Evidence map›Paper›PMID 40251696›Full record

ArticleDiabetology & metabolic syndrome2025

Association between estimated glucose disposal rate and future cardiovascular disease risk across glucose metabolism status: a prospective cohort study.

Xiaomin Liang, Kai Lai, Xiaohong Li, Di Ren, Shuiqing Gui, Zemao Xing, Ying Li

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 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 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.

Xiaomin LiangDepartment of Critical Care Medicine, Shenzhen Second People's Hospital, The First Affiliated Hospital of Shenzhen University, Shenzhen, China.
Kai LaiDepartment of Critical Care Medicine, Shenzhen Second People's Hospital, The First Affiliated Hospital of Shenzhen University, Shenzhen, China.
Xiaohong LiDepartment of Critical Care Medicine, Shenzhen Second People's Hospital, The First Affiliated Hospital of Shenzhen University, Shenzhen, China.
Di RenDepartment of Critical Care Medicine, Shenzhen Second People's Hospital, The First Affiliated Hospital of Shenzhen University, Shenzhen, China.
Shuiqing Gui *Department of Critical Care Medicine, Shenzhen Second People's Hospital, The First Affiliated Hospital of Shenzhen University, Shenzhen, China. guishuiqing@163.com.
Zemao Xing *Department of Critical Care Medicine, Shenzhen Second People's Hospital, The First Affiliated Hospital of Shenzhen University, Shenzhen, China. zemaox@126.com.
Ying Li *Department of Critical Care Medicine, Shenzhen Second People's Hospital, The First Affiliated Hospital of Shenzhen University, Shenzhen, China. liying20020813@163.com.

Funding

Sanming Project of Medicine in Shenzhen No. SZSM202211016Shenzhen Fund for Guangdong Provincial High-level Clinical Key Specialties No. SZGSP006Shenzhen Science and Technology Program JSGG20191118161401741Shenzhen Second People's Hospital Clinical Research Fund of Guangdong Province High-level Hospital Construction Project Grant No.20223357008, No.2023xgyj3357003
6 · The paper itself

Abstract

backgroundCardiovascular disease (CVD) remains a major global health challenge, particularly affected by glucose metabolism status. However, the relationship between estimated glucose disposal rate (eGDR) and future CVD risk across different glucose metabolism status remains unclear.

methodsWe analyzed data from the China Health and Retirement Longitudinal Study (2011-2020) of participants aged ≥ 45 years. The eGDR was calculated using waist circumference, hypertension status, and HbA1c levels. CVD events (stroke or cardiac events) were the outcome. Participants were categorized by glucose metabolism status (normoglycemia, prediabetes, diabetes). Cox proportional hazards models and restricted cubic splines were used to assess associations and potential non-linear relationships.

resultsAmong 7,828 participants (52.84% male, mean age 59.01 ± 9.21 years) followed for an average of 8.29 years, 1,944 participants (24.83%) developed CVD. Higher eGDR was inversely associated with CVD risk across all glucose metabolism states. Below the inflection points (11.77, 11.15, and 11.56 mg/kg/min for normoglycemia, prediabetes, and diabetes, respectively), each 1-unit increase in eGDR reduced CVD risk by 14% (HR = 0.86, 95%CI: 0.83-0.89), 10% (HR = 0.90, 95%CI: 0.86-0.93), and 14% (HR = 0.86, 95%CI: 0.81-0.91), respectively.

conclusionThe eGDR demonstrates a potentially non-linear inverse association with future CVD risk across different glucose metabolism states.

Indexed as

Cardiovascular diseaseCohort studyEstimated glucose disposal rateGlucose metabolism statusStroke

Identifiers

PMID40251696
PMCPMC12007373

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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.