Evidence map›Paper›PMID 40048041›Full record

ArticleBreast cancer research and treatment2025

Perceptions of breast cancer risk after breast density notification in a population-based screening program.

Dorinda 't Hart, Ross Marriott, Jennifer Stone

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In one paragraph

Article in Breast cancer research and treatment, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

3 authors.

Dorinda 't HartSchool of Population and Global Health, University of Western Australia, 35 Stirling Highway, Crawley, Perth, WA, 6009, Australia.ORCID http://orcid.org/0000-0001-7677-1838
Ross MarriottSchool of Population and Global Health, University of Western Australia, 35 Stirling Highway, Crawley, Perth, WA, 6009, Australia.ORCID http://orcid.org/0000-0002-8805-8498
Jennifer StoneSchool of Population and Global Health, University of Western Australia, 35 Stirling Highway, Crawley, Perth, WA, 6009, Australia. jennifer.stone@uwa.edu.au.ORCID http://orcid.org/0000-0001-5077-0124

Funding

Cancer Council Australia APP1085750
6 · The paper itself

Abstract

backgroundDespite increasing evidence to support risk-based breast cancer screening, individuals' understanding of personal risk is not well understood. This study compares women's perceptions of risk to their estimated risk, and examines factors associated with perceived risk, including breast density notification, within a population-based screening program.

methodsA survey of 5784 women measured their perceived risk via three questions: a number from 0 to 100 (numeric), a category from very low to very high (verbal), a comparative category relative to an average woman (comparative). Descriptive analyses assessed correlations between perceived risk variables and estimated risk (using the Gail Model), and modelled relationships using K-fold cross-validation. A Graded Response Model was used to obtain an index of unobserved (latent) overall perceived risk from the three questions. Multivariable modelling was used to investigate factors associated with overall perceived risk.

resultsMost participants perceived themselves as being at neither high nor low risk, although perceived risk was higher than estimated risk, on average. All three perceived risk measures were positively correlated with each other and with estimated risk. Overall perceived risk was weakly associated with estimated risk (adjusted R

conclusionIndividuals' understanding of breast cancer risk is poor. New strategies are needed to improve education and awareness of personal risk.

Indexed as

Breast DensityBreast NeoplasmsHealth Knowledge, Attitudes, PracticeAdultAgedEarly Detection of CancerFemaleHumansMammographyMass ScreeningMiddle AgedPerceptionRisk AssessmentRisk FactorsSurveys and QuestionnairesBreast cancerBreast densityLatent variable analysisPerceived riskPersonal riskRisk factors

Identifiers

PMID40048041
PMCPMC12006211

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.