Characteristics and Quality of Diagnostic and Risk Prediction Models for Frailty in Older Adults: A Systematic Review. (September 2022)

• Record Type: Journal Article
• Authors: Gao, Yinyan; Chen, Yancong; Hu, Mingyue; Gan, Ting; Sun, Xuemei; Zhang, Zixuan; He, Wenbo; Wu, Irene X. Y.
• Is Part Of: Journal of applied gerontology. Volume 41:Number 9(2022)
• Page Start: 2113
• Page End: 2126
• Publication Date: 2022-09
• Subjects: prediction models -- frailty -- older adults -- systematic review; Gerontology -- Periodicals; 362.6
• DOI: 10.1177/07334648221097084
• Languages: English
• ISSNs: 0733-4648

Abstract

Several prediction models for frailty in older adults have been published, but their characteristics and methodological quality are unclear. This review aims to summarize and critically appraise the prediction models. Studies describing multivariable prediction models for frailty among older adults were included. PubMed, Embase, Web of Science, and PsycINFO were searched from outset to Feb 21, 2021. Methodological and reporting quality of included models were evaluated by PROBAST and TRIPOD, respectively. All results were descriptively summarized. Twenty articles including 39 models were identified. The included models showed good predictive discrimination with C indices ranging from 0.70 to 0.98. However, all studies except one were assessed as high risk of bias mainly due to inappropriate analysis; meanwhile, poor reporting quality was also frequently observed. Few mature prediction models can be used in practice. Researchers should pay more attention to external validation and improving the quality both in methodology and reporting.