Evidence map›Paper›PMID 41525075›Full record

Trial reportJAMA network open2026

Genetic Testing for All Breast Cancer Patients: The GET FACTS Randomized Clinical Trial.

Anna Weiss, Danielle Braun, Jill Stopfer, Jintong Zhao, Monica McGrath, Kaitlyn R Bradshaw, Maria Sol Rosito, Dillon Davis, Judy E Garber, Tari A King

Registry-linked trialAbstract readRandomized Controlled Trial
In one paragraph

Trial report in JAMA network open, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04245176 (Genetic Testing for All Breast Cancer Patients), which is not on this 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.

NCT04245176 nacompletednot on this map

Genetic Testing for All Breast Cancer Patients (GET FACTS)

TypeinterventionalSponsorBrigham and Women's HospitalRan2020 to 2026Enrolled400ConditionsBreast Cancer, Invasive Breast Cancer, in Situ Breast Cancer, Genetic TestingArmsStandard Genetic Counseling, Quantitative Genetic Counseling
3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Review
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

10 authors.

Anna WeissDivision of Breast Surgery, Department of Surgery, Brigham and Women's Hospital, Boston, Massachusetts.
Danielle BraunDepartment of Data Science, Dana-Farber Cancer Institute, Boston, Massachusetts.
Jill StopferDivision of Cancer Genetics and Prevention, Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts.
Jintong ZhaoDepartment of Data Science, Dana-Farber Cancer Institute, Boston, Massachusetts.
Monica McGrathDivision of Breast Surgery, Department of Surgery, Brigham and Women's Hospital, Boston, Massachusetts.
Kaitlyn R BradshawDivision of Breast Surgery, Department of Surgery, Brigham and Women's Hospital, Boston, Massachusetts.
Maria Sol RositoDepartment of Data Science, Dana-Farber Cancer Institute, Boston, Massachusetts.
Dillon DavisDivision of Cancer Genetics and Prevention, Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts.
Judy E GarberBreast Oncology Program, Dana-Farber Brigham Cancer Center, Boston, Massachusetts.
Tari A KingDivision of Breast Surgery, Department of Surgery, Brigham and Women's Hospital, Boston, Massachusetts.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Importance: Increasing germline genetic testing rates may impact contralateral prophylactic mastectomy (CPM) rates in patients with newly diagnosed breast cancer. Objective: To quantify the impact of a personalized contralateral breast cancer (CBC) risk counseling tool that incorporates genetic testing results. Design, Setting, and Participants: This randomized clinical trial recruited participants from a single tertiary referral center between June 8, 2020, and December 31, 2022. Patients aged 18 to 80 years with unilateral breast cancer who underwent genetic counseling and surgery were eligible. Exclusion criteria were prior or metastatic breast cancer or prior multigene panel testing. Follow-up was completed June 30, 2023. Intervention: Personalized age-specific CBC risks were estimated based on the presence or absence of pathogenic variants associated with breast cancer and were incorporated into a visual decision support tool. Patients were randomized 1:1 to quantitative counseling via the tool vs standard counseling without personalized CBC risk estimates. Main Outcomes and Measures: Co-primary end points included patients' personal CBC risk knowledge and propensity to undergo CPM, before and after counseling, by randomization arm. The secondary end point was CPM rate. Sample size calculations assumed postcounseling CBC risk self-assessments would be 5% different from baseline (SD, 20%). A total of 199 patients in each arm would achieve 80% power and 5% type I error (based on a 2-sample t test). Univariate and multivariate analyses were performed for each end point. Results: A total of 400 patients were randomized (mean [SD] age, 54 [11] years), and 54 were excluded after randomization, leaving 346 patients. Among 341 patients with data available, 21 (6.2%) were Asian or Pacific Islander, 18 (5.3%) were Black, 295 (86.5%) were White, and 7 (2.1%) were of other race; 33 of 330 patients with available data (10.0%) were of Ashkenazi Jewish ancestry. Seventy-five of 346 patients (21.7%) had a first-degree relative with breast cancer. Patients who received quantitative counseling more accurately reported their CBC risk estimates than those who received standard counseling by univariate (coefficient, -9.39; 95% CI, -14.86 to -3.93; P < .001) and multivariate (coefficient, -9.52; 95% CI, -16.50 to -2.51; P = .008) analyses. The type of counseling did not significantly impact perception of risk, self-reported propensity to undergo CPM, or CPM rates. Conclusions and Relevance: In this randomized clinical trial, patients more accurately described their calculated CBC risk after quantitative counseling. This improved knowledge did not impact decisions to undergo CPM. The CBC risk assessment tool is publicly available and can be used for preoperative discussions. Trial Registration: ClinicalTrials.gov Identifier: NCT04245176.

Indexed as

Breast NeoplasmsGenetic CounselingGenetic TestingProphylactic MastectomyAdolescentAdultAgedAged, 80 and overFemaleHumansMiddle AgedRisk AssessmentYoung Adult

Identifiers

PMID41525075
PMCPMC12797092

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Registered trials

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.