Evidence map›Paper›PMID 20616353›Full record

ReviewJournal of the National Cancer Institute2010

Breast tissue composition and susceptibility to breast cancer.

Norman F Boyd, Lisa J Martin, Michael Bronskill, Martin J Yaffe, Neb Duric, Salomon Minkin

Open access · bronzeAbstract readReview
In one paragraph

Review in Journal of the National Cancer Institute, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 244 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
244citing papers in PubMed, 5 pooled it
17.6field-weighted citation impact, top 1% 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

244 citing papers in PubMed, 5 syntheses or guidelines pooled it, 475 citations in OpenAlex.

  1. Pooled it
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  5. Association between vitamin D receptor gene Cdx2 polymorphism and breast cancer susceptibility.Tumour biology : the journal of the International Society for Oncodevelopmental Biology and Medicine · 2013
    Pooled it
  6. Trial
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  12. Article
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  16. GuidedMorph: Two-Stage Deformable Registration for Breast MRI.IEEE journal of biomedical and health informatics · 2026
    Article
  17. Article
  18. Article
  19. Association between Participant Characteristics and Breast Parenchymal Texture Variation among Postmenopausal Women.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2026
    Article
  20. Article

184 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors at 4 institutions in 2 countries.

Norman F BoydCampbell Family Institute for Breast Cancer Research, Ontario Cancer Institute, Room 10-415 610 University Ave, Toronto, ON, Canada M5G2M9. boyd@uhnres.utoronto.ca
Lisa J Martin
Michael Bronskill
Martin J Yaffe
Neb Duric
Salomon Minkin
Health Sciences Centre · CAWayne State University · USSunnybrook Health Science Centre · CAUniversity of Toronto · CA

Funding

MAMMOGRAPHIC DENSITIES AND RISK OF BREAST CANCERR01CA082826 · NCI · ONTARIO CANCER INSTITUTE · PI BOYD, NORMAN F · 1999 to 2001
$185k
NCI NIH HHS R01CA082826-01
6 · The paper itself

Abstract

Breast density, as assessed by mammography, reflects breast tissue composition. Breast epithelium and stroma attenuate x-rays more than fat and thus appear light on mammograms while fat appears dark. In this review, we provide an overview of selected areas of current knowledge about the relationship between breast density and susceptibility to breast cancer. We review the evidence that breast density is a risk factor for breast cancer, the histological and other risk factors that are associated with variations in breast density, and the biological plausibility of the associations with risk of breast cancer. We also discuss the potential for improved risk prediction that might be achieved by using alternative breast imaging methods, such as magnetic resonance or ultrasound. After adjustment for other risk factors, breast density is consistently associated with breast cancer risk, more strongly than most other risk factors for this disease, and extensive breast density may account for a substantial fraction of breast cancer. Breast density is associated with risk of all of the proliferative lesions that are thought to be precursors of breast cancer. Studies of twins have shown that breast density is a highly heritable quantitative trait. Associations between breast density and variations in breast histology, risk of proliferative breast lesions, and risk of breast cancer may be the result of exposures of breast tissue to both mitogens and mutagens. Characterization of breast density by mammography has several limitations, and the uses of breast density in risk prediction and breast cancer prevention may be improved by other methods of imaging, such as magnetic resonance or ultrasound tomography.

Indexed as

MammographyBreastBreast NeoplasmsConfounding Factors, EpidemiologicFemaleGenetic Predisposition to DiseaseHumansIncidenceMagnetic Resonance ImagingMitogensMutagensPredictive Value of TestsRisk AssessmentRisk FactorsTwin Studies as TopicUltrasonography, MammaryMitogensMutagens

Identifiers

PMID20616353
PMCPMC2923218
OpenAlexW2147153911

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.