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SYSTEMATIC REVIEW article
Front. Public Health
Sec. Aging and Public Health
Volume 13 - 2025 | doi: 10.3389/fpubh.2025.1505541
This article is part of the Research Topic Innovative Personalized Medicine Strategies for Managing Multi-Morbidity View all 3 articles
Risk Prediction Models for Mortality in Patients with Multimorbidity: A Systematic Review and Meta-analysis
Provisionally accepted
圆圆 陈 1
meifen ji 2 lihong jin 1* Luga Dong 1 minhua chen 1 xuli shang 1
Heyuanyuan Heyuanyuan 1 xiang lan 1- 1 Lishui City People's Hospital, Lishui, China
- 2 Zhejiang University, Hangzhou, Zhejiang Province, China
Numerous risk prediction models for mortality in patients with multimorbidity have been established; however, their quality and clinical applicability remain uncertain. This systematic review aimed to screen and systematically review published studies on existing risk prediction models for mortality in patients with multimorbidity. Overall, we included 18 studies with 21 prediction models. The included studies revealed a degree of discriminatory ability in predicting mortality in patients with multimorbidity; however, they all demonstrated significant risks of bias. Furthermore, because the major focus of our study aligns very well with the aims and scope of your esteemed journal, we believe that this paper will be of great interest to its wide readership. We believe that our study makes a significant contribution to the literature because our findings provide valuable insights for the future development of accurate prediction models for mortality in this patient population. Future re
Keywords: Mortality, Risk prediction model, Systematic review, Meta-analysis, multimorbidity
Received: 03 Oct 2024; Accepted: 06 Mar 2025.
Copyright: © 2025 陈, ji, jin, Dong, chen, shang, Heyuanyuan and lan. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
* Correspondence:
lihong jin, Lishui City People's Hospital, Lishui, China
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