Journal article

Development and validation of QRISK3 risk prediction algorithms to estimate future risk of cardiovascular disease: prospective cohort study

Abstract:: Objectives To develop and validate updated QRISK3 prediction algorithms to estimate the 10 year risk of cardiovascular disease in women and men accounting for potential new risk factors.Design Prospective open cohort study.Setting General practices in England providing data for the QResearch database.Participants 1309 QResearch general practices in England: 981 practices were used to develop the scores and a separate set of 328 practices were used to validate the scores. 7.89 million patients...
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Publication status:: Published

Peer review status:: Peer reviewed

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APA Style

Hippisley-Cox, J., Coupland, C., & Brindle, P. (2017). Development and validation of QRISK3 risk prediction algorithms to estimate future risk of cardiovascular disease: prospective cohort study. British Medical Journal, 357(2099).

MLA Style

Hippisley-Cox, J., et al. “Development and Validation of QRISK3 Risk Prediction Algorithms to Estimate Future Risk of Cardiovascular Disease: Prospective Cohort Study.” British Medical Journal, vol. 357, no. 2099, BMJ Publishing Group, 2017.

Chicago Style

Hippisley-Cox, J, C Coupland, and P Brindle. 2017. “Development and Validation of QRISK3 Risk Prediction Algorithms to Estimate Future Risk of Cardiovascular Disease: Prospective Cohort Study.” British Medical Journal 357 (2099).
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Files:: bmj.j2099.full.pdf

(Preview, Version of record, pdf, 1.6MB, Terms of use)

Publisher copy:: 10.1136/bmj.j2099

Authors

+ Hippisley-Cox, J More by this author

Institution:: University of Oxford
Division:: Medical Sciences Division
Department:: Primary Care Health Sciences
Oxford college:: St Anne's College
Role:: Author
ORCID:: 0000-0002-2479-7283

+ Coupland, C More by this author

Role:: Author

+ Brindle, P More by this author

Role:: Author

Publisher:: BMJ Publishing Group
Journal:: British Medical Journal More from this journal
Volume:: 357
Issue:: 2099
Publication date:: 2017-05-23
Acceptance date:: 2017-04-21
DOI:: 10.1136/bmj.j2099
EISSN:: 1756-1833
ISSN:: 0959-8138
Pmid:: 28536104

Language:: English
Pubs id:: pubs:972856
UUID:: uuid:0e6ef864-2d85-454d-a013-c0d89b2f931e
Local pid:: pubs:972856
Source identifiers:: 972856
Deposit date:: 2019-02-24

Terms of use

Copyright date:: 2017
Notes:: This article is open access

Licence:: CC Attribution (CC BY)

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