Evidence map›Paper›PMID 26315554›Full record

ArticleCancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology2015

The effect of change in body mass index on volumetric measures of mammographic density.

Vicki Hart, Katherine W Reeves, Susan R Sturgeon, Nicholas G Reich, Lynnette Leidy Sievert, Karla Kerlikowske, Lin Ma, John Shepherd, Jeffrey A Tice, Amir Pasha Mahmoudzadeh and 2 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, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing 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

22 citing papers in PubMed.

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  16. Rationale, Study Design, and Cohort Characteristics for the Markers for Environmental Exposures (MEE) Study.International journal of environmental research and public health · 2020
    Article
  17. Longitudinal Changes in Volumetric Breast Density in Healthy Women across the Menopausal Transition.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2019
    Article
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  19. Review
  20. Age at Menarche and Late Adolescent Adiposity Associated with Mammographic Density on Processed Digital Mammograms in 24,840 Women.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2017
    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

12 authors.

Vicki HartDepartment of Surgery and Office of Health Promotion Research, University of Vermont, Burlington, Vermont. Department of Biostatistics and Epidemiology, University of Massachusetts Amherst, Amherst, Massachusetts. victoria.hart@uvm.edu.
Katherine W ReevesDepartment of Biostatistics and Epidemiology, University of Massachusetts Amherst, Amherst, Massachusetts.
Susan R SturgeonDepartment of Biostatistics and Epidemiology, University of Massachusetts Amherst, Amherst, Massachusetts.
Nicholas G ReichDepartment of Biostatistics and Epidemiology, University of Massachusetts Amherst, Amherst, Massachusetts.
Lynnette Leidy SievertDepartment of Anthropology, University of Massachusetts Amherst, Amherst, Massachusetts.
Karla KerlikowskeDivision of General Internal Medicine, Department of Medicine, University of California San Francisco, San Francisco, California.
Lin MaDivision of General Internal Medicine, Department of Medicine, University of California San Francisco, San Francisco, California.
John ShepherdDepartment of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, California.
Jeffrey A TiceDivision of General Internal Medicine, Department of Medicine, University of California San Francisco, San Francisco, California.
Amir Pasha MahmoudzadehDepartment of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, California.
Serghei MalkovDepartment of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, California.
Brian L SpragueDepartment of Surgery and Office of Health Promotion Research, University of Vermont, Burlington, Vermont.

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
UCSF Nutrition Obesity Research CenterP30DK098722 · NIDDK · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI CHRISTIAN VAISSE · 2015 to 2026
$14.6M
Vermont Screening Process Documentation UnitU54CA163303 · NCI · UNIVERSITY OF VERMONT & ST AGRIC COLLEGE · PI SPRAGUE, BRIAN L · 2011 to 2017
$6.4M
Lesion Composition and Quantitative Imaging Analysis on Breast Cancer DiagnosisR01CA166945 · NCI · UNIVERSITY OF HAWAII AT MANOA · PI GIGER, MARYELLEN L., SHEPHERD, JOHN ALAN · 2013 to 2017
$3.3M
NCI NIH HHS HHSN261201100031CNCI NIH HHS P01 CA154292NCI NIH HHS R01 CA166945NCI NIH HHS U54 CA163303NIDDK NIH HHS P30 DK098722PHS HHS HHSN261201100031C
6 · The paper itself

Abstract

backgroundUnderstanding how changes in body mass index (BMI) relate to changes in mammographic density is necessary to evaluate adjustment for BMI gain/loss in studies of change in density and breast cancer risk. Increase in BMI has been associated with a decrease in percent density, but the effect on change in absolute dense area or volume is unclear.

methodsWe examined the association between change in BMI and change in volumetric breast density among 24,556 women in the San Francisco Mammography Registry from 2007 to 2013. Height and weight were self-reported at the time of mammography. Breast density was assessed using single x-ray absorptiometry measurements. Cross-sectional and longitudinal associations between BMI and dense volume (DV), non-dense volume (NDV), and percent dense volume (PDV) were assessed using multivariable linear regression models, adjusted for demographics, risk factors, and reproductive history.

resultsIn cross-sectional analysis, BMI was positively associated with DV [β, 2.95 cm(3); 95% confidence interval (CI), 2.69-3.21] and inversely associated with PDV (β, -2.03%; 95% CI, -2.09, -1.98). In contrast, increasing BMI was longitudinally associated with a decrease in both DV (β, -1.01 cm(3); 95% CI, -1.59, -0.42) and PDV (β, -1.17%; 95% CI, -1.31, -1.04). These findings were consistent for both pre- and postmenopausal women.

conclusionOur findings support an inverse association between change in BMI and change in PDV. The association between increasing BMI and decreasing DV requires confirmation. IMPACT: Longitudinal studies of PDV and breast cancer risk, or those using PDV as an indicator of breast cancer risk, should evaluate adjustment for change in BMI.

Indexed as

Body Mass IndexBreastBreast DensityBreast NeoplasmsCross-Sectional StudiesFemaleHumansLinear ModelsLongitudinal StudiesMammary Glands, HumanMammographyMiddle AgedRisk Factors

Identifiers

PMID26315554
PMCPMC4633314

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Registered trials

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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.