Evidence map›Paper›PMID 38532516›Full record

ArticleBreast cancer research : BCR2024

Temporal changes in mammographic breast density and breast cancer risk among women with benign breast disease.

Maeve Mullooly, Shaoqi Fan, Ruth M Pfeiffer, Erin Aiello Bowles, Máire A Duggan, Roni T Falk, Kathryn Richert-Boe, Andrew G Glass, Teresa M Kimes, Jonine D Figueroa and 3 more

Open access · goldAbstract read
In one paragraph

Article in Breast cancer research : BCR, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.7field-weighted citation impact, top 17% 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

3 citing papers in PubMed, 4 citations in OpenAlex.

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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

13 authors at 7 institutions in 3 countries.

Maeve MulloolySchool of Population Health, RCSI University of Medicine and Health Sciences, Dublin, Ireland.
Shaoqi FanDivision of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA.
Ruth M PfeifferDivision of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA.
Erin Aiello BowlesKaiser Permanente Washington Health Research Institute, Kaiser Permanente Washington, Seattle, WA, USA.
Máire A DugganDepartment of Pathology and Laboratory Medicine, University of Calgary, Calgary, AB, T2N2Y9, Canada.
Roni T FalkDivision of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA.
Kathryn Richert-BoeKaiser Permanente Center for Health Research, Portland, OR, USA.
Andrew G GlassKaiser Permanente Center for Health Research, Portland, OR, USA.
Teresa M KimesKaiser Permanente Center for Health Research, Portland, OR, USA.
Jonine D FigueroaDivision of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA.
Thomas E RohanDepartment of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, NY, USA.
Mustapha Abubakar *Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA. mustapha.abubakar2@nih.gov.
Gretchen L Gierach *Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA.
Division of Cancer Epidemiology and GeneticsKaiser Permanente Center for Health Research · USNational Cancer Institute · USAlbert Einstein College of Medicine · USKaiser Permanente Washington Health Research Institute · USUniversity of Calgary · CAUniversity of Edinburgh · GB

Funding

Group Health Cancer Research Program Research Specialist AwardR50CA211115 · NCI · KAISER FOUNDATION RESEARCH INSTITUTE · PI BOWLES, ERIN JANELLE AIELLO · 2017 to 2021
$919k
Health Research Board EIA-2019-012NCI NIH HHS R50 CA211115NCI NIH HHS R50CA211115
6 · The paper itself

Abstract

introductionBenign breast disease (BBD) and high mammographic breast density (MBD) are prevalent and independent risk factors for invasive breast cancer. It has been suggested that temporal changes in MBD may impact future invasive breast cancer risk, but this has not been studied among women with BBD.

methodsWe undertook a nested case-control study within a cohort of 15,395 women with BBD in Kaiser Permanente Northwest (KPNW; 1970-2012, followed through mid-2015). Cases (n = 261) developed invasive breast cancer > 1 year after BBD diagnosis, whereas controls (n = 249) did not have breast cancer by the case diagnosis date. Cases and controls were individually matched on BBD diagnosis age and plan membership duration. Standardized %MBD change (per 2 years), categorized as stable/any increase (≥ 0%), minimal decrease of less than 5% or a decrease greater than or equal to 5%, was determined from baseline and follow-up mammograms. Associations between MBD change and breast cancer risk were examined using adjusted unconditional logistic regression.

resultsOverall, 64.5% (n = 329) of BBD patients had non-proliferative and 35.5% (n = 181) had proliferative disease with/without atypia. Women with an MBD decrease (≤ - 5%) were less likely to develop breast cancer (Odds Ratio (OR) 0.64; 95% Confidence Interval (CI) 0.38, 1.07) compared with women with minimal decreases. Associations were stronger among women ≥ 50 years at BBD diagnosis (OR 0.48; 95% CI 0.25, 0.92) and with proliferative BBD (OR 0.32; 95% CI 0.11, 0.99). DISCUSSION: Assessment of temporal MBD changes may inform risk monitoring among women with BBD, and strategies to actively reduce MBD may help decrease future breast cancer risk.

Indexed as

Breast DiseasesBreast NeoplasmsBreast DensityCase-Control StudiesFemaleHumansRisk FactorsBenign breast diseaseBreast cancer riskMammographic breast density

Identifiers

PMID38532516
PMCPMC10967105
OpenAlexW4393191703

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.