Prediction models for depression risk among older adults: systematic review and critical appraisal.
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
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https://hdl.handle.net/10161/26244Published Version (Please cite this version)
10.1016/j.arr.2022.101803Publication 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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Show full item recordScholars@Duke
Chenxinan Ma
Student
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
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