ReviewThe international journal of cardiovascular imaging2011
Novel QCA methodologies and angiographic scores.
Review in The international journal of cardiovascular imaging, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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
11 citing papers in PubMed.
- Impact of Coronary Artery Disease Severity Assessed With the SYNTAX Score on Outcomes Following Transcatheter Aortic Valve Replacement.Journal of the American Heart Association · 2017Trial
- Clinical Significance of Optical Coherence Tomography-Guided Percutaneous Coronary Intervention for In-Stent Restenosis Within Drug-Eluting Stents: Impact on Patient Outcomes.Journal of the American Heart Association · 2024Article
- Deep learning prediction of quantitative coronary angiography values using myocardial perfusion images with a CZT camera.Journal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology · 2023Article
- Article
- Stent visualization methods to guide percutaneous coronary interventions and assess long-term patency.World journal of cardiology · 2021Review
- Applying Deep Neural Networks over Homomorphic Encrypted Medical Data.Computational and mathematical methods in medicine · 2020Article
- Comparative cath-lab assessment of coronary stenosis by radiology technician, junior and senior interventional cardiologist in patients treated with coronary angioplasty.Interventional medicine & applied science · 2014Article
- Angiographic validation of the American College of Cardiology Foundation-the Society of Thoracic Surgeons Collaboration on the Comparative Effectiveness of Revascularization Strategies study.Circulation. Cardiovascular interventions · 2014Article
- Cardiovascular imaging 2011 in the International Journal of Cardiovascular Imaging.The international journal of cardiovascular imaging · 2012Review
- QCA, IVUS and OCT in interventional cardiology in 2011.Cardiovascular diagnosis and therapy · 2011Review
- QCA editorial.The international journal of cardiovascular imaging · 2011Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Coronary angiography remains the gold-standard method for evaluating coronary artery disease and interventional treatments. As percutaneous coronary interventions have advanced, quantitative coronary angiography (QCA) techniques have also evolved in order to provide more accurate assessments of these therapies. Improvements have been made at each step of the QCA process from image acquisition to vessel analysis. In addition, multiple scoring systems have been developed in order to utilize QCA data, both alone and in conjunction with clinical factors, to better stratify patient risk. This article will review the recent advancements in QCA techniques and outcome prediction models.
Indexed as
Identifiers
21337026What 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.