Evidence map›Paper›PMID 31186265›Full record

ArticleCancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology2019

Longitudinal Changes in Volumetric Breast Density in Healthy Women across the Menopausal Transition.

Natalie J Engmann, Christopher Scott, Matthew R Jensen, Stacey J Winham, Lin Ma, Kathleen R Brandt, Amir Mahmoudzadeh, Dana H Whaley, Carrie B Hruska, Fang-Fang Wu and 8 more

Abstract read
In one paragraph

Article in Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
–field-weighted citation impact
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

17 citing papers in PubMed.

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  15. The epidemiologic factors associated with breast density: A review.Journal of research in medical sciences : the official journal of Isfahan University of Medical Sciences · 2022
    Review
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  17. 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

18 authors.

Natalie J EngmannUniversity of California, San Francisco, California.
Christopher ScottMayo Clinic, Rochester, Minnesota.
Matthew R JensenMayo Clinic, Rochester, Minnesota.
Stacey J WinhamMayo Clinic, Rochester, Minnesota.
Lin MaUniversity of California, San Francisco, California.
Kathleen R BrandtMayo Clinic, Rochester, Minnesota.
Amir MahmoudzadehUniversity of California, San Francisco, California.ORCID 0000-0003-4322-5325
Dana H WhaleyMayo Clinic, Rochester, Minnesota.
Carrie B HruskaMayo Clinic, Rochester, Minnesota.ORCID 0000-0002-6195-5201
Fang-Fang WuMayo Clinic, Rochester, Minnesota.
Aaron D NormanMayo Clinic, Rochester, Minnesota.
Robert A HiattUniversity of California, San Francisco, California.ORCID 0000-0001-7174-8436
John HeineMoffitt Cancer Center, Tampa, Florida.
John ShepherdUniversity of California, San Francisco, California.
V Shane PankratzUniversity of New Mexico Health Sciences Center, Albuquerque, New Mexico.ORCID 0000-0002-3742-040X
Diana L MigliorettiUniversity of California, Davis, California.ORCID 0000-0002-5547-1833
Karla KerlikowskeUniversity of California, San Francisco, California.
Celine M VachonMayo Clinic, Rochester, Minnesota. Vachon.celine@mayo.edu.

Funding

Risk-based Imaging Strategies to Improve Breast Cancer Surveillance OutcomesP01CA154292 · NCI · UNIVERSITY OF CALIFORNIA AT DAVIS · PI KARLA M KERLIKOWSKE · 2011 to 2026
$52.9M
Radiomic phenotypes of breast parenchyma and association with breast cancer risk and detectionR01CA207084 · NCI · MAYO CLINIC ROCHESTER · PI KERLIKOWSKE, KARLA M, KONTOS, DESPINA · 2017 to 2021
$3.2M
Automated Density Measures for Estimating Breast Cancer Risk and Therapy ResponseR01CA177150 · NCI · MAYO CLINIC ROCHESTER · PI KERLIKOWSKE, KARLA M, VACHON, CELINE M · 2013 to 2017
$3.0M
NCI NIH HHS P01 CA154292NCI NIH HHS R01 CA177150NCI NIH HHS R01 CA207084
6 · The paper itself

Abstract

backgroundMammographic breast density declines during menopause. We assessed changes in volumetric breast density across the menopausal transition and factors that influence these changes.

methodsWomen without a history of breast cancer, who had full field digital mammograms during both pre- and postmenopausal periods, at least 2 years apart, were sampled from four facilities within the San Francisco Mammography Registry from 2007 to 2013. Dense breast volume (DV) was assessed using Volpara on mammograms across the time period. Annualized change in DV from pre- to postmenopause was estimated using linear mixed models adjusted for covariates and per-woman random effects. Multiplicative interactions were evaluated between premenopausal risk factors and time to determine whether these covariates modified the annualized changes.

resultsAmong the 2,586 eligible women, 1,802 had one premenopausal and one postmenopausal mammogram, 628 had an additional perimenopausal mammogram, and 156 had two perimenopausal mammograms. Women experienced an annualized decrease in DV [-2.2 cm

conclusionsHigh premenopausal DV was a strong predictor of greater reductions in DV across the menopausal transition. IMPACT: We found that few factors other than premenopausal density influence changes in DV across the menopausal transition, limiting targeted prevention efforts.

Indexed as

Breast DensityBody Mass IndexBreastFemaleHumansLongitudinal StudiesMammographyMiddle AgedPostmenopausePremenopauseRisk FactorsWomen's Health

Identifiers

PMID31186265
PMCPMC6677580

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.