Evidence map›Paper›PMID 42591725›Full record

ArticleTherapeutic advances in endocrinology and metabolism2026

From traditional to novel: a national cohort study on the predictive value of C-reactive protein-triglyceride-glucose-obesity composite parameters for cardiovascular disease.

Mengjie Zhao, Xujie Wang, Xuexue Zhang, Yan Yan, Zirong Li, Fang Lu, Qiuyan Li

Abstract read
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Article in Therapeutic advances in endocrinology and metabolism, 2026. 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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1 · What the graph read from it

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Mengjie ZhaoXiyuan Hospital, China Academy of Chinese Medical Sciences, Beijing, China.ORCID https://orcid.org/0000-0002-1489-5226
Xujie WangXiyuan Hospital, China Academy of Chinese Medical Sciences, Beijing, China.
Xuexue ZhangShenzhen Traditional Chinese Medicine Hospital, Shenzhen, China.
Yan YanGraduate School, Beijing University of Chinese Medicine, Beijing, China.
Zirong LiBeijing Hospital of Traditional Chinese Medicine, Beijing, China.
Fang LuXiyuan Hospital, China Academy of Chinese Medical Sciences, Beijing 100091, China.
Qiuyan LiXiyuan Hospital, China Academy of Chinese Medical Sciences, Beijing 100091, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Cardiovascular disease (CVD) is the leading cause of mortality worldwide. The C-reactive protein-triglyceride-glucose (CTI) index captures metabolic inflammation and insulin resistance, while obesity indices reflect adiposity-related cardiometabolic risk. However, the predictive value of combining CTI with obesity indices for CVD remains unclear. Objectives: To examine the prognostic utility of CTI combined with established and novel obesity indicators for CVD, and to benchmark their predictive efficacy. Design: Nationally representative prospective cohort study. Methods: Using data from the China Health and Retirement Longitudinal Study (CHARLS), a nationally representative prospective cohort, 7847 adults aged 45 years and above without baseline CVD were enrolled. CTI was calculated from C-reactive protein, fasting blood glucose, and triglycerides (TG); each obesity index was combined with CTI to form composite parameters (CTI-body mass index (CTI-BMI), CTI-waist circumference (CTI-WC), CTI-waist-to-height ratio (CTI-WHtR), CTI-body roundness index (CTI-BRI), CTI-weight-adjusted waist index (CTI-WWI), CTI-Chinese visceral adiposity index (CTI-CVAI), CTI-a body shape index (CTI-ABSI)). We employed Cox proportional hazard models, restricted cubic spline analyses, Kaplan-Meier survival plots, ROC curve evaluations, and weighted quantile sum (WQS) regression to examine the links and prognostic utility of each metric with incident CVD across baseline and cumulative exposure tiers. Results: Over a 9-year follow-up period, 1938 new-onset CVD cases were documented. Following multivariable adjustment, each CTI-obesity composite metric showed a significant positive link to CVD risk ( Conclusion: CTI combined with obesity indices, particularly CTI-CVAI, was associated with modestly improved predictive ability for CVD risk compared with CTI alone. This parameter may offer incremental information for CVD risk stratification by integrating metabolic inflammation and visceral fat markers.

Indexed as

cardiovascular diseaseCTIinflammationinsulin resistanceobesity

Identifiers

PMID42591725
PMCPMC13462511

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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.