Cited by 18Statistical Methods in Clinical TrialsMeta-analysis and systematic reviewsTreatment of Major Depression

Design characteristics that influence attrition in geriatric antidepressant trials: meta‐analysis

Heo, Moonseong, Papademetriou, Eros, Meyers, Barnett S.·2009·International Journal of Geriatric Psychiatry

Abstract

Objective: To identify study‐level and treatment group‐level characteristics that are associated with attrition in antidepressant trials for the depressed elderly. Methods: This meta‐analysis used 68 published antidepressant randomized trials for the elderly depressed. Study‐level and treatment group‐level variables were extracted. The former consisted of: use of placebo arm, number of arms, unbalanced treatment allocation, year conducted, study duration, study location, number of centers, and patient pool. The latter consisted of: assigned treatments, baseline mean Hamilton Depression Rating Scale (HDRS), baseline mean age, gender ratio, attrition size, and sample size. Univariate logistic regressions with attrition as the dependent variable were applied, followed by application of a forward stepwise selection method for identification of independent attrition correlates. Results: The 68 studies had a total of 153 treatment groups and 8,385 subjects. Among them, 2,287 subjects were terminated early, resulting in an overall 27.3% attrition rate. The stepwise results showed that higher attrition was significantly associated with active antidepressant groups as opposed to placebo groups, higher baseline HDRS, smaller sample size, unbalanced allocation of treatments, longer duration, and studies conducted in USA. Conclusions: The attrition in geriatric antidepressant trials can be affected by study and group‐level design characteristics that include severity of depression symptoms and active treatments among others. Copyright © 2009 John Wiley & Sons, Ltd.

Integrity signals

Registry

Crossref · 10.1002/gps.2211

Cites

25 of 25 references verified0 citation errors · 0 not checkable

Statistics

Recomputing p-values needs the paper’s full text.

Claims the paper makes

This paper’s full text isn’t openly available, so its claims and self-check weren’t run. The registry and citation checks still apply.

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

Cites

Flagged first, then by citations

Cited by

Sorted by citations

Authors
Heo, M., Papademetriou, E., & Meyers, B. S.
Affiliations
  • Albert Einstein College of Medicine (US)
  • Cornell University (US)
Corresponding author
Heo, Moonseong
Venue
International Journal of Geriatric Psychiatry
Publisher
Wiley
Published
2009-03-04
Volume
24
Issue
9
Pages
990-1001
ISSN
  • 0885-6230 (ISSN-L)
  • 1099-1166
OpenAlex
W2048929476
Cited by
18
References
25
Citations by year
2025: 2 · 2017: 1 · 2016: 1 · 2015: 3 · 2014: 2 · 2013: 3 · 2012: 2
FWCI
1.66
Type
journal article
Language
en
Open access
closed
Locations
  • International Journal of Geriatric Psychiatry (publishedVersion)
  • PubMed (publishedVersion)
Funders
National Institute of Mental Health (P30MH068638, U01MH062518, U01MH62518)
Topics
  • Physical Sciences › Mathematics › Statistics and Probability › Statistical Methods in Clinical Trials
  • Social Sciences › Decision Sciences › Statistics, Probability and Uncertainty › Meta-analysis and systematic reviews
  • Health Sciences › Medicine › Pharmacology › Treatment of Major Depression
Keywords
attrition, antidepressant trials, geriatric depression, trial design characteristics, sample size, baseline depression severity, Hamilton Depression Rating Scale, study duration
MeSH terms
Aged, Aged, 80 and over, Antidepressive Agents, Depressive Disorder, Female, Geriatrics, Humans, Male, Middle Aged, Patient Dropouts, Placebos, Randomized Controlled Trials as Topic

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review