Evidence map›Paper›PMID 34059687›Full record

ArticleNPJ breast cancer2021

Automated percent mammographic density, mammographic texture variation, and risk of breast cancer: a nested case-control study.

Erica T Warner, Megan S Rice, Oana A Zeleznik, Erin E Fowler, Divya Murthy, Celine M Vachon, Kimberly A Bertrand, Bernard A Rosner, John Heine, Rulla M Tamimi

Open access · goldAbstract read
In one paragraph

Article in NPJ breast cancer, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed, 1 pooled it
4.5field-weighted citation impact, top 4% 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

23 citing papers in PubMed, 1 synthesis or guideline pooled it, 34 citations in OpenAlex.

  1. Pooled it
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  8. Reproductive Factors Related to Childbearing and a Novel Automated Mammographic Measure, V.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2024
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  15. Breast Density Analysis Using Digital Breast Tomosynthesis.bioRxiv : the preprint server for biology · 2023
    Article
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  20. Associations of Oral Contraceptives with Mammographic Breast Density in Premenopausal Women.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2022
    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

10 authors at 5 institutions in 1 country.

Erica T WarnerClinical and Translational Epidemiology Unit, Department of Medicine, Mongan Institute, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA. ewarner@mgh.harvard.edu.ORCID http://orcid.org/0000-0002-2671-0313
Megan S RiceClinical and Translational Epidemiology Unit, Department of Medicine, Mongan Institute, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA.
Oana A ZeleznikChanning Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA.ORCID http://orcid.org/0000-0002-8705-1163
Erin E FowlerDivision of Population Sciences, H. Lee Moffitt Cancer Center & Research Institute, Tampa, FL, USA.
Divya MurthyChanning Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA.
Celine M VachonDepartment of Health Sciences Research, Mayo Clinic, Rochester, MN, USA.ORCID http://orcid.org/0000-0002-1962-9322
Kimberly A BertrandSlone Epidemiology Center, Boston University, Boston, MA, USA.
Bernard A RosnerChanning Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA.
John HeineDivision of Population Sciences, H. Lee Moffitt Cancer Center & Research Institute, Tampa, FL, USA.
Rulla M TamimiChanning Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA.
Brigham and Women's Hospital · USMoffitt Cancer Center · USBoston University · USHarvard University · USMayo Clinic in Florida · US

Funding

Statistical MethodsP01CA087969 · NCI · BRIGHAM AND WOMEN'S HOSPITAL · PI ROSNER, BERNARD A · 2000 to 2019
$77.8M
Life Course Cancer Epidemiology Cohort in WomenU01CA176726 · NCI · HARVARD UNIVERSITY D/B/A HARVARD SCHOOL OF PUBLIC HEALTH · PI ELIASSEN, A. HEATHER, WILLETT, WALTER C. · 2018 to 2025
$22.4M
Long Term Multidisciplinary Study of Cancer in Women: The Nurses Health StudyUM1CA186107 · NCI · BRIGHAM AND WOMEN'S HOSPITAL · PI ELIASSEN, A. HEATHER, STAMPFER, MEIR · 2014 to 2023
$22.3M
Premonopausal Hormone Levels and Risk of Breast CancerR01CA067262 · NCI · HARVARD UNIVERSITY (SCH OF PUBLIC HLTH) · PI HANKINSON, SUSAN E · 2002 to 2011
$11.9M
BIOCHEMICAL MARKERS IN THE NURSES'HEALTH STUDY COHORTR01CA049449 · NCI · BRIGHAM AND WOMEN'S HOSPITAL · PI HANKINSON, SUSAN E · 1989 to 2008
$11.3M
Mammographic density and texture features in relation to breast cancer riskR01CA175080 · NCI · BRIGHAM AND WOMEN'S HOSPITAL · PI TAMIMI, RULLA M · 2013 to 2016
$1.7M
Race/Ethnicity and Mammographic Density: Genetic and Lifestyle FactorsK01CA188075 · NCI · MASSACHUSETTS GENERAL HOSPITAL · PI WARNER, ERICA T · 2014 to 2017
$518k
NCI NIH HHS K01 CA188075NCI NIH HHS P01 CA087969NCI NIH HHS R01 CA049449NCI NIH HHS R01 CA067262NCI NIH HHS R01 CA175080NCI NIH HHS U01 CA176726NCI NIH HHS UM1 CA186107U.S. Department of Health & Human Services | NIH | National Cancer Institute (NCI) K01CA188075U.S. Department of Health & Human Services | NIH | National Cancer Institute (NCI) P01CA87969U.S. Department of Health & Human Services | NIH | National Cancer Institute (NCI) R01CA49449U.S. Department of Health & Human Services | NIH | National Cancer Institute (NCI) R01CA67262U.S. Department of Health & Human Services | NIH | National Cancer Institute (NCI) U01CA176726U.S. Department of Health & Human Services | NIH | National Cancer Institute (NCI) U01CA186107
6 · The paper itself

Abstract

Percent mammographic density (PMD) is a strong breast cancer risk factor, however, other mammographic features, such as V, the standard deviation (SD) of pixel intensity, may be associated with risk. We assessed whether PMD, automated PMD (APD), and V, yielded independent associations with breast cancer risk. We included 1900 breast cancer cases and 3921 matched controls from the Nurses' Health Study (NHS) and the NHSII. Using digitized film mammograms, we estimated PMD using a computer-assisted thresholding technique. APD and V were determined using an automated computer algorithm. We used logistic regression to generate odds ratios (ORs) and 95% confidence intervals (CIs). Median time from mammogram to diagnosis was 4.1 years (interquartile range: 1.6-6.8 years). PMD (OR

Identifiers

PMID34059687
PMCPMC8166859
OpenAlexW3164460533

What OpenQuestion holds

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LicenceCC BY
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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.