Back to search

Article

Comparative Validation of ASCVD, Framingham Risk Score, Globorisk, and PREVENT for 10-Year Cardiovascular Risk Prediction in the UK Biobank

2026-07-28

Abstract excerpt

<title>Abstract</title> <p>Background Cardiovascular disease (CVD) remains the leading cause of global mortality. Accurate and generalizable risk prediction models are essential for effective primary prevention. Widely used models such as the Atherosclerotic Cardiovascular Disease (ASCVD) pooled cohort equations, Framingham Risk Score (FRS), Globorisk, and the more recent Predicting Risk of cardiovascular diseas...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work
a4ebd1e0-d9e4-53f8-8b92-10ae28a496fa
DOI
10.21203/rs.3.rs-10275384/v1
Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest
Interactive article relationship graphSelect a related publication card to move it into the centre and load its closest explainable connections. Solid lines are source-backed structured connections. Dashed lines are semantic discovery signals and are not scientific evidence.
Comparative Validation of ASCVD, Framingham Risk Score, Globorisk, and PREVENT for 10-Year Cardiovascular Risk Prediction in the UK BiobankDOI 10.21203/rs.3.rs-10275384/v1
Performance and Calibration of ASCVD, Framingham, and Globorisk Models in a Large UK Biobank Cohort: A 10-Year Longitudinal Outcome AnalysisSemantic proximity
Cardiovascular risk scores for primary prevention: head-to-head validation of 16 established and contemporary modelsSemantic proximity
Appraising Cardiovascular 10-yr Risk Prediction Scores: A Rapid Systematic ReviewSemantic proximity
Actionable absolute risk prediction of atherosclerotic cardiovascular disease: a behavior-management approach based on data from 464,547 UK Biobank participantsSemantic proximity
An independent external validation of the QRISK3 cardiovascular risk prediction model applied to UK Biobank participantsSemantic proximity
Distribution of cardiovascular disease risk based on the updated 2023 guideline-recommended Australian cardiovascular disease risk algorithm and comparison with the 2012 algorithmSemantic proximity
Development and Multinational Validation of Artificial Intelligence-Enabled ASCVD Risk Stratification Using ElectrocardiogramsSemantic proximity
Development and validation of a risk prediction algorithm for high-risk populations combining genetic and conventional risk factors of cardiovascular diseaseSemantic proximity
Development and validation of decision rules models to stratify coronary artery disease, diabetes, and hypertension risk in preventive care: cohort study of returning UK Biobank participantsSemantic proximity
Cardiovascular risk prediction - a systems medicine approachSemantic proximity
Improving cardiovascular risk prediction beyond pooled cohort equations: a prospective cohort of 304,356 participantsSemantic proximity
Development and validation of a next-gen health stratification engine to determine risk for multiple cardiovascular diseasesSemantic proximity
Select a neighboring publication to make it the new centre.