Evidence map›Paper›PMID 25348422›Full record

ArticleSystematic reviews2014

The diagnostic accuracy of the Patient Health Questionnaire-2 (PHQ-2), Patient Health Questionnaire-8 (PHQ-8), and Patient Health Questionnaire-9 (PHQ-9) for detecting major depression: protocol for a systematic review and individual patient data meta-analyses.

Brett D Thombs, Andrea Benedetti, Lorie A Kloda, Brooke Levis, Ioana Nicolau, Pim Cuijpers, Simon Gilbody, John P A Ioannidis, Dean McMillan, Scott B Patten and 3 more

Open access · goldAbstract read
In one paragraph

Article in Systematic reviews, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 50 papers, 8 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
50citing papers in PubMed, 8 pooled it
3.0field-weighted citation impact, top 8% 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

50 citing papers in PubMed, 8 syntheses or guidelines pooled it, 120 citations in OpenAlex.

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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

13 authors at 9 institutions in 4 countries.

Brett D ThombsDepartment of Psychiatry, McGill University, Montreal, Quebec, Canada. brett.thombs@mcgill.ca.
Andrea Benedetti
Lorie A Kloda
Brooke Levis
Ioana Nicolau
Pim Cuijpers
Simon Gilbody
John P A Ioannidis
Dean McMillan
Scott B Patten
Ian Shrier
Russell J Steele
Roy C Ziegelstein
Jewish General Hospital · CAMcGill University · CAEMGO Institute for Health and Care Research · NLHull York Medical School · GBJohns Hopkins Medicine · USMcGill University Health Centre · CAStanford Health Care · USUniversity of Calgary · CAUniversity of York · GB

Funding

Canadian Institutes of Health Research KRS-134297
6 · The paper itself

Abstract

backgroundMajor depressive disorder (MDD) may be present in 10%-20% of patients in medical settings. Routine depression screening is sometimes recommended to improve depression management. However, studies of the diagnostic accuracy of depression screening tools have typically used data-driven, exploratory methods to select optimal cutoffs. Often, these studies report results from a small range of cutoff points around whatever cutoff score is most accurate in that given study. When published data are combined in meta-analyses, estimates of accuracy for different cutoff points may be based on data from different studies, rather than data from all studies for each possible cutoff point. As a result, traditional meta-analyses may generate exaggerated estimates of accuracy. Individual patient data (IPD) meta-analyses can address this problem by synthesizing data from all studies for each cutoff score to obtain diagnostic accuracy estimates. The nine-item Patient Health Questionnaire-9 (PHQ-9) and the shorter PHQ-2 and PHQ-8 are commonly recommended for depression screening. Thus, the primary objectives of our IPD meta-analyses are to determine the diagnostic accuracy of the PHQ-9, PHQ-8, and PHQ-2 to detect MDD among adults across all potentially relevant cutoff scores. Secondary analyses involve assessing accuracy accounting for patient factors that may influence accuracy (age, sex, medical comorbidity). METHODS/

designData sources will include MEDLINE, MEDLINE In-Process & Other Non-Indexed Citations, PsycINFO, and Web of Science. We will include studies that included a Diagnostic and Statistical Manual or International Classification of Diseases diagnosis of MDD based on a validated structured or semi-structured clinical interview administered within 2 weeks of the administration of the PHQ. Two reviewers will independently screen titles and abstracts, perform full article review, and extract study data. Disagreements will be resolved by consensus. Risk of bias will be assessed with the Quality Assessment of Diagnostic Accuracy Studies-2 tool. Bivariate random-effects meta-analysis will be conducted for the full range of plausible cutoff values. DISCUSSION: The proposed IPD meta-analyses will allow us to obtain estimates of the diagnostic accuracy of the PHQ-9, PHQ-8, and PHQ-2. SYSTEMATIC REVIEW REGISTRATION: PROSPERO CRD42014010673.

Indexed as

Research DesignSurveys and QuestionnairesDatasets as TopicHumansMajor Depressive DisorderMeta-Analysis as TopicPredictive Value of TestsSystematic Reviews as Topic

Identifiers

PMID25348422
PMCPMC4218786
OpenAlexW2086536235

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

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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.