Evidence map›Paper›PMID 39780176›Full record

ArticleCardiovascular diabetology2025

Inflammatory markers link triglyceride-glucose index and obesity indicators with adverse cardiovascular events in patients with hypertension: insights from three cohorts.

Yanqiu Huang, Yi Zhou, Yadan Xu, Xiaoyu Wang, Ziyi Zhou, Kang Wu, Qiqi Meng, Liao Wang, Yang Yang, Hong Gao and 5 more

Abstract readMulticenter Study
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 81 papers.

0numbers the graph read from it
0cells of the map it votes in
81citing 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.

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3 · Its place in the literature

Who cites it

81 citing papers in PubMed.

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21 more citing papers are in PubMed but not listed here.

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

15 authors.

Yanqiu Huang *State Key Laboratory of Systems Medicine for Cancer, Center for Single-Cell Omics, School of Public Health, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Yi Zhou *Pudong New District Center for Disease Control and Prevention of Shanghai, Shanghai, China.
Yadan XuState Key Laboratory of Systems Medicine for Cancer, Center for Single-Cell Omics, School of Public Health, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Xiaoyu WangDivision of Gastroenterology and Hepatology, NHC Key Laboratory of Digestive Diseases, Renji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai Institute of Digestive Disease, Shanghai, China.
Ziyi ZhouState Key Laboratory of Systems Medicine for Cancer, Center for Single-Cell Omics, School of Public Health, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Kang WuPudong New District Center for Disease Control and Prevention of Shanghai, Shanghai, China.
Qiqi MengPudong New District Center for Disease Control and Prevention of Shanghai, Shanghai, China.
Liao WangShanghai Frontiers Science Center of Degeneration and Regeneration in Skeletal System, Shanghai Key Laboratory of Orthopaedic Implants, Department of Orthopaedic Surgery, Shanghai Jiao Tong University of Medicine Affiliated Ninth People's Hospital, Shanghai, China.
Yang YangBloomberg School of Public Health, Johns Hopkins University, Baltimore, USA.
Hong GaoCommunity Health Center of Huaqiao Town, Suzhou, China.
Juan JiCommunity Health Center of Huaqiao Town, Suzhou, China.
Xu JiangShanghai Frontiers Science Center of Degeneration and Regeneration in Skeletal System, Shanghai Key Laboratory of Orthopaedic Implants, Department of Orthopaedic Surgery, Shanghai Jiao Tong University of Medicine Affiliated Ninth People's Hospital, Shanghai, China. jiangxusun@foxmail.com.
Yang YangState Key Laboratory of Systems Medicine for Cancer, Center for Single-Cell Omics, School of Public Health, Shanghai Jiao Tong University School of Medicine, Shanghai, China. yyang93@shsmu.edu.cn.
Lipeng HaoPudong New District Center for Disease Control and Prevention of Shanghai, Shanghai, China. hlpmail@126.com.
Hui WangState Key Laboratory of Systems Medicine for Cancer, Center for Single-Cell Omics, School of Public Health, Shanghai Jiao Tong University School of Medicine, Shanghai, China. huiwang@shsmu.edu.cn.

Funding

National Key R&D Program of China 2022YFD2101500National Natural Science Foundation of China 82030099National Natural Science Foundation of China 82403381Sailing Program of Shanghai Rising-Star Program 24YF2722700Science and Technology Commission of Shanghai Municipality 22DZ2303000Shanghai Public Health System Construction Three-Year Action Plan GWVI-11.1-43
6 · The paper itself

Abstract

backgroundAmong hypertensive cohorts across different nations, the relationship between the triglyceride-glucose index (TyG) and its conjunction with obesity metrics in relation to cardiovascular disease (CVD) incidence and mortality remains to be elucidated.

methodsThis study enrolled 9,283, 164,357, and 5,334 hypertensives from the National Health and Nutrition Examination Survey (NHANES), UK Biobank (UKBB), and Shanghai Pudong cohort. The related outcomes for CVD were defined by multivariate Cox proportional hazards models, Generalized Additive Models and Mendelian randomization analysis. Mediation analysis explored the mediating role of inflammatory markers in the above relationships.

resultsFive measures of insulin resistance were linked to CVD and related death in a U-shaped pattern, with the highest group having different risk increases. Higher glucose triglyceride-waist height ratio (TyG-WHTR) was linked to higher all-cause mortality (UKBB: HR 1.21, 95%CI 1.16-1.26, NHANES: HR 1.17, 95%CI 1.00-1.36), CVD mortality (UKBB: HR 1.36, 95%CI 1.23-1.49, NHANES: HR 1.32, 95%CI 1.00-1.72) risks. In the China Pudong cohort, higher triglyceride/high-density lipoprotein-cholesterol (TG/HDL_C) ratio was associated with higher risks of CVD and stroke (HR 1.31, 95%CI 1.00-1.73 and 1.67, 1.06-2.63). Inflammation markers like systemic inflammatory response index (SIRI) and C-reactive protein (CRP) partially explained these links, with CRP having a stronger effect. Genetically predicted TyG was also linked to stroke (OR 1.26, 95%CI 1.10-1.45) risk.

conclusionsAn elevated TyG index and its related indices are significantly correlated with an increased risk of CVD and related mortality across three national cohorts. These indices are anticipated to serve as valid predictors of incident CVD and mortality in individuals with hypertension.

Indexed as

BiomarkersBlood GlucoseCardiovascular DiseasesHypertensionInflammation MediatorsNutrition SurveysObesityTriglyceridesAdultAgedBlood PressureChinaFemaleHumansIncidenceInflammationBiomarkersBlood GlucoseInflammation MediatorsTriglyceridesAdverse cardiovascular eventsInflammatory markersMendelian randomizationObesity indicatorsTG/HDL_C ratioTriglyceride-glucose index

Identifiers

PMID39780176
PMCPMC11716003

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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.