Evidence map›Paper›PMID 37719088›Full record

ArticleJRSM open2023

Global Burden of Disease 2017 estimates for Major Depressive Disorder: a critical appraisal of the epidemiological evidence.

R Lyus, C Buamah, A M Pollock, L Cosgrove, P Brhlikova

Abstract read
In one paragraph

Article in JRSM open, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 1 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

9 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  3. Review
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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

5 authors.

R LyusPopulation Health Sciences Institute, Newcastle University, UK.ORCID https://orcid.org/0000-0002-3093-3704
C BuamahPopulation Health Sciences Institute, Newcastle University, UK.
A M PollockPopulation Health Sciences Institute, Newcastle University, UK.ORCID https://orcid.org/0000-0002-7388-3110
L CosgroveUniversity of Massachusetts, USA.
P BrhlikovaPopulation Health Sciences Institute, Newcastle University, UK.ORCID https://orcid.org/0000-0003-2085-0304

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objectives: To critically appraise the quality of the studies underpinning the Global Burden of Disease (GBD) 2017 estimates for Major Depressive Disorder (MDD) with respect to i) the GBD 2017 inclusion criteria and ii) population coverage. Design: Systematic critical appraisal. Setting: Not applicable. Participants: Not applicable. Main outcome measures: Each study was critically appraised with respect to the four GBD 2017 inclusion criteria: representativeness, study method and sample, diagnostic criteria and publication from 1980 onwards. Population coverage was calculated. Results: Less than half of studies (221/467, 47.3%) were nationally representative. Only 262/467 (56.1%) of studies reported specifically on MDD and more than a third did not use DSM or ICD diagnostic criteria: 94/467 (20.1%) did not specify any diagnostic criteria and 68/467 (14.6%) relied on self-reported depression for diagnosis. Only 62/467 (13.3%) of studies were conducted during the period 2011-2017. Only 107/195 (54.9%) of countries had one or more prevalence studies. Conclusions: GBD 2017 estimates for MDD are based on incomplete country and population coverage. The inclusion of studies with non-representative populations, that do not use diagnostic criteria and the lack of specific data on MDD reduces the reliability of estimates and limits their value for policy making.

Indexed as

CLINICALEpidemiologic studiesEpidemiologyMood disorders (including depression)NON-CLINICALPsychiatry

Identifiers

PMID37719088
PMCPMC10501079

What OpenQuestion holds

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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.