Keyword search (3,448 papers available) |
Author(s): Rice DB; Kloda LA; Levis B; Qi B; Kingsland E; Thombs BD;
Objective: Database searches for studies of diagnostic test accuracy are notoriously difficult to filter, highly resource-intensive, and a potential barrier to quality evidence synthesis. We examined published meta-analyses of depression screening tool accu...
Article GUID: 27411746
Author(s): Delisle VC; Gumuchian ST; Kloda LA; Boruff J; El-Baalbaki G; Körner A; Malcarne VL; Thombs BD;...
Objective: Peer facilitators play an important role in determining the success of many support groups for patients with medical illnesses. However, many facilitators do not receive...
Article GUID: 27856483
Author(s): Rice DB; Kloda LA; Shrier I; Thombs BD;
Objective: Concerns have been raised regarding the quality and completeness of abstract reporting in evidence reviews, but this had not been evaluated in meta-analyses of diagnostic accuracy. Our objective was to evaluate reporting quality and completeness ...
Article GUID: 27864250
Author(s): Roseman M; Saadat N; Riehm KE; Kloda LA; Boruff J; Ickowicz A; Baltzer F; Katz LY; Patten SB; Rousseau C; Thombs BD;...
Objective: Depression screening among children and adolescents is controversial. In 2009, the United States Preventive Services Task Force first recommended routine depression screening for adolesc...
Article GUID: 28851234
Author(s): Pourali M; Townsend C; Kross A; Guindon A; Jaeger JAG;
The dataset presented here provides the degree of urban sprawl across 33 Census Metropolitan Areas (CMAs) in Canada of 2011 together with the 469 Census Subdivisions (CSDs) located within the 2011 boundaries of the CMAs, for the years 1991, 2001, and 2011. ...
Article GUID: 35242923
Author(s): 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; Chiovi...
Objective: The Maternal Mental Health in Canada, 2018/2019, survey reported that 18% of 7,085 mothers who recently gave birth reported "feelings consistent with postpartum depression" based on scor...
Article GUID: 33104415
Author(s): Wu Y; Levis B; Ioannidis JPA; Benedetti A; Thombs BD;
Introduction: Three previous individual participant data meta-analyses (IPDMAs) reported that, compared to the Structured Clinical Interview for the DSM (SCID), alternative reference standards, primarily the Composite International Diagnostic Interview (CID...
Article GUID: 32814337
Author(s): Kloda LA, Boruff JT, Cavalcante AS
J Med Libr Assoc. 2020 Apr;108(2):185-194 Authors: Kloda LA, Boruff JT, Cavalcante AS
Article GUID: 32256230
Author(s): 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; ...
Objectives: Depression symptom questionnaires are not for diagnostic classification. Patient Health Questionnaire-9 (PHQ-9) scores =10 are nonetheless often used to estimate depression prevalence. ...
Article GUID: 32105798
Author(s): 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 J...
Objective: Two previous individual participant data meta-analyses (IPDMAs) found that different diagnostic interviews classify different proportions of people as having major depression overall or ...
Article GUID: 31911325
Author(s): Thombs BD; Levis AW; Azar M; Saadat N; Riehm KE; Sanchez TA; Chiovitti MJ; Rice DB; Levis B; Fedoruk C; Lyubenova A; Malo Vázquez de Lara AL...
Objectives: We evaluated whether sample sizes in different arms of two-arm parallel group randomized controlled trials of nonregulated interventions were systematically closer in size than would pl...
Article GUID: 31866472
Author(s): 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; I...
Objectives: A previous individual participant data meta-analysis (IPDMA) identified differences in major depression classification rates between different diagnostic interviews, controlling for dep...
Article GUID: 31568624
Author(s): Wu Y; Levis B; Riehm KE; Saadat N; Levis AW; Azar M; Rice DB; Boruff J; Cuijpers P; Gilbody S; Ioannidis JPA; Kloda LA; McMillan D; Patten S...
Background: Item 9 of the Patient Health Questionnaire-9 (PHQ-9) queries about thoughts of death and self-harm, but not suicidality. Although it is sometimes used to assess suicide risk, most posit...
Article GUID: 31298180
Author(s): Thombs BD, Benedetti A, Kloda LA, Levis B, Azar M, Riehm KE, Saadat N, Cuijpers P, Gilbody S, Ioannidis JP, McMillan D, Patten SB, Shrier I,...
BMJ Open. 2016 Apr 13;6(4):e011913 Authors: Thombs BD, Benedetti A, Kloda LA, Levis B, Azar M, Riehm KE, Saadat N, Cuijpers P, Gilbody S, Ioannidis JP, McMillan D, Patten SB, Shrier I, Steele RJ, ...
Article GUID: 27075844
Author(s): Levis B; Benedetti A; Riehm KE; Saadat N; Levis AW; Azar M; Rice DB; Chiovitti MJ; Sanchez TA; Cuijpers P; Gilbody S; Ioannidis JPA; Kloda L...
Background: Different diagnostic interviews are used as reference standards for major depression classification in research. Semi-structured interviews involve clinical judgement, whereas fully str...
Article GUID: 29717691
Author(s): Ishihara M; Harel D; Levis B; Levis AW; Riehm KE; Saadat N; Azar M; Rice DB; Sanchez TA; Chiovitti MJ; Cuijpers P; Gilbody S; Ioannidis JPA;...
Background: The objective of this study was to develop and validate a short form of the Patient Health Questionnaire-9 (PHQ-9), a self-report questionnaire for assessing depressive symptomatology, ...
Article GUID: 30238571
Author(s): Azar M; Riehm KE; Saadat N; Sanchez T; Chiovitti M; Qi L; Rice DB; Levis B; Fedoruk C; Levis AW; Kloda LA; Kimmelman J; Benedetti A; Thombs ...
Importance: Many interventions that are important to the health care of patients are not subject to regulation by the US Food and Drug Administration (FDA) or comparable regulatory bodies in other ...
Article GUID: 30855655
Title: | 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 |
Authors: | 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, |
Link: | https://pubmed.ncbi.nlm.nih.gov/31911325/ |
DOI: | 10.1016/j.jpsychores.2019.109892 |
Category: | J Psychosom Res |
PMID: | 31911325 |
Dept Affiliation: | LIBRARY
1 Lady Davis Institute for Medical Research, Jewish General Hospital, Montréal, QC, Canada; Department of Epidemiology, Biostatistics and Occupational Health, McGill University, Montréal, QC, Canada; Department of Psychiatry, McGill University, Montréal, QC, Canada. 2 Lady Davis Institute for Medical Research, Jewish General Hospital, Montréal, QC, Canada; Department of Epidemiology, Biostatistics and Occupational Health, McGill University, Montréal, QC, Canada. 3 Lady Davis Institute for Medical Research, Jewish General Hospital, Montréal, QC, Canada. 4 Lady Davis Institute for Medical Research, Jewish General Hospital, Montréal, QC, Canada; Department of Mental Health, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD, USA. 5 Lady Davis Institute for Medical Research, Jewish General Hospital, Montréal, QC, Canada; Department of Psychology, McGill University, Montréal, QC, Canada. 6 Schulich Library of Physical Sciences, Life Sciences, and Engineering, McGill University, Montreal, QC, Canada. 7 EMGO Institute, Vrije Universiteit Amsterdam, the Netherlands. 8 Hull York Medical School and the Department of Health Sciences, University of York, Heslington, York, UK. 9 Department of Clinical, Neuro and Developmental Psychology, Department of Medicine, Department of Health Research and Policy, Department of Biomedical Data Science, Department of Statistics, Stanford University, Stanford, CA, USA. 10 Library, Concordia University, Montréal, QC, Canada. 11 Departments of Community Health Sciences and Psychiatry, University of Calgary, Calgary, AB, Canada; Mathison Centre for Mental Health Research & Education, University of Calgary, Calgary, Canada; Cuthbertson & Fischer Chair in Pediatric Mental Health, University of Calgary, Calgary, Canada. 12 Lady Davis Institute for Medical Research, Jewish General Hospital, Montréal, QC, Canada; Department of Epidemiology, Biostatistics and Occupational Health, McGill University, Montréal, QC, Canada; Department of Family Medicine, McGill University, Montréal, QC, Canada. 13 Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA. 14 Hotchkiss Brain Institute & O'Brien Institute for Public Health, Calgary, AB, Canada; Department of Psychiatry, Clinical Neuroscience and Community Health Sciences, University of Calgary, Calgary, AB, Canada; Cumming School of Medicine, University of Calgary, Calgary, AB, Canada. 15 Lady Davis Institute for Medical Research, Jewish General Hospital, Montréal, QC, Canada; Ingram School of Nursing, McGill University, Montréal, QC, Canada; Centre for Nursing Research, Jewish General Hospital, Montréal, QC, Canada; Department of Oncology, Faculty of Medicine, McGill University, Montréal, QC, Canada. 16 Department of Psychiatry, University of Alberta, Edmonton, AB, Canada; Alberta Health Services, Edmonton, AB, Canada. 17 Cumming School of Medicine, University of Calgary, Calgary, AB, Canada. 18 Department of Behavioural Medicine, College of Medicine & Health Sciences, Sultan Qaboos University, Oman, Oman. 19 Psychotherapie und Psychsomatik, kbo Lech-Mangfall-Klinik für Psychatrie, Garmisch-Partenkirchen, Bayern, Germany. 20 Department of Radiation Oncology (MAASTRO), GROW - School for Oncology and Developmental Biology, Maastricht University Medical Centre, Maastricht, the Netherlands; Faculty of Psychology, Open University of the Netherlands, Heerlen, the Netherlands; Department of Health Services Research, CAPHRI School for Public Health and Primary, Maastricht University, Maastri |
Description: |
Objective: Two previous individual participant data meta-analyses (IPDMAs) found that different diagnostic interviews classify different proportions of people as having major depression overall or by symptom levels. We compared the odds of major depression classification across diagnostic interviews among studies that administered the Depression subscale of the Hospital Anxiety and Depression Scale (HADS-D). Methods: Data accrued for an IPDMA on HADS-D diagnostic accuracy were analysed. We fit binomial generalized linear mixed models to compare odds of major depression classification for the Structured Clinical Interview for DSM (SCID), Composite International Diagnostic Interview (CIDI), and Mini International Neuropsychiatric Interview (MINI), controlling for HADS-D scores and participant characteristics with and without an interaction term between interview and HADS-D scores. Results: There were 15,856 participants (1942 [12%] with major depression) from 73 studies, including 15,335 (97%) non-psychiatric medical patients, 164 (1%) partners of medical patients, and 357 (2%) healthy adults. The MINI (27 studies, 7345 participants, 1066 major depression cases) classified participants as having major depression more often than the CIDI (10 studies, 3023 participants, 269 cases) (adjusted odds ratio [aOR] = 1.70 (0.84, 3.43)) and the semi-structured SCID (36 studies, 5488 participants, 607 cases) (aOR = 1.52 (1.01, 2.30)). The odds ratio for major depression classification with the CIDI was less likely to increase as HADS-D scores increased than for the SCID (interaction aOR = 0.92 (0.88, 0.96)). Conclusion: Compared to the SCID, the MINI may diagnose more participants as having major depression, and the CIDI may be less responsive to symptom severity. |