ArticleiScience2026
TyG and RC combined with CVD risk in CKM syndrome: A national cohort study.
Article in iScience, 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.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Although the triglyceride-glucose index (TyG, insulin resistance) and remnant cholesterol (RC, lipid metabolism) are cardiovascular disease (CVD) risk factors in cardiovascular-kidney-metabolic (CKM) syndrome, their joint predictive power warrants further investigation. We utilized data from the China Health and Retirement Longitudinal Study (2020). Using participants with low TyG (<8.3) and low RC (<13.9) as the reference, individuals with both high TyG and high RC showed significantly elevated CVD risk. Over a median follow-up of 9.0 years, 1744 participants (23.2%) in CKM Stages 0-3 developed CVD. Participants with both high TyG and high RC had the highest risk (HR = 1.35). The TyG-RC index was created by multiplying TyG and RC. Each 1-SD increase in TyG-RC was associated with higher CVD risk, exhibiting an inverse J-shaped relationship. Time-independent ROC analysis demonstrated TyG-RC has superior predictive value compared to TyG-BMI, TyG-WC, TyG-WHtR, eGDR and METSIR. For enhanced CVD risk assessment, the joint assessment TyG-RC index offers a more effective tool than using TyG or RC individually.
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.