Evidence map›Paper›PMID 41458544›Full record

SynthesisFrontiers in endocrinology2025

Estimated glucose disposal rate and cardiovascular disease risk: a meta-analysis of cohort studies.

Zhijun Zhang, Beibei Wang, Lijuan Qu, Boping Huang

Abstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in Frontiers in endocrinology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
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

4 authors.

Zhijun ZhangDepartment of Cardiology, Shanxi Bethune Hospital, Shanxi Academy of Medical Sciences, Tongji Shanxi Hospital, Third Hospital of Shanxi Medical University, Taiyuan, Shanxi, China.
Beibei WangDepartment of Cardiology, The First People's Hospital of Jinzhong, Jinzhong, Shanxi, China.
Lijuan QuDepartment of Cardiology, Shanxi Bethune Hospital, Shanxi Academy of Medical Sciences, Tongji Shanxi Hospital, Third Hospital of Shanxi Medical University, Taiyuan, Shanxi, China.
Boping HuangDepartment of Cardiology, Shanxi Bethune Hospital, Shanxi Academy of Medical Sciences, Tongji Shanxi Hospital, Third Hospital of Shanxi Medical University, Taiyuan, Shanxi, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Insulin resistance (IR) is a key cardiovascular disease (CVD) risk factor. The estimated glucose disposal rate (eGDR) is a reliable IR marker linked to CVD risk. This study is the first extensive meta-analysis of this correlation in a general population free from baseline CVD. Methods: We searched electronic databases such as PubMed, Web of Science and Embase for cohort studies reporting eGDR and CVD risk. Studies included adults without baseline CVD, measured eGDR at baseline, and reported hazard ratio (HR) [95% confidence interval (CI)]. The combined HR and its 95% CI were determined through the application of random or fixed effects models. Meta-regression with robust error was utilized to depict the nonlinear dose-response relationship. Results: Twelve cohort studies with 547,287 subjects were included, with follow-up durations ranging from 5.6 to 14.1 years. Participants with the highest eGDR category had a lower risk of CVD (HR: 0.58, 95% CI 0.53-0.63), stroke (HR: 0.62, 95% CI: 0.56-0.69), and coronary heart disease (HR: 0.46, 95% CI: 0.25-0.83) compared with the lowest eGDR category. This aligns with the meta-analysis results, where eGDR as a continuous variable had HRs of 0.88 (95% CI: 0.85-0.91) for CVD, 0.84 (95% CI: 0.76-0.93) for stroke, and 0.85 (95% CI: 0.83-0.87) for coronary heart disease. Subgroup analyses revealed that sex, sample size, follow-up duration, and prediabetes/diabetes status did not significantly affect the results. Dose-response analysis indicated that there was a linear negative association of the eGDR with the risk of CVD (P Conclusions: The higher eGDR is associated with lower risk of CVD, stroke, and coronary heart disease in individuals without baseline CVD. However, the observational design and high heterogeneity across studies prevent causal inference.

Indexed as

Blood GlucoseCardiovascular DiseasesInsulin ResistanceCohort StudiesHumansRisk FactorsBlood Glucosecardiovascular diseasecohort studiescoronary heart diseaseestimated glucose disposal ratemeta-analysisstroke

Identifiers

PMID41458544
PMCPMC12740917

What Socratic holds

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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.