Evidence map›Paper›PMID 31129803›Full record

ArticleBreast cancer research and treatment2019

Combined effect of volumetric breast density and body mass index on breast cancer risk.

Natalie J Engmann, Christopher G Scott, Matthew R Jensen, Stacey Winham, Diana L Miglioretti, Lin Ma, Kathleen Brandt, Amir Mahmoudzadeh, Dana H Whaley, Carrie Hruska and 8 more

Open access · greenAbstract read
In one paragraph

Article in Breast cancer research and treatment, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed, 1 pooled it
3.5field-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.

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

20 citing papers in PubMed, 1 synthesis or guideline pooled it, 32 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. Article
  4. Article
  5. Article
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  7. Impact of BMI on Prevalence of Dense Breasts by Race and Ethnicity.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2023
    Article
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  9. Article
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  16. Observational
  17. Breast Cancer Population Attributable Risk Proportions Associated with Body Mass Index and Breast Density by Race/Ethnicity and Menopausal Status.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2020
    Article
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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

18 authors at 8 institutions in 1 country.

Natalie J EngmannGenentech, South San Francisco, USA.
Christopher G ScottMayo Clinic, Rochester, USA.
Matthew R JensenMayo Clinic, Rochester, USA.
Stacey WinhamMayo Clinic, Rochester, USA.
Diana L MigliorettiUniversity of California, Davis, USA.
Lin MaKaiser Permanente Division of Research, Oakland, CA, USA.
Kathleen BrandtMayo Clinic, Rochester, USA.
Amir MahmoudzadehAccenture, San Francisco, USA.
Dana H WhaleyMayo Clinic, Rochester, USA.
Carrie HruskaMayo Clinic, Rochester, USA.
Fang WuMayo Clinic, Rochester, USA.
Aaron D NormanMayo Clinic, Rochester, USA.
Robert A HiattDepartment of Medicine and Epidemiology & Biostatistics, University of California, San Francisco, USA.
John HeineMoffitt Cancer Center, Tampa, USA.
John ShepherdUniversity of Hawaii, Hawaii, USA.
V Shane PankratzUniversity of New Mexico Health Sciences Center, Albuquerque, USA.
Celine M Vachon *Mayo Clinic, Rochester, USA.
Karla Kerlikowske *Department of Medicine and Epidemiology & Biostatistics, University of California, San Francisco, USA. karla.kerlikowske@ucsf.edu.ORCID http://orcid.org/0000-0001-8793-8779
Mayo Clinic in Florida · USUniversity of California, San Francisco · USAccenture (United States) · USKaiser Permanente · USKaiser Permanente Washington Health Research Institute · USMoffitt Cancer Center · USUniversity of Hawaii System · USUniversity of New Mexico · US

Funding

Risk-based Imaging Strategies to Improve Breast Cancer Surveillance OutcomesP01CA154292 · NCI · UNIVERSITY OF CALIFORNIA AT DAVIS · PI Diana L Miglioretti · 2011 to 2026
$52.9M
The Role of CHFR in Tumorigenesis and Paclitaxel-Sensitivity in Breast CancerP50CA116201 · NCI · MAYO CLINIC ROCHESTER · PI PETER C LUCAS · 2005 to 2026
$49.9M
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
Independent and joint effects of volumetric breast density and body mass index to identify women at high risk of breast cancerF31CA213804 · NCI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI ENGMANN, NATALIE · 2017 to 2018
$49k
National Cancer Institute F31CA213804-01National Cancer Institute P01CA154292National Cancer Institute P50 CA116201National Cancer Institute R01CA177150-03NCI NIH HHS F31 CA213804NCI NIH HHS P01 CA154292NCI NIH HHS P50 CA116201NCI NIH HHS R01 CA177150
6 · The paper itself

Abstract

backgroundBreast density and body mass index (BMI) are used for breast cancer risk stratification. We evaluate whether the positive association between volumetric breast density and breast cancer risk is strengthened with increasing BMI.

methodsThe San Francisco Mammography Registry and Mayo Clinic Rochester identified 781 premenopausal and 1850 postmenopausal women with breast cancer diagnosed between 2007 and 2015 that had a screening digital mammogram at least 6 months prior to diagnosis. Up to three controls (N = 3535) were matched per case on age, race, date, mammography machine, and state. Volumetric percent density (VPD) and dense volume (DV) were measured with Volpara™. Breast cancer risk was assessed with logistic regression stratified by menopause status. Multiplicative interaction tests assessed whether the association of density measures was differential by BMI categories.

resultsThe increased risk of breast cancer associated with VPD was strengthened with higher BMI for both premenopausal (p

conclusionsThe effect of volumetric percent density on breast cancer risk is strongest in overweight and obese women. These associations have clinical relevance for informing prevention strategies.

Indexed as

Body Mass IndexBreast DensityAdultAgedAged, 80 and overBreast NeoplasmsCase-Control StudiesDisease SusceptibilityEarly Detection of CancerFemaleHumansMammographyMass ScreeningMenopauseMiddle AgedPublic Health SurveillanceBody mass indexBreast cancerBreast densityMammographic density

Identifiers

PMID31129803
PMCPMC6640105
OpenAlexW2946790299

What OpenQuestion 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 OpenQuestion graph.