Literature DB >> 19263464

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

Moonseong Heo1, Eros Papademetriou, Barnett S Meyers.   

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 (c) 2009 John Wiley & Sons, Ltd.

Entities:  

Mesh:

Substances:

Year:  2009        PMID: 19263464     DOI: 10.1002/gps.2211

Source DB:  PubMed          Journal:  Int J Geriatr Psychiatry        ISSN: 0885-6230            Impact factor:   3.485


  3 in total

1.  SPIRIT 2013 explanation and elaboration: guidance for protocols of clinical trials.

Authors:  An-Wen Chan; Jennifer M Tetzlaff; Peter C Gøtzsche; Douglas G Altman; Howard Mann; Jesse A Berlin; Kay Dickersin; Asbjørn Hróbjartsson; Kenneth F Schulz; Wendy R Parulekar; Karmela Krleza-Jeric; Andreas Laupacis; David Moher
Journal:  BMJ       Date:  2013-01-08

2.  Impact of subject attrition on sample size determinations for longitudinal cluster randomized clinical trials.

Authors:  Moonseong Heo
Journal:  J Biopharm Stat       Date:  2014       Impact factor: 1.051

3.  Impact of length or relevance of questionnaires on attrition in online trials: randomized controlled trial.

Authors:  Jim McCambridge; Eleftheria Kalaitzaki; Ian R White; Zarnie Khadjesari; Elizabeth Murray; Stuart Linke; Simon G Thompson; Christine Godfrey; Paul Wallace
Journal:  J Med Internet Res       Date:  2011-11-18       Impact factor: 5.428

  3 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.