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PubMed Publications| Keyword search (4,164 papers available) |  |
"Accuracy" Keyword-tagged Publications:
| Title | Authors | PubMed ID | |
|---|---|---|---|
| 1 | Are MEDLINE searches sufficient for systematic reviews and meta-analyses of the diagnostic accuracy of depression screening tools? A review of meta-analyses | Rice DB; Kloda LA; Levis B; Qi B; Kingsland E; Thombs BD; | 27411746 LIBRARY |
| 2 | Reporting quality in abstracts of meta-analyses of depression screening tool accuracy: a review of systematic reviews and meta-analyses | Rice DB; Kloda LA; Shrier I; Thombs BD; | 27864250 LIBRARY |
| 3 | Class imbalance should not throw you off balance: Choosing the right classifiers and performance metrics for brain decoding with imbalanced data | Thölke P; Mantilla-Ramos YJ; Abdelhedi H; Maschke C; Dehgan A; Harel Y; Kemtur A; Mekki Berrada L; Sahraoui M; Young T; Bellemare Pépin A; El Khantour C; Landry M; Pascarella A; Hadid V; Combrisson E; O' Byrne J; Jerbi K; | 37385392 IMAGING |
| 4 | How uncertainty affects information search among consumers: a curvilinear perspective | He S; Rucker DD; | 36471868 JMSB |
| 5 | Transparency and completeness of reporting of depression screening tool accuracy studies: A meta-research review of adherence to the Standards for Reporting of Diagnostic Accuracy Studies statement | Nassar EL; Levis B; Neyer MA; Rice DB; Booij L; Benedetti A; Thombs BD; | 36047034 PSYCHOLOGY |
| 6 | Sample size and precision of estimates in studies of depression screening tool accuracy: A meta-research review of studies published in 2018-2021 | Nassar EL; Levis B; Neyer MA; Rice DB; Booij L; Benedetti A; Thombs BD; | 35362161 PSYCHOLOGY |
| 7 | Inclusion of currently diagnosed or treated individuals in studies of depression screening tool accuracy: a meta-research review of studies published in 2018-2021 | Nassar EL; Levis B; Rice DB; Booij L; Benedetti A; Thombs BD; | 35334411 PSYCHOLOGY |
| 8 | A Simulation Toolkit for Testing the Sensitivity and Accuracy of Corticometry Pipelines | OmidYeganeh M; Khalili-Mahani N; Bermudez P; Ross A; Lepage C; Vincent RD; Jeon S; Lewis LB; Das S; Zijdenbos AP; Rioux P; Adalat R; Van Eede MC; Evans AC; | 34381348 PERFORM |
| 9 | 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 |
| 10 | Equivalency of the diagnostic accuracy of the PHQ-8 and PHQ-9: a systematic review and individual participant data meta-analysis | 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 SB; Shrier I; Ziegelstein RC; Akena DH; Arroll B; Ayalon L; Baradaran HR; Baron M; Bombardier CH; Butterworth P; Carter G; Chagas MH; Chan JCN; Cholera R; Conwell Y; de Man-van Ginkel JM; Fann JR; Fischer FH; Fung D; Gelaye B; Goodyear-Smith F; Greeno CG; Hall BJ; Harrison PA; Härter M; Hegerl U; Hides L; Hobfoll SE; Hudson M; Hyphantis T; Inagaki M; Jetté N; Khamseh ME; Kiely KM; Kwan Y; Lamers F; Liu SI; Lotrakul M; Loureiro SR; Löwe B; McGuire A; Mohd-Sidik S; Munhoz TN; Muramatsu K; Osório FL; Patel V; Pence BW; Persoons P; Picardi A; Reuter K; Rooney AG; Santos IS; Shaaban J; Sidebottom A; Simning A; Stafford L; Sung S; Tan PLL; Turner A; van Weert HC; White J; Whooley MA; Winkley K; Yamada M; Benedetti A; Thombs BD; | 31298180 LIBRARY |
| 11 | Diagnostic accuracy of the Depression subscale of the Hospital Anxiety and Depression Scale (HADS-D) for detecting major depression: protocol for a systematic review and individual patient data meta-analyses. | 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, Ziegelstein RC, Loiselle CG, Henry M, Ismail Z, Mitchell N, Tonelli M | 27075844 LIBRARY |
| 12 | Gesture-based registration correction using a mobile augmented reality image-guided neurosurgery system. | Léger É, Reyes J, Drouin S, Collins DL, Popa T, Kersten-Oertel M | 30800320 PERFORM |
| 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. |
