Evidence map›Paper›PMID 41400910›Full record

ArticleJournal of cachexia, sarcopenia and muscle2025

Changes in Frailty and Incident Cancer: Evidence From the Health and Retirement Study.

Zhaoting Bu, Xinying Chen, Xiaoyue Liu, Bing Yin, Sanyu Ge, Xin Zheng, Changhong Xu, Hong Zhao, Yi Li, Xiangrui Li and 1 more

Abstract read
In one paragraph

Article in Journal of cachexia, sarcopenia and muscle, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors.

Zhaoting BuDepartment of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, China.
Xinying ChenDepartment of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, China.
Xiaoyue LiuDepartment of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, China.
Bing YinDepartment of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, China.
Sanyu GeDepartment of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, China.
Xin ZhengDepartment of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, China.
Changhong XuDepartment of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, China.
Hong ZhaoDepartment of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, China.
Yi LiDepartment of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, China.
Xiangrui LiDepartment of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, China.
Hanping ShiDepartment of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, China.ORCID 0000-0003-4514-8693

Funding

Laboratory for Clinical Medicine, Capital Medical University 2023-SYJCLC02National Key Research and Development Program 2022YFC2009600National Key Research and Development Program 2022YFC2009601National Multidisciplinary Cooperative Diagnosis and Treatment Capacity Project for Major Diseases: Comprehensive Treatment and Management of Critically Ill Elderly Inpatients 2019. YLFW
6 · The paper itself

Abstract

backgroundAlthough frailty has been identified as a potential risk factor for cancer, most previous studies have only considered frailty status at a single time point. The relationship between dynamic changes in frailty and incident cancer is less well understood. This study aimed to evaluate the associations of both baseline frailty status and changes in frailty status with subsequent cancer risk.

methodsData were derived from the Health and Retirement Study (HRS), a nationally representative prospective cohort in the United States. Frailty was assessed using a 29-item Rockwood frailty index and categorized as robust, pre-frail or frail. Changes in frailty status were determined over a 2-year period. Incident cancer was identified through self-reported physician diagnoses. Cox proportional hazards models were used to estimate hazard ratios (HRs) and 95% confidence intervals (CIs), adjusting for demographic, lifestyle and health-related covariates.

resultsA total of 11 661 participants (63.1% female; mean age: 67.1 years) were included in the baseline frailty analysis, and 10 178 participants (63.8% female; mean age: 66.3 years) were included in the frailty change analysis. During a median follow-up of 7.2 years, baseline frailty was associated with a significantly increased risk of incident cancer (frail vs. robust: HR 1.61, 95% CI 1.27-2.02; pre-frail vs. robust: HR 1.46, 95% CI 1.17-1.83). Over the 2-year transition period, participants who progressed from robust to pre-frail/frail status had a higher cancer risk compared to those who remained robust (HR 2.50, 95% CI 1.74-3.61). Conversely, frail individuals who improved to pre-frail or robust status had a reduced cancer risk relative to those who remained frail (HR 0.66, 95% CI 0.48-0.90). Similar risk reduction was observed among pre-frail individuals who recovered to robust status (HR 0.51, 95% CI 0.34-0.76). Additionally, greater increases in frailty index over timeremained associated with elevated cancer risk after multivariable adjustment (highest vs. lowest quartile of ΔFI: HR 1.35, 95% CI 1.13-1.63; p for trend < 0.001).

conclusionsBoth baseline frailty and changes in frailty status are independently associated with cancer risk. Frailty progression significantly increases the risk of incident cancer, whereas recovery from frailty is associated with reduced risk. These findings underscore the importance of dynamic frailty monitoring and suggest that interventions targeting frailty warrant investigation for potential cancer risk reduction.

Indexed as

FrailtyNeoplasmsAgedFemaleHumansIncidenceMaleMiddle AgedProportional Hazards ModelsProspective StudiesRetirementRisk FactorsUnited Statescancerdynamic natureepidemiologyfrailtythe Health and Retirement Study

Identifiers

PMID41400910
PMCPMC12707304

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.