Evidence map›Paper›PMID 41455977›Full record

ArticleDiabetology & metabolic syndrome2025

Longitudinal changes in frailty, insulin resistance and incident cardiovascular-kidney- metabolic syndrome progression in middle-aged and older adults: evidence from CHARLS.

Qi Huang, Xian Luo, Tao Yang, XiaoMan Qing, XinMei Zhang, MingZhu Xiu, Zheng Liu, Hao Li, Sha Liu, Wanmeng Xiao and 2 more

Abstract read
In one paragraph

Article in Diabetology & metabolic syndrome, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 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

12 authors.

Qi Huang *Department of Hepatobiliary Surgery, The Affiliated Hospital of Southwest Medical University, Luzhou City, China.
Xian Luo *Department of Hepatobiliary Surgery, The Affiliated Hospital of Southwest Medical University, Luzhou City, China.
Tao Yang *Department of Gastroenterology, The Affiliated Hospital of Southwest Medical University, Luzhou City, China.
XiaoMan QingDepartment of Gastroenterology, The Affiliated Hospital of Southwest Medical University, Luzhou City, China.
XinMei ZhangDepartment of Gastroenterology, The Affiliated Hospital of Southwest Medical University, Luzhou City, China.
MingZhu XiuDepartment of Gastroenterology, The Affiliated Hospital of Southwest Medical University, Luzhou City, China.
Zheng LiuDepartment of Gastroenterology, The Affiliated Hospital of Southwest Medical University, Luzhou City, China.
Hao LiThe Affiliated Hospital of Southwest Medical University, Luzhou City, China. lihao128@swmu.edu.cn.
Sha LiuDepartment of Gastroenterology, The Affiliated Hospital of Southwest Medical University, Luzhou City, China. 1198967756@qq.com.
Wanmeng XiaoThe Affiliated Hospital of Southwest Medical University, Luzhou City, China. 2983835392@qq.com.
Muhan LüThe Affiliated Hospital of Southwest Medical University, Luzhou City, China. yangtao20232023@163.com.
Song SuDepartment of Hepatobiliary Surgery, The Affiliated Hospital of Southwest Medical University, Luzhou City, China. 13882778554@163.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAlthough frailty has been associated with individual components of cardiovascular-kidney-metabolic (CKM) syndrome, the overall relationship between frailty and CKM syndrome, as well as the potential mediating role of insulin resistance (IR), remains inadequately understood.

methodsWe analyzed data from 4,615 adults aged ≥ 45 years who participated in the China Health and Retirement Longitudinal Study (CHARLS) from 2011 to 2025. Frailty status was evaluated using the Frailty Index (FI) and classified into three categories: robust, prefrail, and frail. Changes in frailty over time were measured based on frailty status at baseline and during a follow-up survey conducted four years later. Logistic regression, linear regression, and bootstrap analyses were employed to examine the association between frailty and progression to advanced CKM stages, as well as the mediating role of the estimated glucose disposal rate (eGDR) as a proxy for IR.

resultsIndividuals who remained in or progressed to pre-frail or frail states during the study period exhibited significantly increased risks of developing advanced CKM syndrome. In the fully adjusted model, the highest risk of CKM syndrome was observed among individuals who remained consistently pre-frail or frail (OR = 3.80; 95% CI: 2.67-5.46;P < 0.001), followed by those who transitioned from a robust state to a worse frailty category (OR = 3.08; 95% CI: 2.13-4.48;P < 0.001). Furthermore, greater increases in the Frailty Index (ΔFI) and higher overall FI scores were significantly associated with an elevated risk of CKM syndrome (ΔFI: OR = 2.12; 95% CI: 1.51-2.98; FI score: OR = 2.19; 95% CI: 1.54-3.11; P < 0.001), after full adjustment.Mediation analysis indicated that IR accounted for approximately 31.6% of the total effect of frailty on the development of CKM syndrome.

conclusionBoth baseline frailty and its progression over time were independently associated with an elevated risk of advanced CKM syndrome. IR was identified as a partial mediator in this relationship. This finding suggests that IR may serve as a modifiable biological target for intervention.

Indexed as

Cardiovascular-kidney-metabolic syndromeCHARLSFrailtyInsulin resistance

Identifiers

PMID41455977
PMCPMC12853744

What Socratic holds

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LicenceCC BY-NC-ND
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Registered trials

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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 Socratic graph.