ReviewJournal of personalized medicine2022
Cardiovascular Risk Prediction Models and Scores in the Era of Personalized Medicine.
Review in Journal of personalized medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 62 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
62 citing papers in PubMed, 1 synthesis or guideline pooled it, 102 citations in OpenAlex.
- A Systematic Review of Artificial Intelligence Models for Time-to-Event Outcome Applied in Cardiovascular Disease Risk Prediction.Journal of medical systems · 2024Pooled it
- Systemic Sclerosis-Specific Determinants of Major Adverse Cardiovascular Events: Development of an Exploratory Cardiovascular Risk Model Beyond Traditional Risk Factors.Diagnostics (Basel, Switzerland) · 2026Article
- Beyond Traditional Risk Scores: Artificial Intelligence in Coronary Plaque Characterization and Personalized Atherosclerosis Management.Journal of cardiovascular development and disease · 2026Review
- The Effect of Covariate Adjustment for Cox Regression in Cardiovascular Outcome Trials.Therapeutic innovation & regulatory science · 2026Article
- Coronary heart disease risk factors in taxi drivers in Medellín.Occupational medicine (Oxford, England) · 2026Article
- When the sum isn't the whole - The vascular status score and its components in hypertension identification: The African PREDICT study.Journal of human hypertension · 2026Article
- 3D Convolutional Neural Network for Predicting Clinical Outcome from Coronary Computed Tomography Angiography in Patients with Suspected Coronary Artery Disease.Journal of imaging informatics in medicine · 2026Article
- Article
- Performance of PREVENT Cardiovascular Risk in Electronic Health Record-Based Clinical Practice.JAMA network open · 2026Article
- Mapping and evaluation of global and country-specific cardiovascular disease risk prediction models.Future cardiology · 2026Review
- The role of rivaroxaban in the management of coronary artery disease: an overview of five landmark clinical trials.Naunyn-Schmiedeberg's archives of pharmacology · 2026Review
- Non-traditional risk factors for myocardial infarction in adults under forty: A systematic review of emerging trends.World journal of cardiology · 2026Article
- Restricted Versus Genome-Wide Genetic Risk Scores for Coronary Artery Disease.Journal of the American Heart Association · 2026Article
- An explainable machine learning framework for cardiovascular risk prediction using structured health data.Frontiers in artificial intelligence · 2026Article
- Development of a nomogram for predicting incident heart failure and all-cause mortality in patients with chronic kidney disease: a 3-year follow-up study.Frontiers in medicine · 2026Article
- Comparison of framingham risk model, atherosclerotic cardiovascular disease risk model, and assign risk model in detecting sub-clinical atherosclerosis among DIMAMO residents, Limpopo province, South Africa.Frontiers in cardiovascular medicine · 2026Article
- Quantification of Cardiovascular Disease Risk Among Hypertensive Subjects in Active Romanian Population Using New Echocardiographic, Biological and Atherogenic Markers.Medicina (Kaunas, Lithuania) · 2025Article
- Assessment of Cardiovascular Risk and Examination of Blood Klotho Levels in Patients with Ankylosing Spondylitis.Journal of clinical medicine · 2025Article
- Regional variations in cardiovascular risk predictions: a comparative analysis of Framingham, SCORE2, and WHO models across 53 countries.Journal of global health · 2025Article
- A Potential Ratio for Detecting Subclinical Atherosclerosis: Insight into Advanced NMR Lipid Profiles in Severe Obesity.Journal of cardiovascular translational research · 2025Article
2 more citing papers are in PubMed but not listed here.
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 at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Cardiovascular disease (CVD) is the leading cause of death worldwide. Management of cardiovascular risk factors, particularly hypertension and dyslipidemia, has been shown to reduce cardiovascular morbidity and mortality. However, current guidelines recommend adjusting the intensity of blood pressure- and lipid-lowering treatment according to the cardiovascular risk of the patient. Therefore, cardiovascular risk prediction is a sine qua non for optimizing cardiovascular prevention strategies, particularly in patients without established CVD or type 2 diabetes mellitus (T2DM). As a result, several cardiovascular risk prediction equations have been developed. Nevertheless, it is still unclear which is the optimal prediction risk equation. In the present review, we summarize the current knowledge regarding the accuracy of the most widely used cardiovascular risk prediction equations. Notably, most of these risk scores have not been validated in external cohorts or were shown to over- or underestimate risk in populations other than those in which they derive. Accordingly, country-specific risk scores, where available, should be preferred for cardiovascular 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.