Evidence map›Paper›PMID 30865217›Full record

SynthesisAmerican journal of epidemiology2019

Reproductive Factors and Mammographic Density: Associations Among 24,840 Women and Comparison of Studies Using Digitized Film-Screen Mammography and Full-Field Digital Mammography.

Stacey E Alexeeff, Nnaemeka U Odo, Russell McBride, Valerie McGuire, Ninah Achacoso, Joseph H Rothstein, Jafi A Lipson, Rhea Y Liang, Luana Acton, Martin J Yaffe and 4 more

Open access · bronzeAbstract readMeta-AnalysisReview
In one paragraph

Synthesis in American journal of epidemiology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
2.4field-weighted citation impact, top 11% 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

18 citing papers in PubMed, 42 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Breast Density Changes after Risk-Reducing Salpingo-oophorectomy in Women with a Pathogenic Germline Variant in BRCA1 or BRCA2.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2025
    Article
  5. Article
  6. Article
  7. Article
  8. Review
  9. Article
  10. Article
  11. Article
  12. Article
  13. 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
  14. Article
  15. Article
  16. Article
  17. Alcohol and Tobacco Use in Relation to Mammographic Density in 23,456 Women.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2020
    Article
  18. 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

14 authors at 5 institutions in 2 countries.

Stacey E AlexeeffDivision of Research, Kaiser Permanente Northern California, Oakland, California.
Nnaemeka U OdoOptum360, UnitedHealth Group, Inc., Las Vegas, Nevada.
Russell McBrideDepartment of Population Health Science and Policy, Icahn School of Medicine at Mount Sinai, New York, New York.
Valerie McGuireDepartment of Health Research and Policy, Division of Epidemiology, School of Medicine, Stanford University, Stanford, California.
Ninah AchacosoDivision of Research, Kaiser Permanente Northern California, Oakland, California.
Joseph H RothsteinDepartment of Population Health Science and Policy, Icahn School of Medicine at Mount Sinai, New York, New York.
Jafi A LipsonDepartment of Radiology, School of Medicine, Stanford University, Stanford, California.
Rhea Y LiangDepartment of Radiology, School of Medicine, Stanford University, Stanford, California.
Luana ActonDivision of Research, Kaiser Permanente Northern California, Oakland, California.
Martin J YaffeSunnybrook Health Sciences Centre, Toronto, Ontario, Canada.
Alice S WhittemoreDepartment of Health Research and Policy, Division of Epidemiology, School of Medicine, Stanford University, Stanford, California.
Daniel L RubinDepartment of Radiology, School of Medicine, Stanford University, Stanford, California.
Weiva SiehDepartment of Population Health Science and Policy, Icahn School of Medicine at Mount Sinai, New York, New York.
Laurel A HabelDivision of Research, Kaiser Permanente Northern California, Oakland, California.
Stanford University · USKaiser Permanente · USIcahn School of Medicine at Mount Sinai · USSunnybrook Health Science Centre · CAUnitedHealth Group (United States) · US

Funding

Genome-Wide Association Study of Mammographic DensityR01CA166827 · NCI · STANFORD UNIVERSITY · PI HABEL, LAUREL A, SIEH, WEIVA · 2012 to 2016
$2.3M
Mammographic Density & Prognosis among Breast Cancer Intrinsic SubtypesR01CA168893 · NCI · KAISER FOUNDATION RESEARCH INSTITUTE · PI HABEL, LAUREL A · 2012 to 2015
$2.1M
Genetic Epidemiology of Ovarian and Prostate CancerK07CA143047 · NCI · STANFORD UNIVERSITY · PI SIEH, WEIVA · 2010 to 2014
$867k
NCI NIH HHS K07 CA143047NCI NIH HHS R01 CA166827NCI NIH HHS R01 CA168893
6 · The paper itself

Abstract

Breast density is a modifiable factor that is strongly associated with breast cancer risk. We sought to understand the influence of newer technologies of full-field digital mammography (FFDM) on breast density research and to determine whether results are comparable across studies using FFDM and previous studies using traditional film-screen mammography. We studied 24,840 screening-age (40-74 years) non-Hispanic white women who were participants in the Research Program on Genes, Environment and Health of Kaiser Permanente Northern California and underwent screening mammography with either Hologic (Hologic, Inc., Marlborough, Massachusetts) or General Electric (General Electric Company, Boston, Massachusetts) FFDM machines between 2003 and 2013. We estimated the associations of parity, age at first birth, age at menarche, and menopausal status with percent density and dense area as measured by a single radiological technologist using Cumulus software (Canto Software, Inc., San Francisco, California). We found that associations between reproductive factors and mammographic density measured using processed FFDM images were generally similar in magnitude and direction to those from prior studies using film mammography. Estimated associations for both types of FFDM machines were in the same direction. There was some evidence of heterogeneity in the magnitude of the effect sizes by machine type, which we accounted for using random-effects meta-analysis when combining results. Our findings demonstrate the robustness of quantitative mammographic density measurements across FFDM and film mammography platforms.

Indexed as

Reproductive HistoryAdultAgedBreast DensityBreast NeoplasmsFemaleHumansMammographyMenarcheMenopauseMiddle AgedParityWhite Peoplebreast cancermammographic densitymammographyrisk factors

Identifiers

PMID30865217
PMCPMC6545283
OpenAlexW2922190918

What OpenQuestion holds

Textmetadata
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.