Evidence map›Paper›PMID 39891229›Full record

ArticleCardiovascular diabetology2025

Association between the cumulative estimated glucose disposal rate and incident cardiovascular disease in individuals over the age of 50 years and without diabetes: data from two large cohorts in China and the United States.

Jin Zhang, Ziyi Sun, Yufei Li, Yuhan Yang, Wenjie Liu, Mengwen Huang, Kuiwu Yao

Abstract read
In one paragraph

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 31 papers.

0numbers the graph read from it
0cells of the map it votes in
31citing 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

31 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

7 authors.

Jin Zhang *Guang'anmen Hospital, China Academy of Chinese Medical Sciences, Beijing, China.
Ziyi Sun *Guang'anmen Hospital, China Academy of Chinese Medical Sciences, Beijing, China.
Yufei LiGraduate School, Beijing University of Chinese Medicine, Beijing, China.
Yuhan YangGuang'anmen Hospital, China Academy of Chinese Medical Sciences, Beijing, China.
Wenjie LiuGuang'anmen Hospital, China Academy of Chinese Medical Sciences, Beijing, China.
Mengwen HuangGuang'anmen Hospital, China Academy of Chinese Medical Sciences, Beijing, China.
Kuiwu YaoChina Academy of Chinese Medical Sciences, Beijing, China. yaokuiwu@126.com.

Funding

Integrting Information About Aging SurveysR01AG030153 · NIA · UNIVERSITY OF SOUTHERN CALIFORNIA · PI Sara Adar, Alden L. Gross · 2007 to 2026
$41.7M
Mega Meta Data Set of the Health and Retirement Surveys Around the WorldRC2AG036619 · NIA · RAND CORPORATION · PI KAPTEYN, ARIE · 2009 to 2010
$2.0M
Archiving & Creating User Friendly Data: the Longitudinal Aging Survey in IndiaR03AG043052 · NIA · RAND CORPORATION · PI LEE, JINKOOK · 2012 to 2012
$95k
NIA NIH HHS R01 AG030153NIA NIH HHS R03 AG043052NIA NIH HHS RC2 AG036619Scientific and Technological Innovation Project of China Academy of Chinese Medical Sciences CI2021B004
6 · The paper itself

Abstract

backgroundThe estimated glucose disposal rate (eGDR) has been linked to incident cardiovascular disease (CVD) in individuals without diabetes. However, few studies have accounted for long-term cumulative eGDR exposure.

objectiveThe aim of this study was to explore whether long-term cumulative eGDR was independently associated with incident CVD in individuals over the age of 50 years and without diabetes.

methodsThis study used data from the China Health and Retirement Longitudinal Study (CHARLS) and Health and Retirement Study (HRS). The cumulative eGDR was calculated as the summation of the average eGDR for each pair of consecutive examinations multiplied by the time between these two consecutive visits, in years. The outcome was incident CVD. Cox proportional hazards regression models and restricted cubic spline (RCS) regression models were used to evaluate the association between cumulative eGDR and incident CVD.

resultsA total of 2430 participants from CHARLS and 2008 participants from HRS were included in the analysis. The median age of the participants in CHARLS at baseline was 59 years [IQR: 55-65 years], and 1205 (49.59%) were men. The median age of the participants in HRS at baseline was 64 years [IQR: 57-70 years], and 705 (35.11%) were men. The RCS regression model showed a negative and linear association between the cumulative eGDR and incidence of CVD (CHARLS: P < 0.001, P for nonlinearity = 0.248; HRS: P = 0.013, P for nonlinearity = 0.121). After multivariate adjustment, the higher levels of cumulative eGDR were independently associated with a lower risk of CVD (per SD, CHARLS: HR: 0.802, 95% CI: 0.716-0.898, HRS: HR: 0.791, 95% CI: 0.665-0.940, pooled analysis: HR: 0.799, 95% CI: 0.726-0.878).

conclusionsA lower level of cumulative eGDR was associated with an increased risk of incident CVD in individuals over the age of 50 years and without diabetes. Continuous monitoring of cumulative eGDR exposure over time, based on consideration of traditional risk factors, may prove beneficial for the early identification and intervention of individuals at high risk of CVD. In regions with limited healthcare resources, among individuals with limited ability to access, process, and understand health information and services, cumulative eGDR may offer improved clinical applicability.

Indexed as

Blood GlucoseCardiovascular DiseasesAgedAge FactorsBiomarkersChinaDiabetes MellitusFemaleHumansIncidenceLongitudinal StudiesMaleMiddle AgedRisk AssessmentRisk FactorsTime FactorsBiomarkersBlood GlucoseCardiovascular diseaseCohort studyCumulative exposureeGDR

Identifiers

PMID39891229
PMCPMC11786493

What OpenQuestion 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 OpenQuestion graph.