ReviewInterventional cardiology (London, England)2018
Risk Stratification in Patients with Coronary Artery Disease: A Practical Walkthrough in the Landscape of Prognostic Risk Models.
Review in Interventional cardiology (London, England), 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
12 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Systematic review and meta-analysis of prognostic models in Southeast Asian populations with acute myocardial infarction.Frontiers in cardiovascular medicine · 2022Pooled it
- Review
- Graph neural networks for automatic extraction and labeling of the coronary artery tree in CT angiography.Journal of medical imaging (Bellingham, Wash.) · 2024Article
- Assessment and Management of Older Adults Undergoing PCI, Part 1: AJACC. Advances · 2023Article
- Prediction of 2-year major adverse cardiac events from myocardial perfusion scintigraphy and clinical risk factors.Journal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology · 2022Article
- Article
- Predicting Long-Term Mortality in Patients with Angina across the Spectrum of Dysglycemia: A Machine Learning Approach.Diagnostics (Basel, Switzerland) · 2021Article
- Establishment and validation of a risk model for prediction of in-hospital mortality in patients with acute ST-elevation myocardial infarction after primary PCI.BMC cardiovascular disorders · 2020Observational
- Diagnosis and risk stratification of coronary artery disease in Yemeni patients using treadmill test.Journal of family medicine and primary care · 2020Article
- Differential Network Analysis Reveals Metabolic Determinants Associated with Mortality in Acute Myocardial Infarction Patients and Suggests Potential Mechanisms Underlying Different Clinical Scores Used To Predict Death.Journal of proteome research · 2020Article
- Non-invasive Risk Stratification for Coronary Artery Disease: Is It Time for Subclassifications?Current cardiology reports · 2019Review
- Mobile Health Augmented Cardiac Rehabilitation (MCard) in Post-Acute Coronary Syndrome Patients: A randomised controlled trial protocol.Pakistan journal of medical sciencesArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Although a combination of multiple strategies to prevent and treat coronary artery disease (CAD) has led to a relative reduction in cardiovascular mortality over recent decades, CAD remains the greatest cause of morbidity and mortality worldwide. A variety of individual factors and circumstances other than clinical presentation and treatment type contribute to determining the outcome of CAD. It is increasingly understood that personalised medicine, by taking these factors into account, achieves better results than "one-size-fitsall" approaches. In recent years, the multiplication of risk scoring systems for CAD has generated some degree of uncertainty regarding whether, when and how predictive models should be adopted when making clinical decisions. Against this background, this article reviews the most accepted risk models for patients with evidence of CAD to provide practical guidance within the current landscape of tools developed for prognostic risk stratification.
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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.