Evidence map›Paper›PMID 40604950›Full record

ArticleCardiovascular diabetology2025

Association of prediabetes and insulin resistance on prognosis of patients with moderate-to-severe coronary artery calcification: a prospective cohort study.

Enmin Xie, Huimin Cai, Zixiang Ye, Min Yang, Lei Feng, Chenggang Zhu, Jia Li, Kefei Dou

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 10 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 2 pooled it
–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

10 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
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  3. Observational
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  7. Review
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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

8 authors.

Enmin Xie *Cardiometabolic Medicine Center, Fuwai Hospital, National Clinical Research Center for Cardiovascular Diseases, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, 167A, Beilishi Road, Xicheng District, Beijing, 100037, China.
Huimin Cai *Innovation Center for Neurological Disorders and Department of Neurology, Xuanwu Hospital, Capital Medical University, National Clinical Research Center for Geriatric Diseases, Beijing, China.
Zixiang YeDepartment of Cardiology, Fuwai Hospital, National Clinical Research Center for Cardiovascular Diseases, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Min YangCardiometabolic Medicine Center, Fuwai Hospital, National Clinical Research Center for Cardiovascular Diseases, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, 167A, Beilishi Road, Xicheng District, Beijing, 100037, China.
Lei FengCardiometabolic Medicine Center, Fuwai Hospital, National Clinical Research Center for Cardiovascular Diseases, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, 167A, Beilishi Road, Xicheng District, Beijing, 100037, China.
Chenggang ZhuCardiometabolic Medicine Center, Fuwai Hospital, National Clinical Research Center for Cardiovascular Diseases, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, 167A, Beilishi Road, Xicheng District, Beijing, 100037, China.
Jia LiCardiometabolic Medicine Center, Fuwai Hospital, National Clinical Research Center for Cardiovascular Diseases, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, 167A, Beilishi Road, Xicheng District, Beijing, 100037, China. lijia99@fuwai.com.
Kefei DouCardiometabolic Medicine Center, Fuwai Hospital, National Clinical Research Center for Cardiovascular Diseases, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, 167A, Beilishi Road, Xicheng District, Beijing, 100037, China. drdoukefei@126.com.

Funding

CAMS Innovation Fund for Medical Sciences (CIFMS) 2021-I2M-1-008Noncommunicable Chronic Diseases-National Science and Technology Major Project 2023ZD0513900the Fundamental Research Funds for the Central Universities 3332024033
6 · The paper itself

Abstract

backgroundPrediabetes and insulin resistance are linked to the presence and progression of coronary artery calcification, but their prognostic significance in individuals with moderate-to-severe coronary artery calcification (MSCAC) remains unclear. The triglyceride-glucose (TyG) index, a validated surrogate marker of insulin resistance and a reliable predictor of cardiovascular outcomes, has not been thoroughly investigated for its role in risk stratification in patients with MSCAC. This study sought to evaluate the prognostic value of different prediabetes definitions and to determine whether the TyG index enhances risk stratification in this population.

methodsThis prospective cohort study consecutively enrolled 4195 patients with angiography-detected MSCAC. Prediabetes was defined using two criteria: the American Diabetes Association (ADA) criteria (fasting plasma glucose [FPG] 5.6-6.9 mmol/L and/or hemoglobin A1c [HbA1c] 5.7-6.4%), and the World Health Organization (WHO)/International Expert Committee (IEC) criteria (FPG 6.1-6.9 mmol/L and/or HbA1c 6.0-6.4%). The primary outcome was the incidence of major adverse cardiovascular events (MACE), including cardiovascular death, nonfatal myocardial infarction, and stroke.

resultsThe prevalence of ADA-defined prediabetes was 36.6%, nearly twice that of WHO/IEC-defined prediabetes (17.9%). Over a median follow-up of 3.1 years, WHO/IEC-defined prediabetes was significantly associated with an increased risk of MACE compared to normoglycemia (adjusted hazard ratio [HR] 1.79, 95% confidence interval [CI] 1.07-2.99), while ADA-defined prediabetes was not. Patients in the highest TyG index tertile had a significantly higher MACE risk than those in the lowest tertile (adjusted HR 2.25, 95% CI 1.30-3.90). Restricted cubic spline analysis demonstrated a positive linear association between the TyG index and MACE risk (P for nonlinearity > 0.05). Notably, individuals with both WHO/IEC-defined prediabetes and a high TyG index had an even higher MACE risk (adjusted HR 2.43, 95% CI 1.12-5.32), whereas those with prediabetes and a low TyG index did not demonstrate a comparable increase (adjusted HR 1.60, 95% CI 0.90-2.85). Incorporating both WHO/IEC-defined glycemic status and the TyG index into the baseline risk model significantly improved its predictive accuracy compared to including either marker alone, as indicated by enhancements in the C-statistic, continuous net reclassification improvement, and integrated discrimination improvement. These findings were consistent in subgroup analyses and sensitivity analyses.

conclusionThis study highlights the prognostic value of WHO/IEC-defined prediabetes and the TyG index in identifying high-risk individuals among patients with MSCAC. Integrating these measures into clinical risk assessment may enhance prognostic accuracy and inform more targeted prevention strategies.

Indexed as

Blood GlucoseCoronary Artery DiseaseInsulin ResistancePrediabetic StateVascular CalcificationAgedBiomarkersCoronary AngiographyFemaleGlycated HemoglobinHeart Disease Risk FactorsHumansIncidenceMaleMiddle AgedPredictive Value of TestsBiomarkersBlood GlucoseGlycated Hemoglobinhemoglobin A1c protein, humanTriglyceridesCoronary artery calcificationInsulin resistancePrediabetesPrognosisTriglyceride-glucose index

Identifiers

PMID40604950
PMCPMC12225229

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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.