Evidence map›Paper›PMID 41053803›Full record

ArticleCardiovascular diabetology2025

Associations of cumulative exposure and dynamic trajectories of the C-reactive protein-triglyceride-glucose index with incident stroke in middle-aged and older Chinese adults: a longitudinal analysis based on CHARLS.

Yibo Yang, Aihua Liu

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Article in Cardiovascular diabetology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 43 papers.

0numbers the graph read from it
0cells of the map it votes in
43citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

43 citing papers in PubMed.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

2 authors.

Yibo YangPeople's Hospital of Ningxia Hui Autonomous Region, Ningxia Medical University, Yinchuan, China.
Aihua LiuPeople's Hospital of Ningxia Hui Autonomous Region, Ningxia Medical University, Yinchuan, China. liuaihuadoctor@163.com.

Funding

Natural Science Foundation of China 81771233Ningxia Key Scientific and Technological Achievement Transformation Project 2024CJE09005Ningxia Natural Science Foundation Key Project 2024AAC02066
6 · The paper itself

Abstract

backgroundThe C-Reactive Protein-Triglyceride-Glucose Index (CTI) has been proposed as a novel biomarker for insulin resistance and inflammation. However, research on the relationship between CTI changes and stroke is limited. This study aims to investigate the association between changes in CTI and stroke risk.

methodsParticipants were drawn from the China Health and Retirement Longitudinal Study (CHARLS). Stroke was defined as self-reported stroke. K-means clustering analysis was used to classify CTI changes, and cumulative CTI (cuCTI) was calculated as follows: (CTI

resultsA total of 4,364 participants were included in the study, among whom 323 (7.4%) experienced a stroke. The risk of stroke increased with higher levels of cuCTI. In the multivariable-adjusted model, Cox regression analysis showed that, compared with the lowest quartile (Q1), participants in the highest quartile (Q4) had a significantly increased risk of stroke by 103% (HR = 1.90, 95% CI: 1.30-2.78, P < 0.001). Furthermore, stroke risk increased progressively across ascending cuCTI quartiles (P for trend < 0.001). RCS analysis demonstrated a linear association between cuCTI and stroke risk (for nonlinearity, p < 0.001). K-means clustering identified three distinct trajectories of CTI variation. Participants with moderate and elevated CTI levels (HR = 1.53, 95% CI: 1.17-2.00, P = 0.001) and those with high CTI levels showing a slow increasing trend (HR = 1.75, 95% CI: 1.25-2.48, P < 0.001) had a significantly higher risk of stroke.

conclusionThis study demonstrates that both cuCTI and CTI changes are associated with stroke risk in middle-aged and older adults, particularly for those with consistently high CTI levels, which are linked to a significantly increased stroke risk. Monitoring long-term CTI changes and maintaining relatively low levels may help prevent stroke in this population.

Indexed as

Blood GlucoseC-Reactive ProteinInflammation MediatorsStrokeAgedAge FactorsBiomarkersChinaEast Asian PeopleFemaleHumansIncidenceLongitudinal StudiesMaleMiddle AgedPrognosisBiomarkersBlood GlucoseC-Reactive ProteinInflammation MediatorsCHARLSC-reactive protein-triglyceride-glucose indexDynamic changesInflammationInsulin resistanceK-means clusteringStroke

Identifiers

PMID41053803
PMCPMC12502363

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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.