Evidence map›Paper›PMID 21852353›Full record

SynthesisBMJ (Clinical research ed.)2011

Risk of bias from inclusion of patients who already have diagnosis of or are undergoing treatment for depression in diagnostic accuracy studies of screening tools for depression: systematic review.

Brett D Thombs, Erin Arthurs, Ghassan El-Baalbaki, Anna Meijer, Roy C Ziegelstein, Russell J Steele

Abstract readSystematic Review
In one paragraph

Synthesis in BMJ (Clinical research ed.), 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 52 papers, 18 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
52citing papers in PubMed, 18 pooled it
–field-weighted citation impact
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

52 citing papers in PubMed, 18 syntheses or guidelines pooled it.

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  16. Recommendations on screening for depression in adults.CMAJ : Canadian Medical Association journal = journal de l'Association medicale canadienne · 2013
    Guideline
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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

6 authors.

Brett D ThombsLady Davis Institute for Medical Research, Jewish General Hospital, McGill University, Montreal, Quebec, Canada. brett.thombs@mcgill.ca
Erin Arthurs
Ghassan El-Baalbaki
Anna Meijer
Roy C Ziegelstein
Russell J Steele

Funding

Center for Mind-Body ResearchR24AT004641 · NCCIH · JOHNS HOPKINS UNIVERSITY · PI HAYTHORNTHWAITE, JENNIFER A · 2007 to 2009
$2.9M
Canadian Institutes of Health ResearchNCCIH NIH HHS R24AT004641
6 · The paper itself

Abstract

objectivesTo investigate the proportion of original studies included in systematic reviews and meta-analyses on the diagnostic accuracy of screening tools for depression that appropriately exclude patients who already have a diagnosis of or are receiving treatment for depression and to determine whether these systematic reviews and meta-analyses evaluate possible bias from the inclusion of such patients.

designSystematic review. DATA SOURCES: Medline, PsycINFO, CINAHL, Embase, ISI, SCOPUS, and Cochrane databases were searched from 1 January 2005 to 29 October 2009. ELIGIBILITY CRITERIA FOR SELECTING STUDIES: Systematic reviews and meta-analyses in any language that reported on the diagnostic accuracy of screening tools for depression.

resultsOnly eight of 197 (4%) unique publications from 17 systematic reviews and meta-analyses specifically excluded patients who already had a diagnosis of or were receiving treatment for depression. No systematic reviews or meta-analyses commented on possible bias from the inclusion of such patients, even though 10 reviews used quality assessment tools with items to rate risk of bias from composition of the sample of patients.

conclusionsStudies of the accuracy of screening tools for depression rarely exclude patients who already have a diagnosis of or are receiving treatment for depression, a potential bias that is not evaluated in systematic reviews and meta-analyses. This could result in inflated estimates of accuracy on which clinical practice and preventive care guidelines are often based, a problem that takes on greater importance as the rate of diagnosed and treated depression in the population increases.

Indexed as

BiasDepressive DisorderMeta-Analysis as TopicReview Literature as TopicHumansMass Screening

Identifiers

PMID21852353
PMCPMC3191850

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.