D. Gareth Evans
Correction To: Quantifying the effects of risk-stratified breast cancer screening when delivered in real time as routine practice versus usual screening: the BC-Predict non-randomised controlled study (NCT04359420)
Gareth Evans, D.; McWilliams, Lorna; Astley, Susan; Brentnall, Adam R.; Cuzick, Jack; Dobrashian, Richard; Duffy, Stephen W.; Gorman, Louise S.; Harkness, Elaine F.; Harrison, Fiona; Harvie, Michelle; Jerrison, Andrew; Machin, Matthew; Maxwell, Anthony J.; Howell, Sacha J.; Wright, Stuart J.; Payne, Katherine; Qureshi, Nadeem; Ruane, Helen; Southworth, Jake; Fox, Lynne; Bowers, Sarah; Hutchinson, Gillian; Thorpe, Emma; Ulph, Fiona; Woof, Victoria; Howell, Anthony; French, David P.
Authors
Lorna McWilliams
Susan Astley
Adam R. Brentnall
Jack Cuzick
Richard Dobrashian
Stephen W. Duffy
Louise S. Gorman
Elaine F. Harkness
Fiona Harrison
Michelle Harvie
Andrew Jerrison
Matthew Machin
Anthony J. Maxwell
Sacha J. Howell
Stuart J. Wright
Katherine Payne
Professor NADEEM QURESHI nadeem.qureshi@nottingham.ac.uk
Clinical Professor
Helen Ruane
Jake Southworth
Lynne Fox
Sarah Bowers
Gillian Hutchinson
Emma Thorpe
Fiona Ulph
Victoria Woof
Anthony Howell
David P. French
Abstract
BACKGROUND: Risk stratification as a routine part of the NHS Breast Screening Programme (NHSBSP) could provide a better balance of benefits and harms. We developed BC-Predict, to offer women when invited to the NHSBSP, which collects standard risk factor information; mammographic density; and in a sub-sample, a Polygenic Risk Score (PRS).
METHODS: Risk prediction was estimated primarily from self-reported questionnaires and mammographic density using the Tyrer–Cuzick risk model. Women eligible for NHSBSP were recruited. BC-Predict produced risk feedback letters, inviting women at high risk (≥8% 10-year) or moderate risk (≥5–<8% 10-year) to have appointments to discuss prevention and additional screening.
RESULTS: Overall uptake of BC-Predict in screening attendees was 16.9% with 2472 consenting to the study; 76.8% of those received risk feedback within the 8-week timeframe. Recruitment was 63.2% with an onsite recruiter and paper questionnaire
compared to <10% with BC-Predict only (P < 0.0001). Risk appointment attendance was highest for those at high risk (40.6%); 77.5% of those opted for preventive medication.
DISCUSSION: We have shown that a real-time offer of breast cancer risk information (including both mammographic density and PRS) is feasible and can be delivered in reasonable time, although uptake requires personal contact. Preventive medication uptake in women newly identified at high risk is high and could improve the cost-effectiveness of risk stratification.
TRIAL REGISTRATION: Retrospectively registered with clinicaltrials.gov (NCT04359420).
Citation
Gareth Evans, D., McWilliams, L., Astley, S., Brentnall, A. R., Cuzick, J., Dobrashian, R., …French, D. P. (2023). Correction To: Quantifying the effects of risk-stratified breast cancer screening when delivered in real time as routine practice versus usual screening: the BC-Predict non-randomised controlled study (NCT04359420). British Journal of Cancer, https://doi.org/10.1038/s41416-023-02273-3
Journal Article Type | Addendum |
---|---|
Acceptance Date | Mar 20, 2023 |
Online Publication Date | Apr 24, 2023 |
Publication Date | Apr 24, 2023 |
Deposit Date | May 5, 2023 |
Publicly Available Date | May 5, 2023 |
Journal | British Journal of Cancer |
Print ISSN | 0007-0920 |
Electronic ISSN | 1532-1827 |
Publisher | Cancer Research UK |
Peer Reviewed | Peer Reviewed |
DOI | https://doi.org/10.1038/s41416-023-02273-3 |
Keywords | Cancer Research; Oncology |
Public URL | https://nottingham-repository.worktribe.com/output/20008568 |
Publisher URL | https://www.nature.com/articles/s41416-023-02250-w |
Additional Information | First Online: 24 April 2023 |
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Evans Br J Cancer 2023 Correction
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