Evidence map›Paper›PMID 41255642›Full record

ArticleMediators of inflammation2025

Nonlinear Association Between the C-Reactive Protein-Triglyceride-Glucose Index and Rheumatoid Arthritis Risk: The Mediating Role of Body Mass Index.

Haiping Xie, Qinwen Liu, Xuefeng Xu, Yanfang Wu, Jianwen Liu, DianTian Lin, Meng Zhou, Zhihan Chen, Fei Gao, Liangchun Cai

Abstract read
In one paragraph

Article in Mediators of inflammation, 2025. 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

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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Review
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

10 authors.

Haiping XieDepartment of Rheumatology and Immunology, Shengli Clinical Medical College of Fujian Medical University, Fujian Provincial Hospital, Fuzhou University Affiliated Provincial Hospital, Fuzhou 350001, China.
Qinwen LiuDepartment of Endocrinology, Shengli Clinical Medical College of Fujian Medical University, Fujian Provincial Hospital, Fuzhou University Affiliated Provincial Hospital, Fuzhou 350001, China.
Xuefeng XuDepartment of Gastroenterology, Shengli Clinical Medical College of Fujian Medical University, Fujian Provincial Hospital, Fuzhou University Affiliated Provincial Hospital, Fuzhou 350001, China.
Yanfang WuDepartment of Rheumatology and Immunology, Shengli Clinical Medical College of Fujian Medical University, Fujian Provincial Hospital, Fuzhou University Affiliated Provincial Hospital, Fuzhou 350001, China.
Jianwen LiuDepartment of Rheumatology and Immunology, Shengli Clinical Medical College of Fujian Medical University, Fujian Provincial Hospital, Fuzhou University Affiliated Provincial Hospital, Fuzhou 350001, China.
DianTian LinDepartment of Rheumatology and Immunology, Shengli Clinical Medical College of Fujian Medical University, Fujian Provincial Hospital, Fuzhou University Affiliated Provincial Hospital, Fuzhou 350001, China.
Meng ZhouDepartment of Rheumatology and Immunology, Shengli Clinical Medical College of Fujian Medical University, Fujian Provincial Hospital, Fuzhou University Affiliated Provincial Hospital, Fuzhou 350001, China.
Zhihan ChenDepartment of Rheumatology and Immunology, Shengli Clinical Medical College of Fujian Medical University, Fujian Provincial Hospital, Fuzhou University Affiliated Provincial Hospital, Fuzhou 350001, China.ORCID https://orcid.org/0000-0002-4279-4553
Fei GaoDepartment of Rheumatology and Immunology, Shengli Clinical Medical College of Fujian Medical University, Fujian Provincial Hospital, Fuzhou University Affiliated Provincial Hospital, Fuzhou 350001, China.ORCID https://orcid.org/0000-0002-1004-4977
Liangchun CaiDepartment of Endocrinology, Shengli Clinical Medical College of Fujian Medical University, Fujian Provincial Hospital, Fuzhou University Affiliated Provincial Hospital, Fuzhou 350001, China.ORCID https://orcid.org/0009-0004-3796-7618

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Rheumatoid arthritis (RA) is a growing public health concern with rising incidence worldwide. The C-reactive protein-triglyceride-glucose index (CTI), a composite marker of inflammation and insulin resistance, has been linked to various metabolic disorders, but its role in RA remains unclear. This study aimed to examine the association between CTI and RA risk and assess whether body mass index (BMI) mediates this relationship. Methods: We analyzed data from 4292 participants using the 2005-2010 National Health and Nutrition Examination Survey (NHANES). CTI was computed and stratified into quartiles. Multivariable logistic regression models assessed the association between CTI and RA after adjusting for demographic, socioeconomic, lifestyle, and clinical confounders. Restricted cubic spline (RCS) functions were employed to test for nonlinear patterns. Additionally, subgroup analyses examined effect modification, and mediation analysis quantified the indirect effect through BMI. Results: Elevated CTI values were independently linked to higher odds of RA. After full adjustment, each one-unit rise in CTI corresponded to a 45% increase in RA odds (OR = 1.45, 95% CI: 1.22-1.73, Conclusions: CTI is nonlinearly and independently associated with RA risk, partly through BMI, highlighting its potential as a biomarker linking metabolic and inflammatory pathways.

Indexed as

Arthritis, RheumatoidBlood GlucoseBody Mass IndexC-Reactive ProteinTriglyceridesAdultAgedFemaleHumansLogistic ModelsMaleMiddle AgedNutrition SurveysRisk FactorsBlood GlucoseC-Reactive ProteinTriglyceridesbody mass indexC-reactive protein-triglyceride-glucose indexmediation analysisNHANESrheumatoid arthritis

Identifiers

PMID41255642
PMCPMC12623103

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.