Evidence map›Paper›PMID 22231042›Full record

ArticleJournal of clinical oncology : official journal of the American Society of Clinical Oncology2012

Online tool to guide decisions for BRCA1/2 mutation carriers.

Allison W Kurian, Diego F Munoz, Peter Rust, Elizabeth A Schackmann, Michael Smith, Lauren Clarke, Meredith A Mills, Sylvia K Plevritis

Abstract readComparative Study
In one paragraph

Article in Journal of clinical oncology : official journal of the American Society of Clinical Oncology, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers.

0numbers the graph read from it
0cells of the map it votes in
37citing 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

37 citing papers in PubMed.

  1. Trial
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  9. Decision Aids for Preventive Treatment Alternatives forGeburtshilfe und Frauenheilkunde · 2021
    Article
  10. Review
  11. Development and Testing of a Decision Aid for Unaffected Women with a BRCA1 or BRCA2 Mutation.Journal of cancer education : the official journal of the American Association for Cancer Education · 2020
    Article
  12. Article
  13. Article
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  17. Estimating Breast Cancer Survival by Molecular Subtype in the Absence of Screening and Adjuvant Treatment.Medical decision making : an international journal of the Society for Medical Decision Making · 2018
    Article
  18. Cost Effectiveness of Gene Expression Profile Testing in Community Practice.Journal of clinical oncology : official journal of the American Society of Clinical Oncology · 2018
    Article
  19. Article
  20. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors.

Allison W KurianStanford University School of Medicine, Stanford, CA, USA.
Diego F Munoz
Peter Rust
Elizabeth A Schackmann
Michael Smith
Lauren Clarke
Meredith A Mills
Sylvia K Plevritis

Funding

MAGNETIC RESONANCE IMAGING OF BREAST CANCERR01CA066785 · NCI · STANFORD UNIVERSITY · PI DANIEL, BRUCE L · 1997 to 2005
$2.8M
Breast Cancer Trend Analysis Using Stochastic Stimulati*U01CA088248 · NCI · STANFORD UNIVERSITY · PI PLEVRITIS, SYLVIA KATINA · 2000 to 2009
$2.0M
NCI NIH HHS R01 CA066785NCI NIH HHS R01 CA66785NCI NIH HHS R01 CA829040NCI NIH HHS U01 CA088248
6 · The paper itself

Abstract

purposeWomen with BRCA1 or BRCA2 (BRCA1/2) mutations must choose between prophylactic surgeries and screening to manage their high risks of breast and ovarian cancer, comparing options in terms of cancer incidence, survival, and quality of life. A clinical decision tool could guide these complex choices.

methodsWe built a Monte Carlo model for BRCA1/2 mutation carriers, simulating breast screening with annual mammography plus magnetic resonance imaging (MRI) from ages 25 to 69 years and prophylactic mastectomy (PM) and/or prophylactic oophorectomy (PO) at various ages. Modeled outcomes were cancer incidence, tumor features that shape treatment recommendations, overall survival, and cause-specific mortality. We adapted the model into an online tool to support shared decision making.

resultsWe compared strategies on cancer incidence and survival to age 70 years; for example, PO plus PM at age 25 years optimizes both outcomes (incidence, 4% to 11%; survival, 80% to 83%), whereas PO at age 40 years plus MRI screening offers less effective prevention, yet similar survival (incidence, 36% to 57%; survival, 74% to 80%). To characterize patients' treatment and survivorship experiences, we reported the tumor features and treatments associated with risk-reducing interventions; for example, in most BRCA2 mutation carriers (81%), MRI screening diagnoses stage I, hormone receptor-positive breast cancers, which may not require chemotherapy.

conclusionCancer risk-reducing options for BRCA1/2 mutation carriers vary in their impact on cancer incidence, recommended treatments, quality of life, and survival. To guide decisions informed by multiple health outcomes, we provide an online tool for joint use by patients with their physicians (http://brcatool.stanford.edu).

Indexed as

Computer SimulationDecision Support TechniquesGenes, BRCA1Genes, BRCA2MutationBreast NeoplasmsEarly Detection of CancerFemaleGenetic Predisposition to DiseaseHeterozygoteHumansIncidenceMagnetic Resonance ImagingMammographyMastectomyMonte Carlo Method

Identifiers

PMID22231042
PMCPMC3295552

What OpenQuestion holds

Textmetadata
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.