Cardiovascular disease risk prediction equations in 400 000 primary care patients in New Zealand: a derivation and validation study

2018/05/01 by Romana Pylypchuk, Sue Wells, Andrew Kerr +14 · 5 citations
Medicine · #Cardiovascular Health and Risk Factors #Heart Failure Treatment and Management #Lipoproteins and Cardiovascular Health

paper · doi:10.1016/s0140-6736(18)30664-0

crossref issued 2018/05/01 · crossref published 2018/05/01 · crossref published-print 2018/05/01 · openalex publication_date 2018/05/01 · crossref created 2018/05/04 · crossref deposited 2025/09/26 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28 · crossref indexed 2026/07/28

Citations

• Transparent Reporting of a multivariable prediction model for Individual Prognosis Or Diagnosis (TRIPOD): Explanation and Elaboration
• Evaluating the added predictive ability of a new marker: From area under the ROC curve to reclassification and beyond
• 2017 ACC/AHA/AAPA/ABC/ACPM/AGS/APhA/ASH/ASPC/NMA/PCNA Guideline for the Prevention, Detection, Evaluation, and Management of High Blood Pressure in Adults
• European guidelines on cardiovascular disease prevention in clinical practice: executive summary: Fourth Joint Task Force of the European Society of Cardiology and Other Societies on Cardiovascular Disease Prevention in Clinical Practice (Constituted by representatives of nine societies and by invited experts)
• Nonparametric Estimation from Incomplete Observations

Cited by

• Data Resource: Vascular Risk in Adult New Zealanders (VARIANZ) datasets
• Rationale, design and population description of the CREDENCE study: cardiovascular risk equations for diabetes patients from New Zealand and Chinese electronic health records
• Cardiovascular risk prediction in type 2 diabetes before and after widespread screening: a derivation and validation study
• Predicting cardiovascular disease risk across the atherosclerotic disease continuum
• Rod Jackson (epidemiologist) [wikipedia]