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Prediction models for depression risk among older adults: systematic review and critical appraisal.

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Date
2022-11
Authors
Tan, Jie
Ma, Chenxinan
Zhu, Chonglin
Wang, Yin
Zou, Xiaoshuang
Li, Han
Li, Jiarun
He, Yanxuan
Wu, Chenkai
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Abstract
<h4>Objective</h4>To provide an overview of prediction models for the risk of major depressive disorder (MDD) among older adults.<h4>Methods</h4>We conducted a systematic review combined with a meta-analysis and critical appraisal of published studies on existing geriatric depression risk models.<h4>Results</h4>The systematic search screened 23,378 titles and abstracts; 14 studies including 20 prediction models were included. A total of 16 predictors were selected in the final model at least twice. Age, physical health, and cognitive function were the most common predictors. Only one model was externally validated, two models were presented with a complete equation, and five models examined the calibration. We found substantial heterogeneity in predictor and outcome definitions across models; important methodological information was often missing. All models were rated at high or unclear risk of bias, primarily due to methodological limitations. The pooled C-statistics of 12 prediction models was 0.83 (95%CI=0.77-0.89).<h4>Conclusion</h4>The usefulness of all models remains unclear due to several methodological limitations. Future studies should focus on methodological quality and external validation of depression risk prediction models.
Type
Journal article
Subject
Risk prediction model
major depression disorder
older adults
systematic review
Permalink
https://hdl.handle.net/10161/26244
Published Version (Please cite this version)
10.1016/j.arr.2022.101803
Publication Info
Tan, Jie; Ma, Chenxinan; Zhu, Chonglin; Wang, Yin; Zou, Xiaoshuang; Li, Han; ... Wu, Chenkai (2022). Prediction models for depression risk among older adults: systematic review and critical appraisal. Ageing research reviews. pp. 101803. 10.1016/j.arr.2022.101803. Retrieved from https://hdl.handle.net/10161/26244.
This is constructed from limited available data and may be imprecise. To cite this article, please review & use the official citation provided by the journal.
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Scholars@Duke

Ma

Chenxinan Ma

Student
Wu

Chenkai Wu

Assistant Professor of Global Health at Duke Kunshan University
Dr. Wu is an Assistant Professor in the Global Health Research Center at Duke Kunshan University and was a faculty in the Department of Epidemiology at New York Medical College. His current research focuses on (i) measurement, epidemiology, and clinical implications of frailty, (ii) prevention of cardiovascular morbidity and mortality, and (iii) quantification and risk factors for healthy aging. Dr. Wu has published over 10 peer-reviewed papers in the fields of epidemiology, gerontolog
Alphabetical list of authors with Scholars@Duke profiles.
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