Evidence map›Paper›PMID 32373777›Full record

ArticleJNCI cancer spectrum2020

Determinants of Mammographic Breast Density by Race Among a Large Screening Population.

Justin X Moore, Yunan Han, Catherine Appleton, Graham Colditz, Adetunji T Toriola

Registry-linked trialOpen access · goldAbstract read
In one paragraph

Article in JNCI cancer spectrum, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT07782814 (An Investigation Into Dielectric Testing for the Evaluation and Characterisation of Breast Tissue Using a Novel Time-Domain Bioimpedance Tool), which is not on this map. Cited by 30 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
30citing papers in PubMed, 1 pooled it
3.0field-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.

NCT07782814 not yet recruitingnot on this mapstarted 2026, after this paper: background citation

An Investigation Into Dielectric Testing for the Evaluation and Characterisation of Breast Tissue Using a Novel Time-Domain Bioimpedance Tool

TypeobservationalSponsorZedsen LimitedRan2026 to 2028Enrolled220ConditionsBreast Cancer, Breast - FemaleArmsTD-BIS scanner
3 · Its place in the literature

Who cites it

30 citing papers in PubMed, 1 synthesis or guideline pooled it, 47 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. 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
  4. Review
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Lifecourse Growth and Development Determinants of Mammographic Density in Black Women.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2024
    Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Gynecologic Care of Black Breast Cancer Survivors.Current breast cancer reports · 2024
    Article
  18. Article
  19. Article
  20. Article
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

5 authors at 3 institutions in 2 countries.

Justin X MooreDivision of Public Health Sciences, Department of Surgery, and Siteman Cancer Center at Washington University School of Medicine, St. Louis, MO, USA.ORCID 0000-0002-5496-752X
Yunan HanDivision of Public Health Sciences, Department of Surgery, and Siteman Cancer Center at Washington University School of Medicine, St. Louis, MO, USA.ORCID 0000-0002-6378-7715
Catherine AppletonBreast Imaging Division, Mallinckrodt Institute of Radiology, Washington University in Saint Louis School of Medicine, St. Louis, MO, USA.
Graham ColditzDivision of Public Health Sciences, Department of Surgery, and Siteman Cancer Center at Washington University School of Medicine, St. Louis, MO, USA.ORCID 0000-0002-7307-0291
Adetunji T ToriolaDivision of Public Health Sciences, Department of Surgery, and Siteman Cancer Center at Washington University School of Medicine, St. Louis, MO, USA.ORCID 0000-0003-1079-2606
Washington University in St. Louis · USChina Medical University · CNMallinckrodt (United States) · US

Funding

Washington University Center for Cellular ImagingP30CA091842 · NCI · WASHINGTON UNIVERSITY · PI AIMEE S JAMES · 2001 to 2026
$128.0M
Postdoctoral Training in Cancer Prevention and ControlT32CA190194 · NCI · WASHINGTON UNIVERSITY · PI GRAHAM A. COLDITZ, AIMEE S JAMES · 2014 to 2026
$4.7M
Targeting RANK Pathway in Mammographic Density and Primary Breast Cancer PreventionR37CA235602 · NCI · WASHINGTON UNIVERSITY · PI TORIOLA, ADETUNJI T · 2019 to 2025
$4.2M
Metabolite Profiles and Mammographic Density in Premenopausal WomenR01CA246592 · NCI · WASHINGTON UNIVERSITY · PI TORIOLA, ADETUNJI T · 2020 to 2024
$1.8M
RANK PATHWAY AND MAMMOGRAPHIC DENSITY IN MID-LIFE WOMENR21CA216515 · NCI · WASHINGTON UNIVERSITY · PI TORIOLA, ADETUNJI T · 2017 to 2018
$376k
NCI NIH HHS P30 CA091842NCI NIH HHS R01 CA246592NCI NIH HHS R21 CA216515NCI NIH HHS R37 CA235602NCI NIH HHS T32 CA190194
6 · The paper itself

Abstract

backgroundBecause of the mixed reports from smaller studies, we examined associations of race with mammographic breast density and evaluated racial differences in the determinants of breast density.

methodsParticipants included 37 839 women (23 166 non-Hispanic white and 14 673 African American) receiving screening mammograms at the Joanne Knight Breast Health Center at Washington University School of Medicine from June 2010 to December 2015. Mammographic breast density was assessed using the Breast Imaging Reporting and Data System (5th edition). To determine the association of race and participant characteristics with mammographic breast density, we used multivariable polytomous logistic regression models (reference group: almost entirely fatty).

resultsAfrican American women had increased odds of extremely dense (adjusted odds ratio = 1.31, 95% confidence interval = 1.13 to 1.52) and reduced odds of heterogeneously dense breasts (adjusted odds ratio = 0.91, 95% confidence interval = 0.84 to 0.99) compared with non-Hispanic white women. Altogether, race, parity and age at first birth, current age, current body mass index (BMI), BMI at age 18 years, menarche, family history of breast cancer, oral contraceptive use, alcohol use, and menopausal status explained 33% of the variation in mammographic breast density. Among African American and non-Hispanic white women, these factors explained nearly 28.6% and 33.6% of the variation in mammographic density, respectively. Current BMI provided the greatest explanation of breast density (26.2% overall, 22.2% in African American, and 26.2% in non-Hispanic white women).

conclusionsThe determinants of mammographic breast density were generally similar between African American women and non-Hispanic white women. After adjustments for confounders, African Americans had higher likelihood of extremely dense breasts but lower likelihood of heterogeneously dense breasts. The greatest explanation of breast density was provided by BMI, regardless of race.

Identifiers

PMID32373777
PMCPMC7192029
OpenAlexW3008603854

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

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.