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![PDF] Cardiovascular disease risk prediction equations in 400 000 primary care patients in New Zealand: a derivation and validation study | Semantic Scholar](https://d3i71xaburhd42.cloudfront.net/3fea771d121996e34581c58fa523919c3cf61ce4/4-Table2-1.png "PDF] Cardiovascular disease risk prediction equations in 400 000 primary care patients in New Zealand: a derivation and validation study | Semantic Scholar")
PDF] Cardiovascular disease risk prediction equations in 400 000 primary care patients in New Zealand: a derivation and validation study | Semantic Scholar
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Cardiovascular disease risk prediction equations in 400 000 primary care patients in New Zealand: a derivation and validation study - The Lancet
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Risk prediction tools in cardiovascular disease prevention: A report from the ESC Prevention of CVD Programme led by the European Association of Preventive Cardiology (EAPC) in collaboration with the Acute Cardiovascular Care
Fillable Online sld New Zealand Cardiovascular Risk Calculator Fax Email Print - pdfFiller
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Cardiovascular Disease Risk Assessment (Updated 2013) New Zealand Primary Care Handbook 2012
Patient reactions to a web-based cardiovascular risk calculator in type 2 diabetes: a qualitative study in primary care | British Journal of General Practice
A unified national cardiovascular disease (CVD) risk generator is required to address equity in the management of CVD risk in clinical practice in New Zealand
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bestpractice Decision Support - Modules - CVD Management
Welcome to the New Zealand Heart Foundation - Heart Foundation
New cardiovascular disease risk prediction tool for Indigenous Australians—based on real Indigenous data : Melbourne School of Population and Global Health
![PDF] Cardiovascular disease risk prediction equations in 400 000 primary care patients in New Zealand: a derivation and validation study | Semantic Scholar](https://d3i71xaburhd42.cloudfront.net/3fea771d121996e34581c58fa523919c3cf61ce4/5-Table3-1.png "PDF] Cardiovascular disease risk prediction equations in 400 000 primary care patients in New Zealand: a derivation and validation study | Semantic Scholar")