ReviewJournal of clinical medicine2024
The Predictive Value of Aortic Calcification on Computed Tomography for Major Cardiovascular Events.
Review in Journal of clinical medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.
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
8 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Thoracic Aorta Calcification and Risk of All-Cause Mortality and Cardiovascular Outcomes:Sultan Qaboos University medical journal · 2026Pooled it
- Associations of the PREVENT Score with coronary artery and thoracic aortic calcification among South Asian Americans.American journal of preventive cardiology · 2026Article
- Diagnostic value of a combined model for acute aortic syndrome based on internal migration of calcification on non-contrast computed tomography.Journal of thoracic disease · 2026Article
- Prognostic Impact of Mitral Annular Calcification and Aortic Arch Calcification in Severe Aortic Stenosis Patients Undergoing Aortic Valve Replacement.Korean circulation journal · 2026Article
- Computed Tomography Coronary Angiography as a Gatekeeper for Invasive Coronary Assessment Before Transcatheter Aortic Valve Implantation.Medicina (Kaunas, Lithuania) · 2026Review
- Machine Learning-Enhanced TCAB Score for Predicting Postoperative Ischemic Stroke After CABG.Journal of the American Heart Association · 2026Article
- Effects of moderate physical training program in post-myocardial infarction patients with arterial hypertension.European journal of translational myology · 2025Article
- Clinical Impact of CT-Based FFR in Everyday Cardiology: Bridging Computation and Decision-Making.Biomedicines · 2025Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
As the prevalence of cardiovascular disease continues to increase, early identification of patients at high risk of major adverse cardiovascular events (MACE) using reliable diagnostic modalities is important. Transcatheter aortic valve implantation (TAVI) is a minimally invasive percutaneous procedure used to replace the aortic valve with a bioprosthetic one, often without the need for surgery. Extra coronary calcification in the ascending and/or descending thoracic aorta, aortic arch, and abdominal aorta has recently been identified as a method to quantify the extent of atherosclerotic cardiovascular disease. However, its definitive role in the prediction of MACE remains unclear. We performed a comprehensive review to summarize the current literature on the diagnostic and predictive value of thoracic and abdominal aortic calcification, as quantified in computed tomography, for the association, risk stratification, and prediction of MACE and after TAVI procedures. Despite increasing evidence, the predictive role of thoracic calcification still remains unproven, with a need for carefully tailored studies to confirm these findings.
Indexed as
Identifiers
What OpenQuestion 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 OpenQuestion graph.