Journal article
Preferences for multi-cancer tests (MCTs) in primary care: discrete choice experiments of general practitioners and the general public in England
- Abstract:
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Background
Multi-Cancer tests (MCTs) hold potential to detect cancer across multiple sites and some predict the origin of the cancer signal. Understanding stakeholder preferences for MCTs could help to develop appealing MCTs, encouraging their adoption.
Methods
Discrete Choice Experiments (DCEs) conducted online in England.
Results
GPs (n = 251) and the general public (n = 1005) preferred MCTs that maximised negative predictive value, positive predictive value, and could test for a larger number of cancer sites. A reduction of the NPV of 4.0% was balanced by a 12.5% increase in the PPV for people and a 32.5% increase in PPV for GPs. People from ethnic minority backgrounds placed less importance on whether MCTs can detect multiple cancers. People with more knowledge and experience of cancer placed substantial importance on the MCT being able to detect cancer at an early stage. Both GPs and members of the public preferred the MCT reported in the SYMPLIFY study to FIT, PSA, and CA125, and preferred the SYMPLIFY MCT to 91% (GPs) and 95% (people) of 2048 simulated MCTs.
Conclusions
These findings provide a basis for designing clinical implementation strategies for MCTs, according to their performance characteristics.
- Publication status:
- Published
- Peer review status:
- Peer reviewed
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- Publisher copy:
- 10.1038/s41416-025-03063-9
Authors
+ Cancer Research UK
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- Funder identifier:
- https://ror.org/054225q67
- Grant:
- CTRQQR-2021\1000002
- Publisher:
- Springer Nature
- Journal:
- British Journal of Cancer More from this journal
- Volume:
- 133
- Issue:
- 3
- Pages:
- 394–403
- Publication date:
- 2025-06-02
- Acceptance date:
- 2025-05-12
- DOI:
- EISSN:
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1532-1827
- ISSN:
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0007-0920
- Language:
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English
- Pubs id:
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2127773
- Local pid:
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pubs:2127773
- Deposit date:
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2025-06-03
- ARK identifier:
Terms of use
- Copyright holder:
- Buckell et al.
- Copyright date:
- 2025
- Rights statement:
- © The Author(s) 2025, corrected publication 2025. Open Access. This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder.
- Notes:
- A correction to this article was published on 01 December 2025, at https://doi.org/10.1038/s41416-025-03213-z
- Licence:
- CC Attribution (CC BY)
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