Journal article
Clinical prediction models incorporating blood test trend for cancer detection: a systematic review, meta-analysis, and critical appraisal
- Abstract:
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Background: Blood tests used to identify patients at increased risk of undiagnosed cancer are commonly used in isolation, primarily by monitoring whether results fall outside the normal range. Some prediction models incorporate changes over repeated blood tests (or trends) to improve individualized cancer risk identification, as relevant trends may be confined within the normal range.
Objective: Our aim was to critically appraise existing diagnosti...
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- Publication status:
- Published
- Peer review status:
- Peer reviewed
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(Preview, Version of record, pdf, 329.1KB, Terms of use)
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- Publisher copy:
- 10.2196/70275
Authors
- Publisher:
- JMIR Publications
- Journal:
- JMIR Cancer More from this journal
- Volume:
- 11
- Article number:
- e70275
- Publication date:
- 2025-06-27
- Acceptance date:
- 2025-05-05
- DOI:
- EISSN:
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2369-1999
- Language:
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English
- Keywords:
- Pubs id:
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2125021
- Local pid:
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pubs:2125021
- Deposit date:
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2025-05-19
- ARK identifier:
Terms of use
- Copyright holder:
- Virdee et al.
- Copyright date:
- 2025
- Rights statement:
- © Pradeep S Virdee, Kiana K Collins, Claire Friedemann Smith, Xin Yang, Sufen Zhu, Nia Roberts, Jason L Oke, Clare Bankhead, Rafael Perera, FD Richard Hobbs, Brian D Nicholson. Originally published in JMIR Cancer (https://cancer.jmir.org), 27.6.2025. This is an open-access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in JMIR Cancer, is properly cited. The complete bibliographic information, a link to the original publication on https://cancer.jmir.org/, as well as this copyright and license information must be included.
- Licence:
- CC Attribution (CC BY)
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