Evidence mapPaperPMID 41654871Full record

ArticleCardiovascular diabetology2026

Cumulative exposure to the estimated glucose disposal rate and incident stroke in individuals with cardiovascular-kidney-metabolic syndrome stages 0-4: 6-year longitudinal evidence from CHARLS.

Yan Wang, Ning Wei, Meng Li, Jun-Wen Liu, Hong-Bin Lin, Hong-Fei Zhang

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Article in Cardiovascular diabetology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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2citing papers in PubMed
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3 · Its place in the literature

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2 citing papers in PubMed.

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5 · Who and what money

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6 authors.

Yan Wang *Department of Anesthesiology, Zhujiang Hospital, Southern Medical University, Guangzhou, 510280, China.
Ning Wei *Department of Anesthesiology, Zhujiang Hospital, Southern Medical University, Guangzhou, 510280, China.
Meng LiDepartment of Anesthesiology, Zhujiang Hospital, Southern Medical University, Guangzhou, 510280, China.
Jun-Wen LiuDepartment of Anesthesiology, Zhujiang Hospital, Southern Medical University, Guangzhou, 510280, China.
Hong-Bin LinDepartment of Anesthesiology, Zhujiang Hospital, Southern Medical University, Guangzhou, 510280, China.
Hong-Fei ZhangDepartment of Anesthesiology, Zhujiang Hospital, Southern Medical University, Guangzhou, 510280, China. zhanghongfei@smu.edu.cn.

Funding

National Natural Science Foundation of China 82471294Natural Science Foundation of Guangdong Province 2024A1515012256
6 · The paper itself

Abstract

backgroundThe estimated glucose disposal rate (eGDR), an established measure of peripheral insulin sensitivity, contributes to stratifying the risk of cardio-cerebrovascular events. Nevertheless, the association between long-term eGDR exposure and stroke incidence throughout all stages (0-4) of cardiovascular-kidney-metabolic (CKM) syndrome remains unknown.

methodsA cohort of 5248 individuals was drawn from the China Health and Retirement Longitudinal Study (CHARLS). For each participant, eGDR values for the years 2012 and 2015 were calculated using the equation: 21.158 - [0.090 × WC (cm)] - [3.407 × HTN (presence = 1)] - [0.551 × HbA1c (%)]. Cumulative eGDR was calculated as (eGDR

resultsDuring the 2015-2018 follow-up period, a total of 336 incident stroke cases were documented. Four distinct eGDR change patterns were identified. In fully adjusted models, compared with the participants in the persistent low pattern (Class 2), those in the moderate-high stable (OR 0.43, 95% CI: 0.31-0.58), stable high (OR 0.29, 0.19-0.43), and rapid decrease (OR 0.66, 0.47-0.91) patterns exhibited significantly lower stroke risk. Furthermore, each 1-unit increase in cumulative eGDR was associated with a 5% reduction in stroke odds (OR 0.95, 0.93-0.96). Restricted cubic spline analysis confirmed a linear inverse relationship between cumulative eGDR and stroke risk (P < 0.001; P for nonlinearity = 0.259).

conclusionCumulative eGDR is inversely associated with stroke risk across all CKM syndrome stages (0-4). This observation suggests that prolonged eGDR surveillance may be associated with improved risk stratification in this population.

Indexed as

Blood GlucoseKidney DiseasesMetabolic SyndromeStrokeAgedBiomarkersChinaFemaleHumansIncidenceInsulin ResistanceLongitudinal StudiesMaleMiddle AgedPrognosisRisk AssessmentBiomarkersBlood GlucoseCardiovascular–kidney–metabolic syndromeCumulative estimated glucose disposal rateStroke

Identifiers

PMID41654871
PMCPMC12977610

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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.