Journal article
Development and validation of QDiabetes-2018 risk prediction algorithm to estimate future risk of type 2 diabetes: cohort study
- Abstract:
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Objectives
To derive and validate updated QDiabetes-2018 prediction algorithms to estimate the 10 year risk of type 2 diabetes in men and women, taking account of potential new risk factors, and to compare their performance with current approaches.Design
Prospective open cohort study.Setting
Routinely collected data from 1457 general practices in England contributing to the QResearch database: 1094 were used to develo... Expand abstract
- Publication status:
- Published
- Peer review status:
- Peer reviewed
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- Files:
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(Preview, Version of record, pdf, 835.7KB, Terms of use)
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- Publisher copy:
- 10.1136/bmj.j5019
Authors
- Publisher:
- BMJ Publishing Group
- Journal:
- BMJ More from this journal
- Volume:
- 2017
- Issue:
- 359
- Article number:
- j5019
- Publication date:
- 2017-11-20
- Acceptance date:
- 2017-10-16
- DOI:
- EISSN:
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1756-1833
- ISSN:
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0959-8138
- Pmid:
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29158232
- Language:
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English
- Pubs id:
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pubs:972853
- UUID:
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uuid:21d372df-2e4b-439b-b9f8-b2c001017ee4
- Local pid:
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pubs:972853
- Source identifiers:
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972853
- Deposit date:
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2019-02-24
Terms of use
- Copyright holder:
- British Medical Journal Publishing Group
- Copyright date:
- 2017
- Notes:
- © 2017, British Medical Journal Publishing Group. This article is Open Access, published under the terms of a Creative Commons licence, CC BY-NC.
- Licence:
- CC Attribution (CC BY)
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