Development and validation of a cardiovascular disease risk-prediction model using population health surveys: the Cardiovascular Disease Population Risk Tool …

DG Manuel, M Tuna, C Bennett, D Hennessy, L Rosella… - Cmaj, 2018 - Can Med Assoc
BACKGROUND: Routinely collected data from large population health surveys linked to
chronic disease outcomes create an opportunity to develop more complex risk-prediction …

Cardiovascular Disease Population Risk Tool (CVDPoRT): predictive algorithm for assessing CVD risk in the community setting. A study protocol

M Taljaard, M Tuna, C Bennett, R Perez, L Rosella… - BMJ open, 2014 - bmjopen.bmj.com
Introduction Recent publications have called for substantial improvements in the design,
conduct, analysis and reporting of prediction models. Publication of study protocols, with …

Development and validation of cardiovascular risk prediction equations in 76 000 people with known cardiovascular disease

A Holt, B Batinica, J Liang, A Kerr… - European Journal of …, 2024 - academic.oup.com
Aims Multiple health administrative databases can be individually linked in Aotearoa New
Zealand, using encrypted identifiers. These databases were used to develop cardiovascular …

Development and validation of alternative cardiovascular risk prediction equations for population health planning: a routine health data linkage study of 1.7 million …

S Mehta, R Jackson, R Pylypchuk… - International journal …, 2018 - academic.oup.com
Background Cardiovascular disease (CVD) risk prediction equations are primarily used in
clinical settings to inform individual risk management decisions. We sought to develop and …

Cardiovascular risk assessment: a global perspective

D Zhao, J Liu, W Xie, Y Qi - Nature Reviews Cardiology, 2015 - nature.com
An important strategy in primary prevention of cardiovascular diseases (CVD) is the early
identification of high-risk individuals. Effective implementation of a strategy to identify these …

External validation of two Framingham cardiovascular risk equations and the pooled cohort equations: a nationwide registry analysis

C Wallisch, G Heinze, C Rinner, G Mundigler… - International journal of …, 2019 - Elsevier
Background Cardiovascular prevention guidelines advocate the use of statistical risk
equations to predict individual cardiovascular risk. However, predictive accuracy and clinical …

Re-estimation improved the performance of two Framingham cardiovascular risk equations and the pooled cohort equations: a nationwide registry analysis

C Wallisch, G Heinze, C Rinner, G Mundigler… - Scientific reports, 2020 - nature.com
Equations predicting the risk of occurrence of cardiovascular disease (CVD) are used in
primary care to identify high-risk individuals among the general population. To improve the …

Validation of the general Framingham Risk Score (FRS), SCORE2, revised PCE and WHO CVD risk scores in an Asian population

SS Kasim, N Ibrahim, S Malek, KS Ibrahim… - The Lancet Regional …, 2023 - thelancet.com
Background Cardiovascular risk prediction models incorporate myriad CVD risk factors.
Current prediction models are developed from non-Asian populations, and their utility in …

The art of cardiovascular risk assessment

J Khambhati, M Allard‐Ratick, D Dhindsa… - Clinical …, 2018 - Wiley Online Library
Cardiovascular disease (CVD) remains the leading cause of death in the United States.
Healthcare expenditures have been principally allocated toward treatment of CVD at the end …

Prediction of cardiovascular risk using Framingham, ASSIGN and QRISK2: how well do they predict individual rather than population risk?

TP van Staa, M Gulliford, ESW Ng, B Goldacre… - PloS one, 2014 - journals.plos.org
Background The objective of this study was to evaluate the performance of risk scores
(Framingham, Assign and QRISK2) in predicting high cardiovascular disease (CVD) risk in …