Evidence mapPaperPMID 41767391Full record

ArticleFrontiers in endocrinology2026

Association of high sensitivity C-reactive protein-triglyceride glucose index and chronic kidney disease: a cross-sectional study.

Fengxu Zhang, Zhengfang Wang, Han Zhang

Abstract read
In one paragraph

Article in Frontiers in endocrinology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

3 authors.

Fengxu ZhangHealth Management Center, Beijing Aerospace General Hospital, Beijing, China.
Zhengfang WangHealth Management Center, Beijing Aerospace General Hospital, Beijing, China.
Han ZhangHealth Management Center, Beijing Aerospace General Hospital, Beijing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Chronic kidney disease (CKD) represents a significant global health burden. Its pathogenesis is closely linked to a state of metabolic inflammation, involving insulin resistance and chronic low-grade inflammation. The high-sensitivity C-reactive protein-triglyceride glucose index (CTI) is a novel composite biomarker integrating inflammatory and metabolic information, yet its association with CKD in the general population remains unclear. Objective: This study aimed to investigate the cross-sectional association between the CTI and the prevalence of CKD in a health examination population. Methods: A total of 10-287 adults who underwent routine health check-ups were included. The CTI was calculated as the product of high-sensitivity C-reactive protein (hs-CRP) and the triglyceride-glucose (TyG) index. CKD was defined as an estimated glomerular filtration rate (eGFR) <60 mL/min/1.73 m². Logistic regression models were used to assess the association of CTI (as a continuous variable and in quartiles) with CKD. Diagnostic performance was evaluated using the area under the receiver operating characteristic curve (AUC). The shape of the association and its heterogeneity were explored using restricted cubic splines and subgroup analyses. Results: A total of 163 (1.58%) participants were identified as CKD. After full adjustment for confounders, each unit increase in CTI was associated with a 2.25-fold increased odds of CKD (OR = 2.25, 95%CI: 1.66-3.06). Compared to participants in the lowest CTI quartile, those in the highest quartile had a 2.17-fold higher risk of CKD (OR = 2.17, 95% CI: 1.25-3.76; Conclusion: In a health examination population, a higher CTI level was independently and nonlinearly associated with an increased prevalence of CKD, and it showed better diagnostic performance than individual inflammatory or metabolic markers alone. The CTI may serve as a useful tool for identifying individuals at high risk for CKD, especially for early risk stratification in specific subgroups.

Indexed as

Blood GlucoseC-Reactive ProteinRenal Insufficiency, ChronicTriglyceridesAdultBiomarkersCross-Sectional StudiesFemaleGlomerular Filtration RateHumansMaleMiddle AgedPrevalenceRisk FactorsBiomarkersBlood GlucoseC-Reactive ProteinTriglyceridesCKDCross-sectional studyctiHs-CRPinsulin resistance

Identifiers

PMID41767391
PMCPMC12945800

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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.