Evidence map›Paper›PMID 40016715›Full record

ArticleBMC public health2025

Societal views on using risk-based innovations to inform cancer screening and referral policies: findings from three community juries.

Rebecca A Dennison, Reanna J Clune, Joanna Tung, Stephen D John, Sowmiya A Moorthie, Jo Waller, Juliet A Usher-Smith

Abstract read
In one paragraph

Article in BMC public health, 2025. 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. Review
  2. Assessing the Quality of Community Jury Deliberations in Online and In-Person Community Juries Using a Deductive Coding Framework.Health expectations : an international journal of public participation in health care and health policy · 2025
    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

7 authors.

Rebecca A DennisonDepartment of Public Health and Primary Care, Primary Care Unit, University of Cambridge, Cambridge, CB2 0SR, UK. rl423@medschl.cam.ac.uk.
Reanna J CluneDepartment of Public Health and Primary Care, Primary Care Unit, University of Cambridge, Cambridge, CB2 0SR, UK.
Joanna TungDepartment of Public Health and Primary Care, Primary Care Unit, University of Cambridge, Cambridge, CB2 0SR, UK.
Stephen D JohnDepartment of History and Philosophy of Science, University of Cambridge, Cambridge, CB2 3RH, UK.
Sowmiya A MoorthiePHG Foundation, University of Cambridge, Cambridge, CB1 8RN, UK.
Jo Waller *Wolfson Institute of Population Health, Mary University of London, London, Queen, E1 4NS, UK.
Juliet A Usher-Smith *Department of Public Health and Primary Care, Primary Care Unit, University of Cambridge, Cambridge, CB2 0SR, UK.

Funding

Cancer Research UK PICATR-2022/100003National Institute for Health and Care Research NIHR300861
6 · The paper itself

Abstract

backgroundRecent advances mean that innovations are emerging that enable better stratification of individuals based on their risk of cancer so that screening or diagnostic investigations can be targeted to those at greatest need. We explored the views of the public, from a societal perspective, of using such risk-based innovations to identify people's cancer risk and allocating healthcare accordingly.

methodsWe conducted three community juries, each with 7-9 participants. Participants were informed about the topic and potential novel risk-based innovations through a series of presentations from experts and discussions. Polygenic risk scores, geodemographic segmentation, continuous monitoring of biomarkers, minimally invasive tests, artificial intelligence analysis of medical records, and wearable devices were used as examples. The participants then deliberated over the research questions before reporting their verdicts on the acceptability of these novel data-based approaches in principle. Transcripts were analysed using codebook thematic analysis.

resultsAll juries found that the proposed risk-based approaches to cancer healthcare were, in general, acceptable. Primarily this was because the approaches would enable use of information in a positive and constructive way. However, there were a number of qualifiers or caveats. In particular, participants highlighted the necessity of using accurate and robust data with a well-evidenced association with cancer risk. They also expressed concerns about unintended consequences such as for insurance, scams or erosion of personal liberty, and the burden to participate in data collection across society. All agreed that opting-out must be straightforward.

conclusionsInformed members of the public supported the concept of using innovations to estimate cancer risk and inform healthcare. Their priorities for accuracy, data security, participation burden, and personal liberty and choice tended to overlap with those of developers and policymakers. Work to ready these innovations for implementation should continue, with the public's priorities accounted for in their development and dissemination in order to address any unintended consequences upfront.

Indexed as

Early Detection of CancerNeoplasmsPublic OpinionReferral and ConsultationAdultFemaleHumansMaleMiddle AgedRisk AssessmentArtificial IntelligenceCancer ScreeningCommunity juryGenetic RiskHealth PolicyPersonalized MedicineRisk Factors

Identifiers

PMID40016715
PMCPMC11869612

What Socratic holds

Textmetadata
LicenceCC BY
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 Socratic graph.