BMC Proceedings (Oct 2024)

Risk stratification in breast screening workshop

  • Andrew Anderson,
  • Cristina Visintin,
  • Antonis Antoniou,
  • Nora Pashayan,
  • Fiona J. Gilbert,
  • Allan Hackshaw,
  • Rikesh Bhatt,
  • Harry Hill,
  • Stuart Wright,
  • Katherine Payne,
  • Gabriel Rogers,
  • Bethany Shinkins,
  • Sian Taylor-Phillips,
  • Rosalind Given-Wilson

DOI
https://doi.org/10.1186/s12919-024-00306-0
Journal volume & issue
Vol. 18, no. S19
pp. 1 – 9

Abstract

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Abstract Population screening for breast cancer (BC) is currently offered in the UK for women aged 50 to 71 with the aim of reducing mortality. There is additional screening within the national programme for women identified as having a very high risk of BC. There is growing interest in further risk stratification in breast screening, which would require a whole population risk assessment and the subsequent offer of screening tailored to the individual’s risk. Some women would be offered more intensive screening than others or no screening. This might provide a better balance of screening benefits and harms for each individual than the current population age-based programme alone. The UK National Screening Committee (UK NSC) is considering using decision-analytic and other models to evaluate different risk stratification screening strategies and identify remaining gaps in evidence. This paper reports the proceedings of a UK NSC workshop where experts in the field discussed both risk prediction models, as well as decision-analytic models providing a benefit-harm analysis/economic evaluation of risk-stratified screening programmes (see Table 1). The aim of the meeting was to present and discuss the current work of experts, including some data which had not been published at the time of the meeting, to inform the UK NSC. The workshop was not intended to present a balanced evaluation of how to deliver screening in future. Areas for further work identified included methods for comparing models to assess accuracy, the optimum risk assessment tools, the digital screening infrastructure, acceptability of stratification, choice of screening test and reducing inequalities. A move to risk stratification of the whole programme would require a careful phased introduction with continuing assessment of real-world evidence during deployment.

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