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PubMed Publications| Keyword search (4,163 papers available) |  |
"Screening" Keyword-tagged Publications:
| Title | Authors | PubMed ID | |
|---|---|---|---|
| 1 | PARPAL: PARalog Protein Redistribution using Abundance and Localization in Yeast Database | Greco BM; Zapata G; Dandage R; Papkov M; Pereira V; Lefebvre F; Bourque G; Parts L; Kuzmin E; | 40580499 BIOLOGY |
| 2 | Imaging flow cytometry-based cellular screening elucidates pathophysiology in individuals with Variants of Uncertain Significance | Muffels IJJ; Waterham HR; D' Alessandro G; Zagnoli-Vieira G; Sacher M; Lefeber DJ; Van der Vinne C; Roifman CM; Gassen KLI; Rehmann H; Van Haaften-Visser DY; Nieuwenhuis ESS; Jackson SP; Fuchs SA; Wijk F; van Hasselt P; | 39920830 BIOLOGY |
| 3 | Automated abdominal aortic calcification and major adverse cardiovascular events in people undergoing osteoporosis screening: the Manitoba Bone Mineral Density Registry | Smith C; Sim M; Ilyas Z; Gilani SZ; Suter D; Reid S; Monchka BA; Jozani MJ; Figtree G; Schousboe JT; Lewis JR; Leslie WD; | 39749990 ENCS |
| 4 | Validation and Reliability of the Dyslexia Adult Checklist in Screening for Dyslexia | Stark Z; Elalouf K; Soldano V; Franzen L; Johnson AP; | 39660384 PSYCHOLOGY |
| 5 | Exploring the Qualitative Experiences of Administering and Participating in Remote Research via Telephone Using the Montreal Cognitive Assessment-Blind: Cross-Sectional Study of Older Adults | Dumassais S; Grewal KS; Aubin G; O' Connell M; Phillips NA; Wittich W; | 39546346 PSYCHOLOGY |
| 6 | 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 |
| 7 | 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 |
| 8 | Depression Screening and Health Outcomes in Children and Adolescents: A Systematic Review | Roseman M; Saadat N; Riehm KE; Kloda LA; Boruff J; Ickowicz A; Baltzer F; Katz LY; Patten SB; Rousseau C; Thombs BD; | 28851234 LIBRARY |
| 9 | Simultaneous automated ascertainment of prevalent vertebral fracture and abdominal aortic calcification in clinical practice: role in fracture risk assessment | Schousboe JT; Lewis JR; Monchka BA; Reid SB; Davidson MJ; Kimelman D; Jozani MJ; Smith C; Sim M; Gilani SZ; Suter D; Leslie WD; | 38699950 ENCS |
| 10 | Screening for parent and child ADHD in urban pediatric primary care: pilot implementation and stakeholder perspectives | Lui JHL; Danko CM; Triece T; Bennett IM; Marschall D; Lorenzo NE; Stein MA; Chronis-Tuscano A; | 37442955 PSYCHOLOGY |
| 11 | A "biphasic glycosyltransferase high-throughput screen" identifies novel anthraquinone glycosides in the diversification of phenolic natural products | Mohideen FI; Kwan DH; | 36682498 CHEMBIOCHEM |
| 12 | Microfluidics for long-term single-cell time-lapse microscopy: Advances and applications | Allard P; Papazotos F; Potvin-Trottier L; | 36312536 BIOLOGY |
| 13 | 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 |
| 14 | Perfluoroalkyl and polyfluoroalkyl substances (PFASs) in groundwater: current understandings and challenges to overcome | Zhao Z; Li J; Zhang X; Wang L; Wang J; Lin T; | 35593984 CHEMBIOCHEM |
| 15 | 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 |
| 16 | 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 |
| 17 | Osseointegration Pharmacology: A Systematic Mapping Using Artificial Intelligence | Mahri M; Shen N; Berrizbeitia F; Rodan R; Daer A; Faigan M; Taqi D; Wu KY; Ahmadi M; Ducret M; Emami E; Tamimi F; | 33181361 CONCORDIA |
| 18 | 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 |
| 19 | Virtual screening, docking, and dynamics of potential new inhibitors of dihydrofolate reductase from Yersinia pestis. | Bastos Lda C, de Souza FR, Guimarães AP, Sirouspour M, Cuya Guizado TR, Forgione P, Ramalho TC, França TC | 26494420 CHEMISTRY |
| 20 | 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 |
| 21 | Evolutionary Adaptation to Generate Mutants. | de Vries RP, Lubbers R, Patyshakuliyeva A, Wiebenga A, Benoit-Gelber I | 29876815 BIOLOGY |
| Title: | Equivalency of the diagnostic accuracy of the PHQ-8 and PHQ-9: a systematic review and individual participant data meta-analysis | ||||
| Authors: | 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 | ||||
| Link: | https://pubmed.ncbi.nlm.nih.gov/31298180/ | ||||
| DOI: | 10.1017/S0033291719001314 | ||||
| Publication: | Psychological medicine | ||||
| Keywords: | Depression; PHQ-8; PHQ-9; diagnostic accuracy; individual participant data meta-analysis; meta-analysis; screening; systematic review; | ||||
| PMID: | 31298180 | Category: | Psychol Med | Date Added: | 2019-08-07 |
| Dept Affiliation: |
LIBRARY
1 Lady Davis Institute for Medical Research, Jewish General Hospital, Montréal, Québec, Canada. 2 Department of Psychiatry, McGill University, Montréal, Québec, Canada. 3 Department of Epidemiology, Biostatistics and Occupational Health, McGill University, Montréal, Québec, Canada. 4 Department of Psychology, McGill University, Montréal, Québec, Canada. 5 Schulich Library of Physical Sciences, Life Sciences, and Engineering, McGill University, Montreal, Quebec, Canada. 6 Department of Clinical, Neuro and Developmental Psychology, Amsterdam Public Health Research Institute, Vrije Universiteit, Amsterdam, the Netherlands. 7 Hull York Medical School and the Department of Health Sciences, University of York, Heslington, York, UK. 8 Department of Medicine, Department of Health Research and Policy, Department of Biomedical Data Science, Department of Statistics, Stanford University, Stanford, California, USA. 9 Library, Concordia University, Montréal, Québec, Canada. 10 Department of Community Health Sciences, University of Calgary, Calgary, Alberta, Canada. 11 Hotchkiss Brain Institute and O'Brien Institute for Public Health, University of Calgary, Calgary, Alberta, Canada. 12 Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA. 13 Department of Psychiatry, Makerere University College of Health Sciences, Kampala, Uganda. 14 Department of General Practice and Primary Health Care, University of Auckland, Auckland, New Zealand. 15 Louis and Gabi Weisfeld School of Social Work, Bar Ilan University, Ramat Gan, Israel. 16 Endocrine Research Center, Institute of Endocrinology and Metabolism, Iran University of Medical Sciences, Tehran, Iran. 17 Ageing Clinical & Experimental Research Team, Institute of Applied Health Sciences, School of Medicine, Medical Sciences and Nutrition, University of Aberdeen, Aberdeen, Scotland, UK. 18 Department of Medicine, McGill University, Montréal, Québec, Canada. 19 Department of Rehabilitation Medicine, University of Washington, Seattle, Washington, USA. 20 Centre for Research on Ageing, Health and Wellbeing, Research School of Population Health, The Australian National University, Canberra, Australia. 21 Melbourne Institute of Applied Economic and Social Research, University of Melbourne, Melbourne, Australia. 22 Centre for Brain and Mental Health Research, University of Newcastle, New South Wales, Australia. 23 Department of Neurosciences and Behavior, Ribeirão Preto Medical School, University of São Paulo, Ribeirão Preto, Brazil. 24 Department of Medicine and Therapeutics, Prince of Wales Hospital, The Chinese University of Hong Kong, Hong Kong Special Administrative Region (SAR), China. 25 Asia Diabetes Foundation, Prince of Wales Hospital, Hong Kong SAR, China. 26 Hong Kong Institute of Diabetes and Obesity, Hong Kong SAR, China. 27 Department of Pediatrics, University of North Carolina at Chapel Hill School of Medicine, Chapel Hill, North Carolina, USA. 28 Department of Psychiatry, University of Rochester Medical Center, New York, USA. 29 Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht, the Netherlands. 30 Department of Psychiatry and Behavioral Sciences, University of Washington, Seattle, Washington, USA. 31 Department of Psychosomatic Medicine, Center fo |
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Description: |
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 positive responses are not associated with suicidality. The PHQ-8, which omits Item 9, is thus increasingly used in research. We assessed equivalency of total score correlations and the diagnostic accuracy to detect major depression of the PHQ-8 and PHQ-9. Methods: We conducted an individual patient data meta-analysis. We fit bivariate random-effects models to assess diagnostic accuracy. Results: 16 742 participants (2097 major depression cases) from 54 studies were included. The correlation between PHQ-8 and PHQ-9 scores was 0.996 (95% confidence interval 0.996 to 0.996). The standard cutoff score of 10 for the PHQ-9 maximized sensitivity + specificity for the PHQ-8 among studies that used a semi-structured diagnostic interview reference standard (N = 27). At cutoff 10, the PHQ-8 was less sensitive by 0.02 (-0.06 to 0.00) and more specific by 0.01 (0.00 to 0.01) among those studies (N = 27), with similar results for studies that used other types of interviews (N = 27). For all 54 primary studies combined, across all cutoffs, the PHQ-8 was less sensitive than the PHQ-9 by 0.00 to 0.05 (0.03 at cutoff 10), and specificity was within 0.01 for all cutoffs (0.00 to 0.01). Conclusions: PHQ-8 and PHQ-9 total scores were similar. Sensitivity may be minimally reduced with the PHQ-8, but specificity is similar. |
