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QRISK performed at least as well as the Framingham model for discrimination and was better calibrated to the UK population than either the Framingham model or ASSIGN. QRISK is likely to provide more appropriate risk estimates to help identify high risk patients on the basis of age, sex, and social deprivation. It is therefore likely to be a more equitable tool to inform management decisions and help ensure treatments are directed towards those most likely to benefit. It includes additional variables which improve risk estimates for patients with a positive family history or those on antihypertensive treatment. However, since the validation was performed in a similar population to the population from which the algorithm was derived, it potentially has a "home advantage." Further validation in other populations is therefore required.
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Julia Hippisley‐Cox
University of Nottingham
Carol Coupland
Preventive Cardiology
Yana Vinogradova
University of Nottingham
BMJ
University of Bristol
University of Nottingham
Queen Mary University of London
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Hippisley–Cox et al. (Thu,) studied this question.
synapsesocial.com/papers/69990ae5fcab04efb4ebbc9f — DOI: https://doi.org/10.1136/bmj.39261.471806.55