Evidence map›Paper›PMID 39075146›Full record

SynthesisScientific reports2024

Depression prevalence of the Geriatric Depression Scale-15 was compared to Structured Clinical Interview for DSM using individual participant data meta-analysis.

Marc Parsons, Lu Qiu, Brooke Levis, Suiqiong Fan, Ying Sun, Lara S N Amiri, Daphna Harel, Sarah Markham, Simone N Vigod, Roy C Ziegelstein and 8 more

Abstract readMeta-AnalysisComparative Study
In one paragraph

Synthesis in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 2 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

15 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Observational
  13. Article
  14. Article
  15. Article
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

18 authors.

Marc ParsonsDepartment of Epidemiology, Biostatistics and Occupational Health, McGill University, Montreal, QC, Canada.
Lu QiuLady Davis Institute for Medical Research, Jewish General Hospital, 3755 Cote Ste-Catherine, Pavilion H4.83, Montreal, QC, H3T 1E2, Canada.
Brooke LevisLady Davis Institute for Medical Research, Jewish General Hospital, 3755 Cote Ste-Catherine, Pavilion H4.83, Montreal, QC, H3T 1E2, Canada.
Suiqiong FanLady Davis Institute for Medical Research, Jewish General Hospital, 3755 Cote Ste-Catherine, Pavilion H4.83, Montreal, QC, H3T 1E2, Canada.
Ying SunLady Davis Institute for Medical Research, Jewish General Hospital, 3755 Cote Ste-Catherine, Pavilion H4.83, Montreal, QC, H3T 1E2, Canada.
Lara S N AmiriLady Davis Institute for Medical Research, Jewish General Hospital, 3755 Cote Ste-Catherine, Pavilion H4.83, Montreal, QC, H3T 1E2, Canada.
Daphna HarelDepartment of Applied Statistics, Social Science, and Humanities, New York University, New York, NY, USA.
Sarah MarkhamDepartment of Biostatistics and Health Informatics, King's College London, London, UK.
Simone N VigodWomen's College Hospital and Research Institute, University of Toronto, Toronto, ON, Canada.
Roy C ZiegelsteinDepartment of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
Yin WuLady Davis Institute for Medical Research, Jewish General Hospital, 3755 Cote Ste-Catherine, Pavilion H4.83, Montreal, QC, H3T 1E2, Canada.
Jill T BoruffSchulich Library of Physical Sciences, Life Sciences, and Engineering, McGill University, Montreal, QC, Canada.
Pim CuijpersDepartment of Clinical, Neuro and Developmental Psychology, Amsterdam Public Health Research Institute, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands.
Simon GilbodyHull York Medical School and the Department of Health Sciences, University of York, Heslington, York, UK.
Scott B PattenDepartments of Community Health Sciences and Psychiatry, University of Calgary, Calgary, AB, Canada.
Andrea BenedettiDepartment of Epidemiology, Biostatistics and Occupational Health, McGill University, Montreal, QC, Canada.
Brett D ThombsDepartment of Epidemiology, Biostatistics and Occupational Health, McGill University, Montreal, QC, Canada. brett.thombs@mcgill.ca.ORCID 0000-0002-5644-8432
DEPRESsion Screening Data (DEPRESSD) GDS Group

Funding

X-RAY CRYSTALLOGRAPHYP30CA008748 · NCI · SLOAN-KETTERING INSTITUTE FOR CANCER RES · PI Hongbiao Carl Lekaye · 1985 to 2026
$347.4M
CIHR PJT-156365NCI NIH HHS P30 CA008748
6 · The paper itself

Abstract

Depression questionnaire cutoffs are calibrated for screening accuracy and not to assess prevalence, but the Geriatric Depression Scale (GDS-15) is often used to estimate diagnostic prevalence among older adults, most commonly with scores of ≥ 5. We conducted an individual participant data meta-analysis to compare depression prevalence based on GDS-15 ≥ 5 to Structured Clinical Interview for Diagnostic and Statistical Manual (SCID) diagnoses and assessed whether an alternative cutoff could be more accurate. We used generalized linear mixed models to estimate prevalence. Data from 14 studies (3602 participants, 434 SCID major depression) were included. Pooled GDS-15 ≥ 5 prevalence was 34.2% (95% confidence interval [CI] 27.5-41.6%), and pooled SCID prevalence was 14.8% (95% CI 10.0-21.5%; difference of 17.6%, 95% CI 11.6-23.6%). GDS-15 ≥ 8 provided the closest estimate to SCID with mean difference of - 0.3% (95% prediction interval - 17.0-16.5%). Prevalence estimate differences were not associated with study or participant characteristics. In sum, GDS-15 ≥ 5 substantially overestimated depression prevalence. A cutoff of ≥ 8 was accurate overall, but heterogeneity was too high for implementation in practice. Validated diagnostic interviews should be used to estimate major depression prevalence among older adults.

Indexed as

DepressionDiagnostic and Statistical Manual of Mental DisordersPsychiatric Status Rating ScalesAgedAged, 80 and overFemaleGeriatric AssessmentHumansMajor Depressive DisorderMalePrevalence

Identifiers

PMID39075146
PMCPMC11286862

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.