Evidence mapPaperPMID 39136536Full record

ArticleJournal of diabetes2024

Association between estimated glucose disposal rate control level and stroke incidence in middle-aged and elderly adults.

Jiangnan Yao, Feng Zhou, Lingzhi Ruan, Yiling Liang, Qianrong Zheng, Jiaxin Shao, Fuman Cai, Jianghua Zhou, Hao Zhou

Abstract read
In one paragraph

Article in Journal of diabetes, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing 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

25 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

9 authors.

Jiangnan YaoCollege of Nursing, Wenzhou Medical University, Wenzhou, China.
Feng ZhouDepartment of Global Health, School of Public Health, Wuhan University of Science and Technology, Wuhan, China.
Lingzhi RuanDepartment of Clinical Medicine, Wenzhou Medical University, Wenzhou, China.
Yiling LiangCollege of Nursing, Wenzhou Medical University, Wenzhou, China.
Qianrong ZhengCollege of Nursing, Wenzhou Medical University, Wenzhou, China.
Jiaxin ShaoCollege of Nursing, Wenzhou Medical University, Wenzhou, China.
Fuman CaiCollege of Nursing, Wenzhou Medical University, Wenzhou, China.
Jianghua ZhouDepartment of Cardiology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China.
Hao ZhouDepartment of Cardiology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China.ORCID https://orcid.org/0009-0009-2297-7932

Funding

Zhejiang Provincial Health Commission 2024KY1272
6 · The paper itself

Abstract

backgroundTo estimate glucose disposal rate (eGDR) as a newly validated surrogate marker of insulin resistance. Few studies have explored the association between changes in eGDR levels and stroke incidence. This study aims to explore the effect of the level of eGDR control on stroke and events.

methodsData were obtained from the China Longitudinal Study on Health and Retirement (CHARLS). The eGDR control level was classified using K-means cluster analysis. Logistic regression analysis was used to explore the association between different eGDR control levels and incident stroke. Restrictive cubic spline regression was used to test the potential nonlinear association between cumulative eGDR and stroke incidence.

resultsOf the 4790 participants, 304 (6.3%) had a stroke within 3 years. The odds ratio (OR) was 2.34 (95% confidence interval [CI], 1.42-3.86) for the poorly controlled class 4 and 2.56 (95% CI, 1.53-4.30) for the worst controlled class 5 compared with class 1 with the best controlled eGDR. The OR for well-controlled class 2 was 1.28 (95% CI, 0.79-2.05), and the OR for moderately controlled class 3 was 1.95 (95% CI, 1.14-3.32). In restrictive cubic spline regression analysis, eGDR changes are linearly correlated with stroke occurrence. Weighted quartile and regression analysis identified waist circumference and hypertension as key variables of eGDR for predicting incident stroke.

conclusionsPoorly controlled eGDR level is associated with an increased risk of stroke in middle-aged and elderly people. Monitoring changes in eGDR may help identify individuals at high risk of stroke early.

Indexed as

Blood GlucoseInsulin ResistanceStrokeAgedBiomarkersChinaFemaleHumansIncidenceLongitudinal StudiesMaleMiddle AgedRisk FactorsBiomarkersBlood GlucoseCHARLSestimated glucose disposal ratestroke

Identifiers

PMID39136536
PMCPMC11320750

What Socratic holds

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LicenceCC BY
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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.