Evidence map›Paper›PMID 29733510›Full record

ArticleCancer medicine2018

Contralateral prophylactic mastectomy rate and predictive factors among patients with breast cancer who underwent multigene panel testing for hereditary cancer.

Nisreen Elsayegh, Rachel D Webster, Angelica M Gutierrez Barrera, Heather Lin, Henry M Kuerer, Jennifer K Litton, Isabelle Bedrosian, Banu K Arun

Open access · goldAbstract read
In one paragraph

Article in Cancer medicine, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed, 1 pooled it
3.6field-weighted citation impact, top 7% of its field
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

20 citing papers in PubMed, 1 synthesis or guideline pooled it, 33 citations in OpenAlex.

  1. Pooled it
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  18. The Implications of Genetic Testing on Radiation Therapy Decisions: A Guide for Radiation Oncologists.International journal of radiation oncology, biology, physics · 2019
    Review
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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 at 1 institution in 1 country.

Nisreen ElsayeghDepartment of Breast Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas.ORCID 0000-0003-4820-6246
Rachel D WebsterDepartment of Clinical Cancer Genetics, The University of Texas MD Anderson Cancer Center, Houston, Texas.ORCID 0000-0003-3459-1040
Angelica M Gutierrez BarreraDepartment of Breast Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas.ORCID 0000-0002-8582-8186
Heather LinDepartment of Biostatistics, The University of Texas MD Anderson Cancer Center, Houston, Texas.
Henry M KuererDepartment of Surgical Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas.
Jennifer K LittonDepartment of Breast Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas.
Isabelle BedrosianDepartment of Surgical Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas.
Banu K ArunDepartment of Breast Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas.
The University of Texas MD Anderson Cancer Center · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Although multigene panel testing is increasingly common in patients with cancer, the relationship between its use among breast cancer patients with non-BRCA mutations or variants of uncertain significance (VUS) and disease management decisions has not been well described. This study evaluated the rate and predictive factors of CPM patients who underwent multigene panel testing. Three hundred and fourteen patients with breast cancer who underwent multigene panel testing between 2014 and 2017 were included in the analysis. Of the 314 patients, 70 elected CPM. Election of CPM by gene status was as follows: BRCA carriers (42.3%), non-BRCA carriers (30.1%), and VUS (10.6%). CPM election rates did not differ between non-BRCA carriers and BRCA carriers (P = 0.6205). Among non-BRCA carriers, negative hormone receptor status was associated with CPM (P = 0.0115). For those with a VUS, hormone receptor status was not associated with CPM (P = 0.1879). Although the rate of CPM between BRCA carriers and non-BRCA carriers was not significantly different, the predictors of CPM were different in each group. Our analyses shed the light on the increasing use of CPM among patients who are non-BRCA carriers as well those with a VUS. Our study elucidates the differing predictive factors of CPM election among BRCA carriers, non-BRCA carries, and those with a VUS. Our findings reveal the need for providers to be cognizant that non-BRCA genes and VUS drive women to elect CPM despite the lack of data for contralateral breast cancer risk associated with these genes.

Indexed as

Biomarkers, TumorAdultAgedBRCA1 ProteinBRCA2 ProteinBreast NeoplasmsFemaleGenetic TestingGenotypeHumansIncidenceMiddle AgedPrognosisProphylactic MastectomyProportional Hazards ModelsUnilateral Breast NeoplasmsBiomarkers, TumorBRCA1 ProteinBRCA1 protein, humanBRCA2 ProteinBRCA2 protein, humanBRCA carriersCPMmultigene panelnon-BRCA carriersVUS

Identifiers

PMID29733510
PMCPMC6010764
OpenAlexW2802330055

What OpenQuestion holds

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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.