Evidence map›Paper›PMID 42536349›Full record

ArticleCancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology2026

Implementing a Risk-Stratified National Breast Screening Programme in the United Kingdom: A Model-Based Cost-effectiveness Analysis.

Stuart J Wright, Joe Hilton, Gabriel Rogers, Ewan Gray, Anna Donten, Lorna McWilliams, D Gareth R Evans, David P French, Katherine Payne

Abstract read
In one paragraph

Article in Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Stuart J WrightManchester Centre for Health Economics, Division of Population Health, Health Services Research and Primary Care, School of Health Sciences, Faculty of Biology, Medicine and Health, The University of Manchester, Manchester, United Kingdom.ORCID 0000-0002-4064-7998
Joe HiltonManchester Centre for Health Economics, Division of Population Health, Health Services Research and Primary Care, School of Health Sciences, Faculty of Biology, Medicine and Health, The University of Manchester, Manchester, United Kingdom.ORCID 0000-0002-2787-3827
Gabriel RogersManchester Centre for Health Economics, Division of Population Health, Health Services Research and Primary Care, School of Health Sciences, Faculty of Biology, Medicine and Health, The University of Manchester, Manchester, United Kingdom.ORCID 0000-0001-9339-7374
Ewan GrayIndependent Health Economics Consultant, Edinburgh, United Kingdom.ORCID 0000-0003-3840-5268
Anna DontenManchester Centre for Health Economics, Division of Population Health, Health Services Research and Primary Care, School of Health Sciences, Faculty of Biology, Medicine and Health, The University of Manchester, Manchester, United Kingdom.ORCID 0000-0002-4896-6002
Lorna McWilliamsManchester Biomedical Research Centre, The University of Manchester, Manchester, United Kingdom.ORCID 0000-0002-6414-2732
D Gareth R EvansManchester Breast Centre, Manchester Cancer Research Centre, University of Manchester, Manchester, United Kingdom.ORCID 0000-0002-8482-5784
David P FrenchManchester Breast Centre, Manchester Cancer Research Centre, University of Manchester, Manchester, United Kingdom.ORCID 0000-0002-7663-7804
Katherine PayneManchester Centre for Health Economics, Division of Population Health, Health Services Research and Primary Care, School of Health Sciences, Faculty of Biology, Medicine and Health, The University of Manchester, Manchester, United Kingdom.ORCID 0000-0002-3938-4350

Funding

National Institute for Health and Care Research (NIHR) NIHR203308National Institute for Health and Care Research (NIHR) RP-PG-1214-20016Wellcome TrustWellcome Trust (WT) 226922/Z/23/Z
6 · The paper itself

Abstract

backgroundRisk-stratified breast screening, in which women are offered different screening intervals based on their breast cancer risk, has been proposed as a way to improve the benefits of screening in the United Kingdom National Breast Screening Programme (UK-NBSP). The aim of this study was to explore the cost-effectiveness of potential risk-stratified breast screening strategies in the UK-NBSP.

methodsAn existing validated discrete event simulation model (MANC-RISK-SCREEN) was used to evaluate the cost-effectiveness of 3 risk-stratified NBSPs (risk 1, risk 2, and risk 3) compared with the current UK-NBSP, 2-yearly screening, and no screening [lifetime horizon; health service perspective; costs (£; at 2024 prices)]. MANC-RISK-SCREEN was modified to account for bias in risk prediction and allocation to risk categories (risk misclassification). Uncertainty in the results due to model inputs was quantified using probabilistic sensitivity analysis and one-way sensitivity analyses.

resultsAt a cost-effectiveness threshold of £20,000 per quality-adjusted life year, 2-yearly screening was most likely to be cost-effective, followed by a risk-stratified approach whereby women at high risk (>8% 10-year risk) were screened annually and women at moderate risk (5%-8% 10-year risk) biannually. When risk misclassification was accounted for, the ranking of risk-stratified screening strategies improved relative to universal strategies.

conclusionsIf 2-yearly screening is infeasible due to resource constraints, implementing a risk-stratified approach in the existing NBSP in the United Kingdom would be a cost-effective use of healthcare resources. IMPACT: Implementation of risk-stratified breast screening in the UK national screening program has the potential to improve cancer detection at a reasonable additional resource use and cost.

Indexed as

Breast NeoplasmsEarly Detection of CancerMass ScreeningAgedCost-Benefit AnalysisCost-Effectiveness AnalysisFemaleHumansMiddle AgedQuality-Adjusted Life YearsRisk AssessmentUnited Kingdom

Identifiers

PMID42536349
PMCPMC13628088

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.