ArticleFrontiers in cardiovascular medicine2025
Longitudinal TyG-BMI trajectories predict carotid atherosclerosis progression in a Chinese retrospective cohort.
Article in Frontiers in cardiovascular medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Carotid atherosclerosis (CAS) is a major precursor of ischemic stroke, underscoring the importance of early identification of reliable metabolic risk markers. Insulin resistance and metabolic dysfunction are recognized as key contributors to CAS development, and the triglyceride-glucose body mass index (TyG-BMI) has emerged as a promising surrogate biomarker. Methods: In this retrospective cohort study, we analyzed 2,329 Chinese adults who underwent serial health examinations, with a median follow-up of 1,826 days. Using latent class trajectory modeling, two distinct TyG-BMI trajectories were identified: stable (Class 1) and rising (Class 2). Results: CAS progression was observed in 46% of participants, with a higher incidence in the rising trajectory group (52.9% vs. 39.9%). Multivariable Cox regression showed that a rising TyG-BMI trajectory was independently associated with an increased risk of CAS progression (adjusted HR = 1.19, 95% CI: 1.04-1.36), particularly among younger adults (≤50 years, HR = 2.04) and women (HR = 1.88). Sensitivity analyses confirmed robustness. Extended prediction models incorporating trajectories demonstrated good calibration, higher discrimination, and greater clinical net benefit in decision curve analysis. Conclusion: These findings underscore the value of dynamic TyG-BMI monitoring in vascular risk stratification and targeted prevention. To our knowledge, this is the first large-scale study to establish the predictive value of longitudinal TyG-BMI trajectories for CAS progression in a Chinese population.
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.