Evidence map›Paper›PMID 39356295›Full record

ArticleCancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology2024

Are Women's Breast Cancer Risk Appraisals in Line with Updated Clinical Risk Estimates Communicated? Results from a UK Family History Risk and Prevention Clinic.

Victoria G Woof, Anthony Howell, Lynne Fox, Lorna McWilliams, Dafydd Gareth R Evans, David P French

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, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

6 authors.

Victoria G WoofUniversity of Manchester, Manchester, United Kingdom.ORCID 0000-0003-4069-5188
Anthony HowellUniversity of Manchester, Manchester, United Kingdom.ORCID 0000-0002-6233-719X
Lynne FoxFamily History Risk and Prevention Clinic, Prevent Breast Cancer Unit, Nightingale Centre, Wythenshawe Hospital, Manchester University NHS Foundation Trust, Manchester, United Kingdom.
Lorna McWilliamsUniversity of Manchester, Manchester, United Kingdom.ORCID 0000-0002-6414-2732
Dafydd Gareth R EvansUniversity of Manchester, Manchester, United Kingdom.ORCID 0000-0002-8482-5784
David P FrenchUniversity of Manchester, Manchester, United Kingdom.ORCID 0000-0002-7663-7804

Funding

Department of Health IS-BRC-1215-20007Department of Health NIHR203308Department of Health RP-PG-0707-10031Manchester Biomedical Research Centre (BRC) IS-BRC-1215-20007Medical Research Council (MRC) MR/N013751/1Programme Grants for Applied Research (PGfAR) RP-PG-0707-10031
6 · The paper itself

Abstract

backgroundThe incorporation of breast density and a polygenic risk score (PRS) into breast cancer risk prediction models can alter previously communicated risk estimates. Previous research finds that risk communication does not usually change personal risk appraisals. This study aimed to examine how women from the family history risk study appraise their breast cancer risk following communication of an updated risk estimate.

methodsIn the family history risk study, 323 women attended a consultation to receive an updated breast cancer risk estimate. A subset (n = 190) completed a questionnaire, assessing their subjective breast cancer risk appraisals, satisfaction with the information provided, and cancer-related worry. One hundred and three were notified of a decreased risk, 34 an increased risk, and 53 an unchanged risk.

resultsWomen's subjective risk appraisals were in line with the updated risk estimates provided, with age, a PRS, and breast density explaining most of the variance in these appraisals. Those notified of an increased risk demonstrated higher subjective risk perceptions compared with those whose risk remained unchanged or decreased.

conclusionsWomen's subjective breast cancer risk appraisals are amenable to change following updated risk feedback, with new information breast density and a PRS accepted and integrated into existing risk appraisals. Trust in the service, the analogies, and visual communication strategies used may have positively influenced the integration of this new information. IMPACT: Further research is warranted to assess whether similar patterns emerge for other illnesses and in different clinical contexts to determine the best strategies for communicating updated risk estimates.

Indexed as

Breast NeoplasmsAdultAgedBreast DensityCommunicationFemaleGenetic Predisposition to DiseaseHumansMiddle AgedRisk AssessmentRisk FactorsSurveys and QuestionnairesUnited Kingdom

Identifiers

PMID39356295
PMCPMC7616752

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.