Evidence mapPaperPMID 34196899Full record

ArticleBreast cancer research and treatment2021

Medication use and mammographic breast density.

Yunan Han, Chee Teik Lee, Shuai Xu, Xiaoyue Mi, Courtnie R Phillip, Ana S Salazar, Malika Rakhmankulova, Adetunji T Toriola

Open access · greenAbstract read
In one paragraph

Article in Breast cancer research and treatment, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.6field-weighted citation impact, top 31% 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

1 citing paper in PubMed, 4 citations in OpenAlex.

  1. Aspirin Metabolites and Mammographic Breast Density in Premenopausal Women.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2024
    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

8 authors at 3 institutions in 3 countries.

Yunan Han *Department of Surgery, Division of Public Health Sciences, Washington University School of Medicine, 660 South Euclid Avenue, Campus, Box 8100, St. Louis, MO, 63110, USA.
Chee Teik Lee *Department of Surgery, Division of Public Health Sciences, Washington University School of Medicine, 660 South Euclid Avenue, Campus, Box 8100, St. Louis, MO, 63110, USA.
Shuai XuDepartment of Surgery, Division of Public Health Sciences, Washington University School of Medicine, 660 South Euclid Avenue, Campus, Box 8100, St. Louis, MO, 63110, USA.
Xiaoyue MiDepartment of Surgery, Division of Public Health Sciences, Washington University School of Medicine, 660 South Euclid Avenue, Campus, Box 8100, St. Louis, MO, 63110, USA.
Courtnie R PhillipDepartment of Surgery, Division of Public Health Sciences, Washington University School of Medicine, 660 South Euclid Avenue, Campus, Box 8100, St. Louis, MO, 63110, USA.
Ana S SalazarDepartment of Surgery, Division of Public Health Sciences, Washington University School of Medicine, 660 South Euclid Avenue, Campus, Box 8100, St. Louis, MO, 63110, USA.
Malika RakhmankulovaDepartment of Surgery, Division of Public Health Sciences, Washington University School of Medicine, 660 South Euclid Avenue, Campus, Box 8100, St. Louis, MO, 63110, USA.
Adetunji T ToriolaDepartment of Surgery, Division of Public Health Sciences, Washington University School of Medicine, 660 South Euclid Avenue, Campus, Box 8100, St. Louis, MO, 63110, USA. a.toriola@wustl.edu.ORCID http://orcid.org/0000-0003-1079-2606
Washington University in St. Louis · USBarnes-Jewish Hospital · USUniversity College Dublin · IE

Funding

Targeting RANK Pathway in Mammographic Density and Primary Breast Cancer PreventionR37CA235602 · WASHINGTON UNIVERSITY · 2025 to 2025
$600k
NCI NIH HHS R01 CA246592NCI NIH HHS R21 CA216515NCI NIH HHS R21CA216515, R37CA235602 and R01CA246592NCI NIH HHS R37 CA235602Susan G. Komen CCR15332379
6 · The paper itself

Abstract

purposeA dense breast on mammogram is a strong risk factor for breast cancer. Identifying factors that reduce mammographic breast density could thus provide insight into breast cancer prevention. Due to the limited number of studies and conflicting findings, we investigated the associations of medication use (specifically statins, aspirin, and ibuprofen) with mammographic breast density.

methodsWe evaluated these associations in 775 women who were recruited during an annual screening mammogram at Washington University School of Medicine, St. Louis. We measured mammographic breast density using Volpara. We used multivariable-adjusted linear regressions to determine the associations of medication use (statins, aspirin, and ibuprofen) with mammographic breast density. Least squared means were generated and back-transformed for easier interpretation.

resultsThe mean age of study participants was 52.9 years. Statin use in the prior 12 months was not associated with volumetric percent density or dense volume, but was positively associated with non-dense volume. The mean volumetric percent density was 8.6% among statin non-users, 7.2% among women who used statins 1-3 days/week, and 7.3% among women who used statins ≥ 4 days/week (p trend = 0.07). The non-dense volume was 1297.1 cm

conclusionStatin, aspirin, and ibuprofen use was not associated with volumetric percent density and dense volume, but statin use was positively associated with non-dense volume. Any potential associations of these medications with breast cancer risk are unlikely to be mediated through an effect on volumetric percent density.

Indexed as

Breast DensityBreast NeoplasmsBreastFemaleHumansMammographyMiddle AgedRisk FactorsAspirinBreast cancerIbuprofenMammographic breast densityNSAIDStatin

Identifiers

PMID34196899
PMCPMC9059256
OpenAlexW3176496439

What Socratic holds

Textmetadata
LicenceTDM
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 Socratic graph.