Evidence mapPaperPMID 41419835Full record

ArticleCardiovascular diabetology2025

Association between the cumulative estimated glucose disposal rate and incident stroke in adults aged 50 and above without diabetes: a prospective nationwide cohort study in China.

Ran Yan, Yawen Yin, Yizhen Hu, Juxiang Yang, Jindong Chang, Yi Wang, Gang Song

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Article in Cardiovascular diabetology, 2025. 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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1 · What the graph read from it

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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

Authors and funding

7 authors.

Ran YanSchool of Physical Education, Southwest University, Chongqing, 400715, China.
Yawen YinSchool of Mathematics and Statistics, Southwest University, Chongqing, 400715, China.
Yizhen HuSchool of Physical Education, Southwest University, Chongqing, 400715, China.
Juxiang YangSchool of Physical Education, Southwest University, Chongqing, 400715, China.
Jindong ChangSchool of Physical Education, Southwest University, Chongqing, 400715, China.
Yi WangDepartment of Physical Education, Renmin University of China, Beijing, 100872, China.
Gang SongSchool of Physical Education, Southwest University, Chongqing, 400715, China. songgang@aliyun.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPrior studies have suggested an association between estimated glucose disposal rate (eGDR) and the risk of incident stroke in nondiabetic populations. However, evidence regarding the impact of long-term cumulative exposure to eGDR on stroke risk remains limited. This study aimed to investigate whether cumulative eGDR levels are independently associated with incident stroke among adults aged 50 years and older without diabetes.

methodsWe used data from the China Health and Retirement Longitudinal Study (CHARLS) and included 3,808 participants aged 50 years or older with no history of diabetes. Cumulative eGDR was calculated as the sum of the products of the average eGDR between consecutive survey waves and the corresponding time interval in years. The primary outcome was incident stroke. Associations between cumulative eGDR and stroke risk were assessed using Cox proportional hazards regression and restricted cubic spline (RCS) models. Discriminatory performance was assessed using receiver-operating characteristic (ROC) curves.

resultsThe median age at baseline was 61 years, and 48.7% of participants were men. RCS analyses revealed a significant inverse and nonlinear association between cumulative eGDR and incident stroke (P < 0.001; P for nonlinearity = 0.021). After adjustment for potential confounders, higher cumulative eGDR was independently associated with a reduced risk of stroke (per standard deviation increase: HR: 0.69; 95% CI, 0.60-0.80; P < 0.001). Quartile-based analysis of cumulative eGDR further demonstrated that, compared with participants in the lowest quartile, those in the second quartile (Q2: HR: 0.63; 95% CI, 0.46-0.88; P = 0.006), third quartile (Q3: HR: 0.41; 95% CI, 0.28-0.60; P < 0.001) and fourth quartile (Q4: HR: 0.35; 95% CI, 0.23-0.52; P < 0.001) had significantly lower risks of incident stroke.

conclusionsAmong adults aged 50 years or older without diabetes, lower cumulative eGDR levels were significantly associated with an increased risk of incident stroke.

Indexed as

Blood GlucoseStrokeAgedAge FactorsBiomarkersChinaFemaleHumansIncidenceLongitudinal StudiesMaleMiddle AgedPrognosisProspective StudiesRisk AssessmentRisk FactorsBiomarkersBlood GlucoseCohort studyCumulative exposureEstimated glucose disposal rate (eGDR)Stroke

Identifiers

PMID41419835
PMCPMC12922275

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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.