Individual Patient Data Meta-Analysis Estimates the Minimal Detectable Change of the Geriatric Depression Scale-15.

Autor: González-Domínguez NP; Department of Epidemiology, Biostatistics, and Occupational Health, McGill University, Montréal, Québec, Canada; Lady Davis Institute for Medical Research, Jewish General Hospital, Montréal, Québec, Canada., Wu Y; Lady Davis Institute for Medical Research, Jewish General Hospital, Montréal, Québec, Canada., Fan S; Lady Davis Institute for Medical Research, Jewish General Hospital, Montréal, Québec, Canada., Levis B; Lady Davis Institute for Medical Research, Jewish General Hospital, Montréal, Québec, Canada., Sun Y; Lady Davis Institute for Medical Research, Jewish General Hospital, Montréal, Québec, Canada., Gilbody S; Hull York Medical School and the Department of Health Sciences, University of York, Heslington, York, UK., Ioannidis JPA; Department of Medicine, Department of Epidemiology and Population Health, Department of Biomedical Data Science, Department of Statistics, Stanford University, Stanford, California, USA., Harel D; Department of Applied Statistics, Social Science, and Humanities, New York University, New York, NY, USA., Vigod SN; Women's College Hospital and Research Institute, University of Toronto, Toronto, Ontario, Canada., Markham S; Department of Biostatistics and Health Informatics, King's College London, London, UK., Ziegelstein RC; Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA., Cuijpers P; Department of Clinical, Neuro and Developmental Psychology, Amsterdam Public Health Research Institute, Vrije Universiteit, Amsterdam, the Netherlands., Patten SB; Department of Community Health Sciences, University of Calgary, Calgary, Alberta, Canada., Boruff JT; Schulich Library of Physical Sciences, Life Sciences, and Engineering, McGill University, Montréal, Québec, Canada., Thombs BD; Department of Epidemiology, Biostatistics, and Occupational Health, McGill University, Montréal, Québec, Canada; Lady Davis Institute for Medical Research, Jewish General Hospital, Montréal, Québec, Canada; Department of Psychiatry, McGill University, Montréal, Québec, Canada; Department of Medicine, McGill University, Montréal, Québec, Canada; Department of Psychology, McGill University, Montréal, Québec, Canada; Biomedical Ethics Unit, McGill University, Montréal, Québec, Canada. Electronic address: brett.thombs@mcgill.ca., Benedetti A; Department of Epidemiology, Biostatistics, and Occupational Health, McGill University, Montréal, Québec, Canada; Department of Medicine, McGill University, Montréal, Québec, Canada; Respiratory Epidemiology and Clinical Research Unit, McGill University Health Centre, Montréal, Québec, Canada. Electronic address: andrea.benedetti@mcgill.ca.
Jazyk: angličtina
Zdroj: Journal of clinical epidemiology [J Clin Epidemiol] 2024 Jun 26, pp. 111443. Date of Electronic Publication: 2024 Jun 26.
DOI: 10.1016/j.jclinepi.2024.111443
Abstrakt: Objective: To use individual participant data meta-analysis (IPDMA) to estimate the minimal detectable change (MDC) of the Geriatric Depression Scale-15 (GDS-15) and to examine whether MDC may differ based on participant characteristics and study-level variables.
Study Design and Setting: This was a secondary analysis of data from an IPDMA on the depression screening accuracy of the GDS. Datasets from studies published in any language were eligible for the present study if they included GDS-15 scores for participants aged 60 or older. MDC of the GDS-15 was estimated via random-effects meta-analysis using 2.77 (MDC95) and 1.41 (MDC67) standard errors of measurement (SEM). Subgroup analyses were used to evaluate differences in MDC by participant age and sex. Meta-regression was conducted to assess for differences based on study-level variables, including mean age, proportion male, proportion with major depression, and recruitment setting.
Results: 5,876 participants (mean age 76 years, 40% male, 11% with major depression) from 21 studies were included. The MDC95 was 3.81 points (95% confidence interval [CI] 3.59, 4.04), and MDC67 was 1.95 (95% CI 1.83, 2.03). The difference in MDC95 was 0.26 points (95% CI 0.04, 0.48) between ≥ 80-year-olds and < 80-year-olds; MDC95 was similar for females and males (0.05, 95% CI -0.12, 0.22). The MDC95 increased by 0.29 points (95% CI 0.17, 0.41) per 10% increase in proportion of participants with major depression; mean age had a small association (0.04 points, 95% CI 0.00 to 0.09) with MDC95, but sex and recruitment setting were not significantly associated.
Conclusions: The MDC95 was 3.81 points and MDC67 was 1.95 points. MDC95 increased with the proportion of participants with major depression. Results can be used to evaluate individual changes in depression symptoms and as a threshold for assessing minimal clinical important difference estimates.
(Copyright © 2024. Published by Elsevier Inc.)
Databáze: MEDLINE
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