Evidence mapPaperPMID 41547799Full record

ArticleCardiovascular diabetology2026

The predictive value of C-reactive protein-triglycerides-glucose index-waist-to-height ratio for stroke: a nationwide cohort study.

Zhongqing Zhou, Jing Yang, Jiazhe Hou, Lijuan Zhang

Abstract readComparative Study
In one paragraph

Article in Cardiovascular diabetology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

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3 · Its place in the literature

Who cites it

9 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Zhongqing ZhouClinical Research Unit, Shanghai Disabled Persons' Federation Key Laboratory of Intelligent Rehabilitation Assistive Devices and Technologies, Shanghai Yangzhi Rehabilitation Hospital (Shanghai Sunshine Rehabilitation Center), Tongji University School of Medicine, Tongji University, 50 Chifeng Road, Yangpu, Shanghai, 201619, China.
Jing YangClinical Research Unit, Shanghai Disabled Persons' Federation Key Laboratory of Intelligent Rehabilitation Assistive Devices and Technologies, Shanghai Yangzhi Rehabilitation Hospital (Shanghai Sunshine Rehabilitation Center), Tongji University School of Medicine, Tongji University, 50 Chifeng Road, Yangpu, Shanghai, 201619, China.
Jiazhe HouClinical Research Unit, Shanghai Disabled Persons' Federation Key Laboratory of Intelligent Rehabilitation Assistive Devices and Technologies, Shanghai Yangzhi Rehabilitation Hospital (Shanghai Sunshine Rehabilitation Center), Tongji University School of Medicine, Tongji University, 50 Chifeng Road, Yangpu, Shanghai, 201619, China.
Lijuan ZhangClinical Research Unit, Shanghai Disabled Persons' Federation Key Laboratory of Intelligent Rehabilitation Assistive Devices and Technologies, Shanghai Yangzhi Rehabilitation Hospital (Shanghai Sunshine Rehabilitation Center), Tongji University School of Medicine, Tongji University, 50 Chifeng Road, Yangpu, Shanghai, 201619, China. zhangxiaoyi@tongji.edu.cn.

Funding

Health Management Outstanding Talents of Shanghai Association of Rehabilitation Medical 2023JGYQ08National clinical key specialty construction project of China Z155080000004National Natural Science Foundation of China 81872720Shanghai Research Center of Rehabilitation Medicine 2023ZZ02027
6 · The paper itself

Abstract

backgroundCombining biomarkers and anthropometric indicators is a common way to improve predictive efficacy. Yet the effect of the C-reactive protein-triglycerides-glucose index (CTI) and its derivatives on stroke is unknown. This study aims to explore their association with stroke and compare their predictive value.

methodsA total of 10,070 participants from the China Health and Retirement Longitudinal Study (CHARLS) were included. Covariate selection was performed using the Boruta algorithm and complementary methods. The predictive performance of various indicators was compared via metrics including area under the curve (AUC), net reclassification improvement (NRI), and integrated discrimination improvement (IDI) to determine the optimal predictive indicator. Subsequently, Cox proportional hazards models, trajectory pattern analysis, restricted cubic spline (RCS) analysis, Kaplan-Meier curves were used to investigate its association with stroke.

resultsFrom 2011 to 2020, 950 participants (9.43%) experienced an incident stroke during follow-up. CTI derivatives outperformed standalone CTI in prediction, with CTI-waist-to-height ratio (CTI-WHtR) exhibiting the strongest association with stroke risk. In the fully adjusted model, each one-unit increase in CTI-WHtR linked to a 73% higher risk of stroke [odds ratio (OR) = 1.73, 95% confidence interval (CI) 1.45-2.07], and participants in the highest quartile of CTI-WHtR had more than double the risk compared with those in the lowest quartile (OR = 2.20, 95% CI 1.71-2.83). There were three distinct trajectories of CTI-WHtR over time. Compared with Cluster 1 (low value rising), Cluster 2 (stable high value) was associated with a 69% higher risk of stroke (OR = 1.69, 95% CI 1.34-2.13), and Cluster 3 (moderate value rising) with a 26% higher risk (OR = 1.26, 95% CI 1.06-1.52). A clear dose-response relationship was observed between CTI-WHtR and stroke risk, with risk increasing sharply when CTI-WHtR exceeded 2.52.

conclusionThe consistent positive linear association between CTI-WHtR and stroke risk highlights its potential utility as a clinical and public health indicator. Monitoring and maintaining optimal CTI-WHtR levels may aid in identification of individuals at elevated stroke risk. Graphical Abstract.

Indexed as

Blood GlucoseC-Reactive ProteinStrokeTriglyceridesWaist-Height RatioAgedBiomarkersChinaFemaleHumansIncidenceLongitudinal StudiesMaleMiddle AgedPredictive Value of TestsPrognosisBiomarkersBlood GlucoseC-Reactive ProteinTriglyceridesCHARLSC-reactive protein-triglycerides-glucose index-waist-to-height ratioMiddle-aged and elderlyStroke

Identifiers

PMID41547799
PMCPMC12817842

What Socratic holds

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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 Socratic graph.