Evidence map›Paper›PMID 32814337›Full record

ArticlePsychotherapy and psychosomatics2021

Probability of Major Depression Classification Based on the SCID, CIDI, and MINI Diagnostic Interviews: A Synthesis of Three Individual Participant Data Meta-Analyses.

Yin Wu, Brooke Levis, John P A Ioannidis, Andrea Benedetti, Brett D Thombs, DEPRESsion Screening Data (DEPRESSD) Collaboration

Abstract read
In one paragraph

Article in Psychotherapy and psychosomatics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 7 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed, 7 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

19 citing papers in PubMed, 7 syntheses or guidelines pooled it.

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  15. Mental Health of Royal Canadian Mounted Police at the Start of the Cadet Training Program.Canadian journal of psychiatry. Revue canadienne de psychiatrie · 2023
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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.

Yin WuLady Davis Institute for Medical Research, Jewish General Hospital, Montreal, Québec, Canada.
Brooke LevisLady Davis Institute for Medical Research, Jewish General Hospital, Montreal, Québec, Canada.
John P A IoannidisDepartments of Medicine, Health Research and Policy, Biomedical Data Science, and Statistics, Stanford University, Stanford, California, USA.
Andrea BenedettiDepartment of Epidemiology, Biostatistics, and Occupational Health, McGill University, Montreal, Québec, Canada.
Brett D ThombsLady Davis Institute for Medical Research, Jewish General Hospital, Montreal, Québec, Canada, brett.thombs@mcgill.ca.
DEPRESsion Screening Data (DEPRESSD) Collaboration

Funding

Tumor Evolution and Metastasis ProgramP30CA016672 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI Fabien Delerue · 1985 to 2026
$290.8M
Depression Screening &Treatment in Ovarian CancerK07CA093512 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI SHINN, EILEEN H · 2003 to 2007
$599k
AHRQ HHS R36 HS018246NCI NIH HHS K07 CA093512
6 · The paper itself

Abstract

introductionThree previous individual participant data meta-analyses (IPDMAs) reported that, compared to the Structured Clinical Interview for the DSM (SCID), alternative reference standards, primarily the Composite International Diagnostic Interview (CIDI) and the Mini International Neuropsychiatric Interview (MINI), tended to misclassify major depression status, when controlling for depression symptom severity. However, there was an important lack of precision in the results.

objectiveTo compare the odds of the major depression classification based on the SCID, CIDI, and MINI.

methodsWe included and standardized data from 3 IPDMA databases. For each IPDMA, separately, we fitted binomial generalized linear mixed models to compare the adjusted odds ratios (aORs) of major depression classification, controlling for symptom severity and characteristics of participants, and the interaction between interview and symptom severity. Next, we synthesized results using a DerSimonian-Laird random-effects meta-analysis.

resultsIn total, 69,405 participants (7,574 [11%] with major depression) from 212 studies were included. Controlling for symptom severity and participant characteristics, the MINI (74 studies; 25,749 participants) classified major depression more often than the SCID (108 studies; 21,953 participants; aOR 1.46; 95% confidence interval [CI] 1.11-1.92]). Classification odds for the CIDI (30 studies; 21,703 participants) and the SCID did not differ overall (aOR 1.19; 95% CI 0.79-1.75); however, as screening scores increased, the aOR increased less for the CIDI than the SCID (interaction aOR 0.64; 95% CI 0.52-0.80).

conclusionsCompared to the SCID, the MINI classified major depression more often. The odds of the depression classification with the CIDI increased less as symptom levels increased. Interpretation of research that uses diagnostic interviews to classify depression should consider the interview characteristics.

Indexed as

Major Depressive DisorderDepressionHumansMass ScreeningMeta-Analysis as TopicProbabilityPsychiatric Status Rating ScalesClassificationDepressive disordersDiagnostic interviewsIndividual participant data meta-analysisMajor depression

Identifiers

PMID32814337
PMCPMC8993569

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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.