Trial reportEuropean heart journal2024
Atherosclerosis quantification and cardiovascular risk: the ISCHEMIA trial.
Trial report in European heart journal, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT07353762 (Coronary Imaging and Metabolic Indicators-Based Risk Prediction Model for Coronary Artery Disease), which is not on this map. Cited by 42 papers, 1 of them a synthesis that pooled it.
What it found
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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.
Coronary Imaging and Metabolic Indicators-Based Risk Prediction Model for Coronary Artery Disease:A Retrospective and Prospective Cohort Study
Who cites it
42 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Circulating Lycopene and β-Carotene Levels Are Inversely Associated with Carotid Intima-Media Thickness: A Systematic Review and Meta-Analysis.Nutrients · 2026Pooled it
- Coronary Plaque Progression After Androgen Deprivation Therapy in Men With Prostate Cancer: A Randomized Clinical Trial.JAMA cardiology · 2026Trial
- Coronary plaque burden and computed tomography-derived fractional flow reserve are predictors of 5-year mortality in peripheral artery disease patients with no known coronary artery disease.Journal of vascular surgery cases and innovative techniques · 2026Article
- Notoginsenoside R1 Alleviates Macrophage Inflammatory Responses via Modulating the JAK1/STAT3 Pathway.Journal of cellular biochemistry · 2026Article
- Association of AI-assisted quantitative coronary plaque burden and CT-derived fractional flow reserve with major adverse cardiovascular events.BMC medical imaging · 2026Article
- Artificial intelligence-guided quantitative coronary CT assessment to rule-in or rule-out myocardial ischaemia.European heart journal. Cardiovascular Imaging · 2026Article
- Cinematic rendering in CT angiography: a pictorial review of clinical applications.Insights into imaging · 2026Article
- Mitigating CT number variability between scanners, tube potentials, and patient sizes using spectral CT virtual monoenergetic imaging.Physics in medicine and biology · 2026Article
- Comparison of Clinical Outcomes Between Incomplete and Complete Revascularization in NSTEMI Patients With Multivessel Disease.JACC. Asia · 2026Article
- First scan, then treat: 10 years of the SCOT-HEART study.European heart journal supplements : journal of the European Society of Cardiology · 2026Article
- Coronary plaque burden assessed by coronary CT angiography in individuals with type 1 diabetes and healthy controls.The international journal of cardiovascular imaging · 2026Article
- Biological Cardiovascular Age Derived from Coronary CTA Reports Using a Large Language Model: A Novel Predictor of Major Adverse Cardiovascular Events?Diagnostics (Basel, Switzerland) · 2026Article
- Quantitative Coronary Atherosclerotic Plaque Burden From CCTA and the Benefit From Lipid-Lowering Medication.Circulation. Cardiovascular imaging · 2026Observational
- Prognostic impact of high-risk plaque morphology and impaired physiology in untreated non-culprit coronary lesions: a systematic review and meta-analysis.International journal of cardiology. Heart & vasculature · 2026Article
- Coronary CT angiography-derived epicardial coronary volume to left ventricular mass ratio associated with myocardial ischemic events in patients with type 2 diabetes mellitus.BMC cardiovascular disorders · 2026Article
- Innovations In Artificial Intelligence-Guided Atherosclerosis Cardiovascular Imaging: From Detection to Prognosis.Current atherosclerosis reports · 2026Review
- AI-Driven Quantitative Coronary CT Angiography in Suspected Coronary Artery Disease: Multicenter CONFIRM2 Registry.JACC. Advances · 2026Article
- Coronary CT angiography evaluation with artificial intelligence for individualized medical treatment of atherosclerosis: a Consensus Statement from the QCI Study Group.Nature reviews. Cardiology · 2026Review
- Exploring Ceramide C16:0 as a Novel Biomarker and Therapeutic Target for Atherosclerosis.Journal of the American Heart Association · 2026Review
- Efficacy and safety of Shenqi Yangxin formula in patients with stable coronary artery disease based on CCTA: rationale, design, and study protocol for a randomized, double-blind, placebo-controlled study.Frontiers in cardiovascular medicine · 2026Article
Corrections and comments
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Authors and funding
25 authors.
Funding
Abstract
BACKGROUND AND
aimsThe aim of this study was to determine the prognostic value of coronary computed tomography angiography (CCTA)-derived atherosclerotic plaque analysis in ISCHEMIA.
methodsAtherosclerosis imaging quantitative computed tomography (AI-QCT) was performed on all available baseline CCTAs to quantify plaque volume, composition, and distribution. Multivariable Cox regression was used to examine the association between baseline risk factors (age, sex, smoking, diabetes, hypertension, ejection fraction, prior coronary disease, estimated glomerular filtration rate, and statin use), number of diseased vessels, atherosclerotic plaque characteristics determined by AI-QCT, and a composite primary outcome of cardiovascular death or myocardial infarction over a median follow-up of 3.3 (interquartile range 2.2-4.4) years. The predictive value of plaque quantification over risk factors was compared in an area under the curve (AUC) analysis.
resultsAnalysable CCTA data were available from 3711 participants (mean age 64 years, 21% female, 79% multivessel coronary artery disease). Amongst the AI-QCT variables, total plaque volume was most strongly associated with the primary outcome (adjusted hazard ratio 1.56, 95% confidence interval 1.25-1.97 per interquartile range increase [559 mm3]; P = .001). The addition of AI-QCT plaque quantification and characterization to baseline risk factors improved the model's predictive value for the primary outcome at 6 months (AUC 0.688 vs. 0.637; P = .006), at 2 years (AUC 0.660 vs. 0.617; P = .003), and at 4 years of follow-up (AUC 0.654 vs. 0.608; P = .002). The findings were similar for the other reported outcomes.
conclusionsIn ISCHEMIA, total plaque volume was associated with cardiovascular death or myocardial infarction. In this highly diseased, high-risk population, enhanced assessment of atherosclerotic burden using AI-QCT-derived measures of plaque volume and composition modestly improved event prediction.
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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.