ArticleFrontiers in cardiovascular medicine2025
Diagnostic value of triglyceride-rich lipoprotein cholesterol for coronary artery lesions and its predictive significance for long-term prognosis in elderly patients with coronary heart disease.
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
16 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Objective: To assess the diagnostic and prognostic value of triglyceride-rich lipoprotein cholesterol (TRL-C) in patients with coronary artery disease in the elderly. Methods: This study enrolled 220 patients with coronary artery disease in the elderly undergoing coronary angiography at Tianjin Chest Hospital (January-December 2020) with a four-year follow-up. Coronary lesions were classified as mild (SYNTAX score 1-22) or moderate-to-severe (score ≥23). Logistic regression analyzed TRL-C's association with lesion severity, while Cox regression evaluated its predictive capacity for all-cause mortality. Results: For coronary lesion severity prediction, TRL-C-based models achieved AUCs of 0.76 (95% CI: 0.68-0.85) and 0.77 (95% CI: 0.64-0.90) in training and validation sets, respectively, with decision curve analysis (DCA) confirming clinical utility. For all-cause mortality prediction, models demonstrated higher discriminative performance, with training and validation AUCs of 0.94 (95% CI: 0.89-0.99) and 0.92 (95% CI: 0.86-0.99), respectively, supported by favorable DCA results. Conclusion: TRL-C strongly predicts both coronary lesion severity and long-term mortality in patients with coronary artery disease in the elderly, offering a potential biomarker for risk stratification and personalized management.
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.