Evidence map›Paper›PMID 39838430›Full record

ArticleJournal of translational medicine2025

Women's preferences for testing to predict breast cancer risk - a discrete choice experiment.

Yi Wang, Peh Joo Ho, Langming Mou, Jingmei Li

Abstract read
In one paragraph

Article in Journal of translational medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
–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

5 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Review
  4. Article
  5. 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

4 authors.

Yi Wang *Saw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore, 117549, Republic of Singapore. ephwyi@nus.edu.sg.ORCID 0000-0003-1934-9926
Peh Joo HoSaw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore, 117549, Republic of Singapore.
Langming MouSaw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore, 117549, Republic of Singapore.
Jingmei Li *Genome Institute of Singapore (GIS), Agency for Science, Technology and Research (A*STAR), Singapore, 138672, Republic of Singapore.

Funding

Agency for Science, Technology and Research C211618001Precision Health Research, Singapore Clinical Implementation Pilot
6 · The paper itself

Abstract

backgroundRisk-based breast cancer screening offers a more targeted and potentially cost-effective approach in cancer detection compared to age-based screening. This study aims to understand women's preferences and willingness for undergoing risk assessment tests.

methodsA discrete choice experiment (DCE) was conducted. Six attributes were selected to construct the DCE questionnaire: one-time cost of the test, methods for reducing late-stage breast cancer, annual breast cancer screening expenses, insurance coverage for early-stage breast cancer, family risk correlation, and risk communication methods. Women aged between 21 and 59 were recruited from Singapore. Latent class analysis was performed.

resultsThree hundred twenty-eight women were included in the analysis and classified into two classes: test supporters and non-supporters. Both classes prioritised test costs and screening costs. Among non-cost attributes, the potential to reduce late-stage breast cancer diagnosis was the most influential factor. Insurance coverage increased willingness to undergo testing. Risk communication methods were not significant in influencing the decision of undergoing tests. Non-supporters were less inclined to take the test if family risk correlation was high. Younger women, married women, full-time employees, and those with a history of breast disease were more likely to be supporters. Women with a family history of breast cancer were more likely to be non-supporters.

conclusionsFinancial incentives play a notable role in increasing the uptake of risk-prediction tests. However, the programme's success depends on understanding and addressing the diverse preferences of women. While cost considerations ranked highly, additional strategies are needed to engage groups that are hesitant, particularly those with a high family risk correlation.

Indexed as

Breast NeoplasmsChoice BehaviorPatient PreferenceAdultEarly Detection of CancerFemaleHumansMiddle AgedRisk AssessmentRisk FactorsSurveys and QuestionnairesYoung AdultAdherenceAsianHeterogenous populationPolygenic risk scorePopulation healthPrecision healthPRSRisk-based screeningScreening

Identifiers

PMID39838430
PMCPMC11753052

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.