Prediction of Cardiovascular Risk Using Framingham, ASSIGN and QRISK2: How Well Do They Predict Individual Rather than Population Risk?

• Tjeerd-Pieter van Staa ,

  * E-mail: tjeerd.vanstaa@manchester.ac.uk

  Affiliations Health eResearch Centre, Farr Institute for Health Informatics Research, University of Manchester, Manchester, United Kingdom, Department of non-communicable diseases, London School of Hygiene & Tropical Medicine, London, United Kingdom, Utrecht Institute for Pharmaceutical Sciences, Utrecht University, Utrecht, the Netherlands

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• Martin Gulliford,

  Affiliation Primary Care and Public Health Sciences, King's College, London, United Kingdom

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• Edmond S.-W. Ng,

  Affiliation Department of non-communicable diseases, London School of Hygiene & Tropical Medicine, London, United Kingdom

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• Ben Goldacre,

  Affiliation Department of non-communicable diseases, London School of Hygiene & Tropical Medicine, London, United Kingdom

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• Liam Smeeth

  Affiliation Department of non-communicable diseases, London School of Hygiene & Tropical Medicine, London, United Kingdom

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