Table 1 Summary of primary research question and model type
Presenter | Institution leading the analysis | Date model last updated | Model type | Primary research question | Published (Y/N) and bibliography reference if any |
|---|---|---|---|---|---|
Nora Pashayan | University College London | 2021 | Life-table model | In risk-targeted breast cancer (BC) screening, what are the optimal risk thresholds that could improve the benefit-harm balance and cost-effectiveness of the breast screening programme? | Y [23] |
Rikesh Bhatt | University College London | 2022 | Multistate model and microsimulation | Which are the optimal screening risk-stratified strategies by varying starting age, ending age and frequency of screening compared with no screening or current screening? | N |
Harry Hill | University of Sheffield | 2024 | Decision-analytic (individual-level discrete event simulation) | What is the cost-effectiveness of eight proposals for risk-stratified screening compared with both the current UK screening programme and no national screening? | Y [22] |
Fiona J. Gilbert | University of Cambridge | 2022 | MIRAI image risk prediction model | Can information from mammogram be used to predict who will develop BC in next 5Â years? | N |
Antonis Antoniou | University of Cambridge | 2024, CanRisk Releases | BC risk prediction model | How can we personalise BC risk based on the combined effects of established risk factors for the disease? | |
Stuart Wright | The University of Manchester | 2023 | Decision-analytic (individual-level discrete event simulation) | Evaluation of a Risk-Stratified National Breast Screening Programme in the United Kingdom: An updated cost-effectiveness analysis. (To note, model results were unpublished at the time of the meeting but are now available in a pre-print/pre-peer review paper) | Y [27] |