Evidence map›Paper›PMID 42394144›Full record

ArticleGeriatrics & gerontology international2026

Association of Frailty and Its Trajectories With the Risk of Cardiovascular-Kidney-Metabolic Syndrome Progression: A Longitudinal Cohort Study.

Haoyu Yang, Zhongli Wang, Wuyong Yi, Ling Men, Riming He, Shudong Yang

Abstract read
In one paragraph

Article in Geriatrics & gerontology international, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

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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

4 citing papers in PubMed.

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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

6 authors.

Haoyu YangDepartment of Nephrology, Shenzhen Traditional Chinese Medicine Hospital, the Fourth Clinical Medical College of Guangzhou University of Chinese Medicine, Shenzhen, China.ORCID https://orcid.org/0009-0003-8266-1880
Zhongli WangMedical College of Acu-Moxi and Rehabilitation, Guangzhou University of Chinese Medicine, Guangzhou, China.
Wuyong YiDepartment of Nephrology, Shenzhen Traditional Chinese Medicine Hospital, the Fourth Clinical Medical College of Guangzhou University of Chinese Medicine, Shenzhen, China.
Ling MenDepartment of Nephrology, Shenzhen Traditional Chinese Medicine Hospital, the Fourth Clinical Medical College of Guangzhou University of Chinese Medicine, Shenzhen, China.
Riming HeDepartment of Nephrology, Shenzhen Traditional Chinese Medicine Hospital, the Fourth Clinical Medical College of Guangzhou University of Chinese Medicine, Shenzhen, China.ORCID https://orcid.org/0000-0002-5764-5534
Shudong YangDepartment of Nephrology, Shenzhen Traditional Chinese Medicine Hospital, the Fourth Clinical Medical College of Guangzhou University of Chinese Medicine, Shenzhen, China.ORCID https://orcid.org/0000-0003-1302-0978

Funding

Guangdong Yiyang Healthcare Charity Foundation JZ2025138Opening Project of State Key Laboratory of Dampness Syndrome of Chinese Medicine SZGZZ20240021Sanming Project of Medicine in Shenzhen SZZYSM202311004Shenzhen Clinical Research Center for Traditional Chinese Medicine SZCRC202512Shenzhen Science and Technology Program JCYJ20240813152342056Shenzhen Science and Technology Program JCYJ20240813152411014Shenzhen Society of Traditional Chinese Medicine 2024068F
6 · The paper itself

Abstract

aimsFrailty reflects a decline in physiological reserve and has been widely recognized as an important risk factor for cardiovascular disease (CVD). However, the relationships between frailty and the progression of the cardiovascular-kidney-metabolic (CKM) syndrome, as well as between dynamic frailty trajectories and CVD risk, have not been systematically investigated.

methodsA total of 5624 participants from the China Health and Retirement Longitudinal Study (CHARLS) were included. The association between baseline frailty and CVD risk was analyzed using the Cox proportional hazards model and the restricted cubic spline analyses. We used Group-based trajectory modeling (GBTM) to identify trajectories of frailty development during the follow-up periods from 2011 to 2018.

resultsHigher baseline frailty index (FI) was significantly associated with CVD risk in individuals with CKM syndrome stages 0-3; each 0.1 increase in FI was associated with a 33% higher risk of CVD after full adjustment (HR 1.33, 95% CI 1.26-1.40). Cumulative frailty burden, assessed using the cumulative FI (cumFI), showed a strong graded association with CVD risk. Three distinct frailty trajectories were identified. Compared with the low-level increasing trajectory, moderate-level and high-level increasing trajectories were associated with higher CVD risk (HR = 4.63, 95% CI: 3.50-6.14, HR = 9.33, 95% CI: 6.89-12.64). These associations were consistent across multiple sensitivity analyses.

conclusionsFrailty is associated with the risk of CKM syndrome progression. Beyond baseline assessment, cumFI and frailty trajectories provide prognostic information for cardiovascular risk. Dynamic assessment and early intervention targeting frailty may offer a strategy for preventing CVD.

Indexed as

Cardio-Renal SyndromeCardiovascular DiseasesFrailtyMetabolic SyndromeAgedChinaDisease ProgressionFemaleHumansLongitudinal StudiesMaleMiddle AgedRisk Factorscardiovascular diseasecardiovascular‐kidney‐metabolic syndromeepidemiologyfrailtytrajectory

Identifiers

PMID42394144
PMCPMC13329086

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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.