage of simulated samples identifying the population optimal cutoff (= 11) was 30% for n = 100, 35% for n = 200, 53% for n = 500, and 71% for n = 1,000. Mean overestimation of sensitivity and underestimation of specificity were 6.5 percentage point (pp) and -1.3 pp for n = 100, 4.2 pp and -1.1 pp for n = 200, 1.8 pp and -1.0 pp for n = 500, and 1.4 pp and -1.0 pp for n = 1,000. Conclusions: Small accuracy studies may identify inaccurate optimal cutoff and overstate accuracy estimates with data-driven methods. |



