Development and Validation of Mortality Prediction Models among Frail Participants in the UK Biobank Study

Survey-based models predicted mortality in frail individuals effectively, with only minor improvements from adding biomarkers or physical measurements. These findings highlighted the value of surveys in forecasting outcomes and informed personalized management strategies to improve health for the frail.

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Publication Details

Journal
The Journals of Gerontology Series A
Published
2025-05-02
DOI
https://doi.org/10.1093/gerona/glaf096
Primary Topic
Frailty in Older Adults
Type
article
Field-Weighted Citation Impact
0.00
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article

Development and Validation of Mortality Prediction Models among Frail Participants in the UK Biobank Study

Qian‐Li Xue, Chenkai Wu, Junhan Tang, Jonathan K. L. Mak et al.
The Journals of Gerontology Series A
Frailty in Older Adults
article

Development and Validation of Mortality Prediction Models among Frail Participants in the UK Biobank Study

Qian‐Li Xue, Chenkai Wu, Junhan Tang, Jonathan K. L. Mak, Yanxin Wang, Jianhong Xu
article en

Abstract

Survey-based models predicted mortality in frail individuals effectively, with only minor improvements from adding biomarkers or physical measurements. These findings highlighted the value of surveys in forecasting outcomes and informed personalized management strategies to improve health for the frail.

The Journals of Gerontology Series AVol. 80(7)
Johns Hopkins University (US), Chinese University of Hong Kong (HK), Johns Hopkins Medicine (US), Karolinska Institutet (SE), Duke Kunshan University (CN), University of Hong Kong (HK)
Openalex Percentile: Top 89%
Frailty in Older Adults
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Development and Validation of Mortality Prediction Models among Frail Participants in the UK Biobank Study — Qian‐Li Xue, Chenkai Wu, et al. · The Journals of Gerontology Series A (2025) | TGRS Research Map | TGRS