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Evaluation of a prediction model for colorectal cancer: retrospective analysis of 2.5 million patient records

Abstract:

Earlier detection of colorectal cancer greatly improves prognosis, largely through surgical excision of neoplastic polyps. These include benign adenomas which can transform over time to malignant adenocarcinomas. This progression may be associated with changes in full blood count indices. An existing risk algorithm derived in Israel stratifies individuals according to colorectal cancer risk using full blood count data, but has not been validated in the UK. We undertook a retrospective analysi...

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Publication status:
Published
Peer review status:
Peer reviewed
Version:
Publisher's version

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Publisher copy:
10.1002/cam4.1183

Authors


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Institution:
University of Oxford
Division:
Medical Sciences Division
Department:
NDORMS; CSM
Role:
Author
More by this author
Institution:
University of Oxford
Division:
Medical Sciences Division
Department:
Primary Care Health Sciences
Role:
Author
More by this author
Institution:
University of Oxford
Division:
Medical Sciences Division
Department:
Primary Care Health Sciences
Role:
Author
More by this author
Institution:
University of Oxford
Division:
Medical Sciences Division
Department:
Primary Care Health Sciences
Role:
Author
More by this author
Institution:
University of Oxford
Division:
Medical Sciences Division
Department:
Nuffield Department of Population Health
Role:
Author
NIHR Oxford Biomedical Research Centre More from this funder
Publisher:
Wiley Publisher's website
Journal:
Cancer Medicine Journal website
Volume:
6
Issue:
10
Pages:
2453-2460
Publication date:
2017-09-21
Acceptance date:
2017-08-12
DOI:
EISSN:
2045-7634
ISSN:
2045-7634
Pubs id:
pubs:731343
URN:
uri:eec98b9a-89fc-47e4-9d2c-8f4eb05bc033
UUID:
uuid:eec98b9a-89fc-47e4-9d2c-8f4eb05bc033
Local pid:
pubs:731343
Paper number:
10

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