Evidence map›Paper›PMID 40612434›Full record

ArticleFrontiers in endocrinology2025

Association between glycemia risk index and carotid intima-media thickness in type 2 diabetes.

Lingyun Zhao, Hongyan Heng, Qinyuan Xie, Chenghong Liang, Sijia Guo, Ziyi Zhang, Huijuan Yuan

Abstract read
In one paragraph

Article in Frontiers in endocrinology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Lingyun ZhaoDepartment of Endocrinology, Zhengzhou University People's Hospital, Zhengzhou, China.
Hongyan HengDepartment of Endocrinology, Henan Provincial Key Medicine Laboratory of Intestinal Microecology and Diabetes, Diabetes Microecology Diagnosis and Treatment and Transformation Engineering Research Center of Henan Province, Henan Provincial People's Hospital, Zhengzhou, China.
Qinyuan XieDepartment of Endocrinology, Zhengzhou University People's Hospital, Zhengzhou, China.
Chenghong LiangDepartment of Endocrinology, Zhengzhou University People's Hospital, Zhengzhou, China.
Sijia GuoDepartment of Endocrinology, Zhengzhou University People's Hospital, Zhengzhou, China.
Ziyi ZhangDepartment of Endocrinology, Zhengzhou University People's Hospital, Zhengzhou, China.
Huijuan YuanDepartment of Endocrinology, Zhengzhou University People's Hospital, Zhengzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: To investigate the association between the Glycemic Risk Index (GRI) and carotid intima-media thickness (CIMT) in type 2 diabetes mellitus (T2DM) patients and evaluate the clinical utility of GRI for early vascular risk assessment. Methods: This retrospective study included 450 previously untreated patients with T2DM prior to hospitalization. We calculated GRI using CGM data and assessed CIMT with high-resolution ultrasound. Multiple linear and logistic regression analyses assessed the association between GRI and CIMT. Receiver operating characteristic (ROC) curve analyses evaluated GRI's predictive performance. Results: There was a significant positive correlation between GRI and CIMT (r = 0.42, P < 0.001). After adjusting for confounders, GRI remained an independent predictor of CIMT thickening (OR = 7.226, 95% CI: 5.597-8.856, P < 0.001). ROC analysis revealed that GRI alone predicted abnormal CIMT with an AUC of 0.869. Conclusion: GRI is a robust marker for predicting CIMT thickening in T2DM patients, providing a novel approach for cardiovascular risk stratification. This study underscores the potential of integrating GRI into routine diabetes management to improve vascular outcomes.

Indexed as

Blood GlucoseCardiovascular DiseasesCarotid Intima-Media ThicknessDiabetes Mellitus, Type 2Glycemic IndexAgedFemaleHumansMaleMiddle AgedRetrospective StudiesRisk AssessmentRisk FactorsROC CurveBlood Glucosecardiovascular diseasescarotid intima-media thicknesscontinuous glucose monitoringglycemia risk indextype 2 diabetes

Identifiers

PMID40612434
PMCPMC12224650

What Socratic holds

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LicenceCC BY
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Registered trials

None linked

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.