Evidence map›Paper›PMID 34610915›Full record

SynthesisBMJ (Clinical research ed.)2021

Accuracy of the Patient Health Questionnaire-9 for screening to detect major depression: updated systematic review and individual participant data meta-analysis.

Zelalem F Negeri, Brooke Levis, Ying Sun, Chen He, Ankur Krishnan, Yin Wu, Parash Mani Bhandari, Dipika Neupane, Eliana Brehaut, Andrea Benedetti and 2 more

Open access · hybridAbstract readMeta-AnalysisSystematic ReviewValidation Study
In one paragraph

Synthesis in BMJ (Clinical research ed.), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 207 papers, 6 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
207citing papers in PubMed, 6 pooled it
41.7field-weighted citation impact, top 1% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

207 citing papers in PubMed, 6 syntheses or guidelines pooled it, 325 citations in OpenAlex.

  1. Depression and anxiety in empty nose syndrome: A systematic review and Meta-analysis.European archives of oto-rhino-laryngology : official journal of the European Federation of Oto-Rhino-Laryngological Societies (EUFOS) : affiliated with the German Society for Oto-Rhino-Laryngology - Head and Neck Surgery · 2025
    Pooled it
  2. AI in Medical Questionnaires: Scoping ReviewJournal of medical Internet research · 2025
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  17. Exposome factors predict the association between sleep health and depression.medRxiv : the preprint server for health sciences · 2026
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147 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

12 authors at 3 institutions in 2 countries.

Zelalem F NegeriLady Davis Institute for Medical Research, Jewish General Hospital, Montréal, QC, Canada.
Brooke LevisCentre for Prognosis Research, School of Medicine, Keele University, Keele, UK.
Ying SunLady Davis Institute for Medical Research, Jewish General Hospital, Montréal, QC, Canada.
Chen HeLady Davis Institute for Medical Research, Jewish General Hospital, Montréal, QC, Canada.
Ankur KrishnanLady Davis Institute for Medical Research, Jewish General Hospital, Montréal, QC, Canada.
Yin WuLady Davis Institute for Medical Research, Jewish General Hospital, Montréal, QC, Canada.
Parash Mani BhandariLady Davis Institute for Medical Research, Jewish General Hospital, Montréal, QC, Canada.
Dipika NeupaneLady Davis Institute for Medical Research, Jewish General Hospital, Montréal, QC, Canada.
Eliana BrehautLady Davis Institute for Medical Research, Jewish General Hospital, Montréal, QC, Canada.
Andrea BenedettiDepartment of Epidemiology, Biostatistics and Occupational Health, McGill University, Montréal, WC, Canada.ORCID 0000-0002-8314-9497
Brett D ThombsLady Davis Institute for Medical Research, Jewish General Hospital, Montréal, QC, Canada brett.thombs@mcgill.ca.ORCID 0000-0002-5644-8432
Depression Screening Data (DEPRESSD) PHQ Group
Jewish General Hospital · CAKeele University · GBMcGill University Health Centre · CA

Funding

Depression Screening &Treatment in Ovarian CancerK07CA093512 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI SHINN, EILEEN H · 2003 to 2007
$599k
NCI NIH HHS K07 CA093512
6 · The paper itself

Abstract

objectiveTo update a previous individual participant data meta-analysis and determine the accuracy of the Patient Health Questionnaire-9 (PHQ-9), the most commonly used depression screening tool in general practice, for detecting major depression overall and by study or participant subgroups.

designSystematic review and individual participant data meta-analysis. DATA SOURCES: Medline, Medline In-Process, and Other Non-Indexed Citations via Ovid, PsycINFO, Web of Science searched through 9 May 2018. REVIEW

methodsEligible studies administered the PHQ-9 and classified current major depression status using a validated semistructured diagnostic interview (designed for clinician administration), fully structured interview (designed for lay administration), or the Mini International Neuropsychiatric Interview (MINI; a brief interview designed for lay administration). A bivariate random effects meta-analytic model was used to obtain point and interval estimates of pooled PHQ-9 sensitivity and specificity at cut-off values 5-15, separately, among studies that used semistructured diagnostic interviews (eg, Structured Clinical Interview for Diagnostic and Statistical Manual), fully structured interviews (eg, Composite International Diagnostic Interview), and the MINI. Meta-regression was used to investigate whether PHQ-9 accuracy correlated with reference standard categories and participant characteristics.

resultsData from 44 503 total participants (27 146 additional from the update) were obtained from 100 of 127 eligible studies (42 additional studies; 79% eligible studies; 86% eligible participants). Among studies with a semistructured interview reference standard, pooled PHQ-9 sensitivity and specificity (95% confidence interval) at the standard cut-off value of ≥10, which maximised combined sensitivity and specificity, were 0.85 (0.79 to 0.89) and 0.85 (0.82 to 0.87), respectively. Specificity was similar across reference standards, but sensitivity in studies with semistructured interviews was 7-24% (median 21%) higher than with fully structured reference standards and 2-14% (median 11%) higher than with the MINI across cut-off values. Across reference standards and cut-off values, specificity was 0-10% (median 3%) higher for men and 0-12 (median 5%) higher for people aged 60 or older.

conclusionsResearchers and clinicians could use results to determine outcomes, such as total number of positive screens and false positive screens, at different PHQ-9 cut-off values for different clinical settings using the knowledge translation tool at www.depressionscreening100.com/phq. STUDY REGISTRATION: PROSPERO CRD42014010673.

Indexed as

AdultAge FactorsFemaleHumansMajor Depressive DisorderMaleMiddle AgedPatient Health QuestionnairePsychiatric Status Rating ScalesReference StandardsROC CurveSex Factors

Identifiers

PMID34610915
PMCPMC8491108
OpenAlexW3202660027

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.