Evidence map›Paper›PMID 39844258›Full record

SynthesisCardiovascular diabetology2025

Triglyceride-glucose-body mass index and the incidence of cardiovascular diseases: a meta-analysis of cohort studies.

Xiyun Rao, Ziyi Xin, Qingwen Yu, Lanlan Feng, Yongmin Shi, Ting Tang, Xuhan Tong, Siqi Hu, Yao You, Shenghui Zhang and 4 more

Abstract readMeta-AnalysisReview
In one paragraph

Synthesis in Cardiovascular diabetology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 44 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
44citing papers in PubMed, 3 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

44 citing papers in PubMed, 3 syntheses or guidelines pooled it.

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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

14 authors.

Xiyun Rao *Department of Cardiology, Affiliated Hospital of Hangzhou Normal University, Hangzhou Institute of Cardiovascular Diseases, Zhejiang Key Laboratory of Medical Epigenetics, School of Basic Medical Sciences, Zhejiang Key Laboratory for Research in Assessment of Cognitive Impairments, Hangzhou Normal University, Hangzhou, 310015, China.
Ziyi Xin *Department of Cardiology, Affiliated Hospital of Hangzhou Normal University, Hangzhou Institute of Cardiovascular Diseases, Zhejiang Key Laboratory of Medical Epigenetics, School of Basic Medical Sciences, Zhejiang Key Laboratory for Research in Assessment of Cognitive Impairments, Hangzhou Normal University, Hangzhou, 310015, China.
Qingwen Yu *Department of Cardiology, Affiliated Hospital of Hangzhou Normal University, Hangzhou Institute of Cardiovascular Diseases, Zhejiang Key Laboratory of Medical Epigenetics, School of Basic Medical Sciences, Zhejiang Key Laboratory for Research in Assessment of Cognitive Impairments, Hangzhou Normal University, Hangzhou, 310015, China.
Lanlan FengDepartment of Cardiology, Affiliated Hospital of Hangzhou Normal University, Hangzhou Institute of Cardiovascular Diseases, Zhejiang Key Laboratory of Medical Epigenetics, School of Basic Medical Sciences, Zhejiang Key Laboratory for Research in Assessment of Cognitive Impairments, Hangzhou Normal University, Hangzhou, 310015, China.
Yongmin ShiDepartment of Cardiology, Affiliated Hospital of Hangzhou Normal University, Hangzhou Institute of Cardiovascular Diseases, Zhejiang Key Laboratory of Medical Epigenetics, School of Basic Medical Sciences, Zhejiang Key Laboratory for Research in Assessment of Cognitive Impairments, Hangzhou Normal University, Hangzhou, 310015, China.
Ting TangDepartment of Cardiology, Affiliated Hospital of Hangzhou Normal University, Hangzhou Institute of Cardiovascular Diseases, Zhejiang Key Laboratory of Medical Epigenetics, School of Basic Medical Sciences, Zhejiang Key Laboratory for Research in Assessment of Cognitive Impairments, Hangzhou Normal University, Hangzhou, 310015, China.
Xuhan TongDepartment of Cardiology, Affiliated Hospital of Hangzhou Normal University, Hangzhou Institute of Cardiovascular Diseases, Zhejiang Key Laboratory of Medical Epigenetics, School of Basic Medical Sciences, Zhejiang Key Laboratory for Research in Assessment of Cognitive Impairments, Hangzhou Normal University, Hangzhou, 310015, China.
Siqi HuDepartment of Cardiology, Affiliated Hospital of Hangzhou Normal University, Hangzhou Institute of Cardiovascular Diseases, Zhejiang Key Laboratory of Medical Epigenetics, School of Basic Medical Sciences, Zhejiang Key Laboratory for Research in Assessment of Cognitive Impairments, Hangzhou Normal University, Hangzhou, 310015, China.
Yao YouDepartment of Cardiology, Affiliated Hospital of Hangzhou Normal University, Hangzhou Institute of Cardiovascular Diseases, Zhejiang Key Laboratory of Medical Epigenetics, School of Basic Medical Sciences, Zhejiang Key Laboratory for Research in Assessment of Cognitive Impairments, Hangzhou Normal University, Hangzhou, 310015, China.
Shenghui ZhangDepartment of Cardiology, Affiliated Hospital of Hangzhou Normal University, Hangzhou Institute of Cardiovascular Diseases, Zhejiang Key Laboratory of Medical Epigenetics, School of Basic Medical Sciences, Zhejiang Key Laboratory for Research in Assessment of Cognitive Impairments, Hangzhou Normal University, Hangzhou, 310015, China.
Jiake TangDepartment of Cardiology, Affiliated Hospital of Hangzhou Normal University, Hangzhou Institute of Cardiovascular Diseases, Zhejiang Key Laboratory of Medical Epigenetics, School of Basic Medical Sciences, Zhejiang Key Laboratory for Research in Assessment of Cognitive Impairments, Hangzhou Normal University, Hangzhou, 310015, China.
Xingwei ZhangDepartment of Cardiology, Affiliated Hospital of Hangzhou Normal University, Hangzhou Institute of Cardiovascular Diseases, Zhejiang Key Laboratory of Medical Epigenetics, School of Basic Medical Sciences, Zhejiang Key Laboratory for Research in Assessment of Cognitive Impairments, Hangzhou Normal University, Hangzhou, 310015, China.
Mingwei WangDepartment of Cardiology, Affiliated Hospital of Hangzhou Normal University, Hangzhou Institute of Cardiovascular Diseases, Zhejiang Key Laboratory of Medical Epigenetics, School of Basic Medical Sciences, Zhejiang Key Laboratory for Research in Assessment of Cognitive Impairments, Hangzhou Normal University, Hangzhou, 310015, China. wmw990556@hznu.edu.cn.
Ling LiuDepartment of Cardiology, Affiliated Hospital of Hangzhou Normal University, Hangzhou Institute of Cardiovascular Diseases, Zhejiang Key Laboratory of Medical Epigenetics, School of Basic Medical Sciences, Zhejiang Key Laboratory for Research in Assessment of Cognitive Impairments, Hangzhou Normal University, Hangzhou, 310015, China. 17858778687@163.com.

Funding

Hangzhou bio-medicine and health industry development support science and technology project No. 2021WJCY238Medical and Technology Project of Zhejiang Province No.2021KY890Zhejiang Traditional Chinese Medicine Scientific Research Fund Project No. 2022ZB280; No. 2019ZA093
6 · The paper itself

Abstract

backgroundNumerous studies have shown that insulin resistance (IR) is closely related to the pathogenesis of cardiovascular disease (CVD). This study aims to summarize the correlation between the triglyceride-glucose-body mass index (TyG-BMI index), a novel surrogate indicator of insulin resistance, and the incidence of CVD in patients without CVD at baseline through meta-analysis.

methodCohort studies assessing multivariate-corrected hazard ratios (HRs) for associations between the TyG-BMI index and cardiovascular disease (CVD) were obtained by searching PubMed, Cochrane Library, EMBASE, and Web of Science. Results were combined using a random-effects model to account for heterogeneity among the included studies. Robust error meta-regression was used to fit the nonlinear dose-response relationship. Statistical analysis was performed using Review Manager 5.4 and STATA 18.0.

resultTen cohort studies involving a total of 871,728 subjects were included. The results indicated that Compared with the lowest TyG-BMI index category, the highest TyG-BMI index was related to a higher incidence of cardiovascular diseases (CVD) (HR = 1.62; 95% confidence interval (CI): 1.35-1.95; I

conclusionHigher TyG-BMI may be independently associated with an increased risk of CVD in individuals without CVD at baseline. Numerous cohort studies are needed to further validate and elucidate the pathologic role between Tyg-BMI and CVD and to determine whether it can be incorporated into CVD risk prediction tools to enhance predictive accuracy.

Indexed as

Blood GlucoseBody Mass IndexCardiovascular DiseasesInsulin ResistanceTriglyceridesAdultAgedBiomarkersFemaleHeart Disease Risk FactorsHumansIncidenceMaleMiddle AgedPrognosisRisk AssessmentBiomarkersBlood GlucoseTriglyceridesCardiovascular diseasesCoronary heart diseaseInsulin resistanceMeta-analysisStrokeTriglyceride-glucose-body mass index

Identifiers

PMID39844258
PMCPMC11756031

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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 OpenQuestion graph.