ArticleHeart and vessels2023
Aortic valve and aortic root calcifications for predicting major adverse cardiovascular events: NADESICO study.
Article in Heart and vessels, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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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.
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Who cites it
10 citing papers in PubMed, 13 citations in OpenAlex.
- Toll-like receptor 9 promotes aortic chondrogenesis and calcification in apolipoprotein E-deficient mice.Heart and vessels · 2026Article
- Opportunistic automated aortic valve calcification assessment in low-cost, screening CT calcium score exams.Scientific reports · 2026Article
- Incidental Finding of Coronary and Non-Coronary Artery Calcium: What Do Clinicians Need To Know?Current atherosclerosis reports · 2025Review
- Aortic annulus reconstruction with bovine pericardium during aortic valve replacement for severe calcific aortic stenosis.Journal of cardiothoracic surgery · 2025Article
- Long-term Major Adverse Cardiac Event Prediction by Computed Tomography-derived Plaque Measures and Clinical Parameters Using Machine Learning.Internal medicine (Tokyo, Japan) · 2025Article
- Development of a predictive model for postoperative major adverse cardiovascular events in elderly patients undergoing major abdominal surgery.BMC surgery · 2024Article
- Clinical impact of cardiovascular calcifications on stroke incidence in primary prevention: analysis in NADESICO study.Heart and vessels · 2024Article
- Aortic Valve Calcium Score: Applications in Clinical Practice and Scientific Research-A Narrative Review.Journal of clinical medicine · 2024Review
- Predictive value of valvular calcification for the recurrence of persistent atrial fibrillation after radiofrequency catheter ablation.Clinical cardiology · 2024Article
- Combination of coronary CT angiography, FFRClinical cardiology · 2023Article
Corrections and comments
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Authors and funding
5 authors at 1 institution in 1 country.
Funding
Abstract
To assess aortic valve calcification (AVC) and aortic root calcification (ARC) and to examine their usefulness for predicting major adverse cardiovascular events (MACE). This multicenter prospective cohort study recruited 1187 patients suspected of coronary artery disease (CAD) who underwent coronary computed tomography. MACE included cardiovascular death, myocardial infarction, stroke, revascularization and hospitalization for unstable angina, heart failure or aortic disease. Cox proportional hazard model and C-statistic were used to assess mutual associations between Framingham risk score, coronary artery calcification (CAC) and AVC or ARC with incident MACE. A total of 980 patients (mean age, 65 ± 7 years; female, 45.8%) with assessment of AVC and ARC Agatston scores were analyzed. Among them, 86 developed MACE during a median follow-up of 4.04 years. Cox proportional hazard analyses showed that the presence or severity of AVC and ARC was significantly associated with MACE development after adjusting the CAC Agatston score. Compared with the model of Framingham risk score alone, C-statistics of the model adding AVC or ARC Agatston score to Framingham risk score increased (ΔC-statistic; + 0.013 or + 0.032, respectively). However, they were not superior to the model adding CAC Agatston (ΔC-statistic; - 0.077 and - 0.058, respectively). AVC or ARC on the top of CAC was a predictive factor for increased MACE in patients with suspected CAD. However, an additional model of AVC or ARC score to Framingham risk score was not as effective as that of CAC Agatston score.
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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.