ArticleBMC public health2026
Associations of cumulative exposure and dynamic patterns of the C-reactive protein-triglyceride-glucose index with cardiometabolic multimorbidity in middle-aged and elderly Chinese: a nationwide cohort study.
Article in BMC public health, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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.
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.
Who cites it
1 citing paper in PubMed.
- Associations between the C-reactive protein-triglyceride-glucose index and its derived indices and the incidence and progression of cardiometabolic multimorbidity in participants with metabolic dysfunction-associated steatotic liver disease: a large-scale prospective cohort study.Cardiovascular diabetology · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
Abstract
backgroundWith the rising prevalence of cardiometabolic multimorbidity (CMM), it has become a significant public health issue affecting the health of middle-aged and elderly populations. The C-reactive protein-triglyceride-glucose index (CTI), as a composite biomarker integrating inflammatory and metabolic information, currently exhibits unclear associations with CMM risk. This study aimed to examine the association of cumulative exposure and longitudinal changes of the CTI with the risk of CMM in middle-aged and older Chinese adults.
methodsThis longitudinal study used data from the China Health and Retirement Longitudinal Study (CHARLS). Cox regression and restricted cubic spline (RCS) models were employed to assess the association between cumulative CTI (cuCTI) and CMM risk. The area under the ROC curve (AUC) was computed to evaluate the predictive performance of different indicators. Participants were classified into three groups based on CTI changes using K-means clustering. Subgroup and sensitivity analyses were conducted to test the robustness of the results.
resultThe study included 4,461 participants, among whom 514 (11.5%) developed CMM. CMM risk increased with higher cuCTI levels. In the multivariable-adjusted Cox regression model, participants in the highest tertile (Q3) had a 146% greater risk of CMM than those in the lowest tertile (Q1) (HR = 2.46, 95% CI: 1.83–3.31, P < 0.001). RCS analysis indicated a nonlinear relationship between cuCTI and CMM risk (P for nonlinearity = 0.015). K-means clustering identified three distinct CTI longitudinal changes. Both the moderate growth change cluster (Cluster 1) and the persistent high-risk change cluster (Cluster 2) were associated with significantly elevated CMM risks (HR = 1.89, 95% CI: 1.47–2.44; HR = 2.37, 95% CI: 1.73–3.24, respectively).
conclusionThis study demonstrates that both cuCTI and changes in CTI are associated with the risk of CMM, and that a high level of cuCTI increases CMM risk in middle-aged and older Chinese adults.
Indexed as
Identifiers
What Socratic holds
Registered trials
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.