ArticleEuropean heart journal supplements : journal of the European Society of Cardiology2026
New cardiovascular risk factor and clinical surrogate: epicardial fat.
Article in European heart journal supplements : journal of the European Society of Cardiology, 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.
- Association of Relative Pericoronary Adipose Tissue Attenuation with Coronary Artery Calcification Severity.Medicina (Kaunas, Lithuania) · 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
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Coronary computed tomography angiography (CCTA) has become a cornerstone in the non-invasive evaluation of coronary artery disease (CAD). Beyond defining stenosis severity, CCTA enables detailed quantification of total atherosclerotic burden, plaque composition, and imaging markers of plaque vulnerability. Recent advances-including artificial intelligence (AI)-enhanced algorithms-now allow automated and highly reproducible plaque phenotyping, with major implications for risk stratification and therapeutic monitoring. Concurrently, imaging of pericoronary adipose tissue has introduced novel biomarkers of vascular inflammation, particularly the Fat Attenuation Index and pericoronary adipose tissue attenuation. These indices independently predict adverse cardiovascular events beyond traditional risk factors. Serial imaging studies further demonstrate that lipid-lowering and anti-inflammatory therapies modulate plaque biology, promoting regression or stabilization. Integration of coronary plaque analytics, adipose tissue biology, and AI-driven risk prediction is redefining preventive cardiology and enabling increasingly individualized management strategies.
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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 OpenQuestion graph.