Evidence map›Paper›PMID 29511964›Full record

ArticleBreast cancer research and treatment2018

Dose-dependent effect of mammographic breast density on the risk of contralateral breast cancer.

Marzana Chowdhury, David Euhus, Maureen O'Donnell, Tracy Onega, Pankaj K Choudhary, Swati Biswas

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Breast cancer research and treatment, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.2field-weighted citation impact, top 50% 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

4 citing papers in PubMed, 6 citations in OpenAlex.

  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

6 authors at 4 institutions in 1 country.

Marzana ChowdhuryDepartment of Mathematical Sciences, University of Texas at Dallas, 800 W Campbell Rd FO 35, Richardson, TX, 75080, USA.
David EuhusDivision of Surgical Oncology, Johns Hopkins University, Baltimore, USA.
Maureen O'DonnellJohns Hopkins Sibley Memorial Hospital, Washington D.C., USA.
Tracy OnegaDepartment of Community and Family Medicine, Geisel School of Medicine at Dartmouth, Hanover, USA.
Pankaj K ChoudharyDepartment of Mathematical Sciences, University of Texas at Dallas, 800 W Campbell Rd FO 35, Richardson, TX, 75080, USA. pankaj@utdallas.edu.
Swati BiswasDepartment of Mathematical Sciences, University of Texas at Dallas, 800 W Campbell Rd FO 35, Richardson, TX, 75080, USA. swati.biswas@utdallas.edu.ORCID http://orcid.org/0000-0001-7758-4460
The University of Texas at Dallas · USDartmouth College · USJohns Hopkins University · USSibley Memorial Hospital · US

Funding

Risk-based Imaging Strategies to Improve Breast Cancer Surveillance OutcomesP01CA154292 · NCI · UNIVERSITY OF CALIFORNIA AT DAVIS · PI Diana L Miglioretti · 2011 to 2026
$52.9M
A Model for Individualized Risk Prediction of Contralateral Breast CancerR21CA186086 · NCI · UNIVERSITY OF TEXAS DALLAS · PI BISWAS, SWATI, CHOUDHARY, PANKAJ · 2014 to 2015
$412k
Division of Cancer Epidemiology and Genetics, National Cancer Institute R21CA186086NCI NIH HHS P01 CA154292NCI NIH HHS R21 CA186086
6 · The paper itself

Abstract

purposeIncreased mammographic breast density is a significant risk factor for breast cancer. It is not clear if it is also a risk factor for the development of contralateral breast cancer.

methodsThe data were obtained from Breast Cancer Surveillance Consortium and included women diagnosed with invasive breast cancer or ductal carcinoma in situ between ages 18 and 88 and years 1995 and 2009. Each case of contralateral breast cancer was matched with three controls based on year of first breast cancer diagnosis, race, and length of follow-up. A total of 847 cases and 2541 controls were included. The risk factors included in the study were mammographic breast density, age of first breast cancer diagnosis, family history of breast cancer, anti-estrogen treatment, hormone replacement therapy, menopausal status, and estrogen receptor status, all from the time of first breast cancer diagnosis. Both univariate analysis and multivariate conditional logistic regression analysis were performed.

resultsIn the final multivariate model, breast density, family history of breast cancer, and anti-estrogen treatment remained significant with p values less than 0.01. Increasing breast density had a dose-dependent effect on the risk of contralateral breast cancer. Relative to 'almost entirely fat' category of breast density, the adjusted odds ratios (and p values) in the multivariate analysis for 'scattered density,' 'heterogeneously dense,' and 'extremely dense' categories were 1.65 (0.036), 2.10 (0.002), and 2.32 (0.001), respectively.

conclusionBreast density is an independent and significant risk factor for development of contralateral breast cancer. This risk factor should contribute to clinical decision making.

Indexed as

Breast DensityAdolescentAdultAgedAged, 80 and overBreastBreast NeoplasmsCarcinoma, Intraductal, NoninfiltratingFemaleHumansLogistic ModelsMammographyMiddle AgedRisk FactorsBreast Cancer Surveillance ConsortiumBreast densityContralateral breast cancerContralateral prophylactic mastectomy

Identifiers

PMID29511964
PMCPMC6290471
OpenAlexW2794399012

What OpenQuestion holds

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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 OpenQuestion graph.