ArticleReviews in cardiovascular medicine2026
Computed Tomography-Based Radiomics Provides New Insights Into Associations Between Pericoronary Fat Characteristics and Low-Density Lipoprotein Cholesterol.
Article in Reviews in cardiovascular medicine, 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.
- Targeting the Gut-Heart Axis in Atherosclerosis: Microbial Metabolites, Molecular Mechanisms, and Precision Therapeutics.Probiotics and antimicrobial proteins · 2026Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
15 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Pericoronary adipose tissue (PCAT) is an established imaging biomarker of coronary inflammation; however, the influence of low-density lipoprotein cholesterol (LDL-C) remains unclear. This study aimed to explore the associations between PCAT and LDL-C using coronary computed tomography angiography (CCTA)-based radiomics. Methods: This retrospective study stratified 150 patients undergoing CCTA into two groups according to serum LDL-C levels (≥3.4 mmol/L vs. <3.4 mmol/L). A total of 288 radiomic features were extracted from the PCAT surrounding the left anterior descending artery, left circumflex artery, and right coronary artery. After the initial filtering using the Wilcoxon rank-sum test, univariate logistic regression and Pearson correlation analyses were applied to identify features associated with elevated LDL-C levels. Key features were further validated using a gradient boosting machine (GBM) ensemble model combined with Shapley Additive Explanations (SHAP) analysis. Results: A total of 11 radiomic features were significantly associated with elevated LDL-C levels ( Conclusion: Elevated LDL-C levels are significantly associated with increased spatial heterogeneity and high gray-level clustering in PCAT, thereby providing imaging-based evidence supporting the association between LDL-C and PCAT.
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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.