Evidence map›Paper›PMID 39773186›Full record

ArticleBMC cancer2025

The breast cancer genetic testing experience: probing the potential utility of an online decision aid in risk perception and decision making.

Anna Vaynrub, Brian Salazar, Yilin Eileen Feng, Harry West, Alissa Michel, Subiksha Umakanth, Katherine D Crew, Rita Kukafka

Abstract read
In one paragraph

Article in BMC cancer, 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. Article
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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

8 authors.

Anna Vaynrub *Department of Medicine, Vagelos College of Physicians and Surgeons, Columbia University Irving Medical Center, New York, NY, USA. ajv2144@cumc.columbia.edu.
Brian Salazar *Mailman School of Public Health, Columbia University Irving Medical Center, 630 West 168th St, New York, NY, 10032, USA.
Yilin Eileen FengMailman School of Public Health, Columbia University Irving Medical Center, 630 West 168th St, New York, NY, 10032, USA.
Harry WestFu Foundation School of Engineering and Applied Science, Columbia University, New York, NY, USA.
Alissa MichelHerbert Irving Comprehensive Cancer Center, Columbia University Irving Medical Center, New York, NY, USA.
Subiksha UmakanthDepartment of Biomedical Informatics, Vagelos College of Physicians and Surgeons, Columbia University Irving Medical Center, New York, NY, USA.
Katherine D CrewDepartment of Medicine, Vagelos College of Physicians and Surgeons, Columbia University Irving Medical Center, New York, NY, USA.
Rita KukafkaMailman School of Public Health, Columbia University Irving Medical Center, 630 West 168th St, New York, NY, 10032, USA.

Funding

Multicenter trial of decision support for breast cancer chemopreventionR01CA226060 · NCI · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI CREW, KATHERINE D, KUKAFKA, RITA · 2019 to 2023
$3.3M
NCI NIH HHS R01 CA226060
6 · The paper itself

Abstract

backgroundDespite the association of pathogenic variants (PVs) in cancer predisposition genes with significantly increased risk of breast cancer (BC), uptake of genetic testing (GT) remains low, especially among ethnic minorities. Our prior study identified that a patient decision aid, RealRisks, improved patient-reported outcomes (including worry and perceived risk) relative to standard educational materials. This study examined patients' GT experience and its influence on subsequent actions. We also sought to identify areas for improvement in RealRisks that would expand its focus from improved GT decision-making to understanding results.

methodsWomen enrolled in the parent randomized controlled trial were recruited and interviewed. Demographic data was collected from surveys in the parent study. Interviews were conducted, transcribed, and coded to identify recurring themes. Descriptive statistics were generated to compare the interviewed subgroup to the original study cohort of 187 women.

resultsOf the 22 women interviewed, 11 (50%) had positive GT results, 2 (9.1%) with a BRCA1/2 PV, and 9 (40.9%) with variants of uncertain significance (VUS). Median age was 40.5 years and 15 (71.4%) identified as non-Hispanic. Twenty (90.9%) reported a family history of BC, and 2 (9.1%) reported a family history of BRCA1/2 PV. The emerging themes included a preference for structured communication of GT results and the need for more actionable knowledge to mitigate BC risk, especially among patients with VUS or negative results. Few patients reported lifestyle changes following the return of their results, although they did understand that their behaviors can impact their BC risk.

conclusionsPatients preferred a structured explanation of their GT results to facilitate a more personal testing experience. While most did not change lifestyle behaviors in response to their GT results, there was a consistent call for further guidance following the initial discussion of GT results. Empowering patients, especially those with negative or VUS results, with the context to internalize the implications of their results and form accurate risk perception represents a powerful opportunity to optimize subsequent risk management strategies. Informed by this study, future work will expand RealRisks to include the return of results and decision support to navigate concrete next steps.

Indexed as

Breast NeoplasmsDecision MakingGenetic Predisposition to DiseaseGenetic TestingAdultBRCA1 ProteinBRCA2 ProteinDecision Support TechniquesFemaleGenetic CounselingHumansMiddle AgedRandomized Controlled Trials as TopicRisk AssessmentBRCA1 ProteinBRCA1 protein, humanBRCA2 ProteinBRCA2 protein, humanBRCA 1/2Breast cancerDecision aidGenetic testingPathogenic variant

Identifiers

PMID39773186
PMCPMC11706066

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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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.