Evidence map›Paper›PMID 31826913›Full record

ArticleCancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology2020

Early-Life and Adult Anthropometrics in Relation to Mammographic Image Intensity Variation in the Nurses' Health Studies.

Hannah Oh, Megan S Rice, Erica T Warner, Kimberly A Bertrand, Erin E Fowler, A Heather Eliassen, Bernard A Rosner, John J Heine, Rulla M Tamimi

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, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed, 1 pooled it
–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

18 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Associations of Early-Life and Adult Anthropometric Measures with the Expression of Stem Cell Markers CD44, CD24, and ALDH1A1 in Women with Benign Breast Biopsies.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2024
    Article
  7. 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
    Article
  8. Article
  9. Article
  10. Review
  11. Article
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  13. Article
  14. 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
  15. Article
  16. Article
  17. Early-Life and Adult Adiposity, Adult Height, and Benign Breast Tissue Composition.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2021
    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

9 authors.

Hannah OhDepartment of Public Health Sciences, Graduate School, Korea University, Seoul, Republic of Korea. hannahoh@korea.ac.kr.ORCID 0000-0002-8368-3032
Megan S RiceBiostatistics, Sanofi Genzyme, Cambridge, Massachusetts.
Erica T WarnerDepartment of Medicine, Harvard Medical School and Massachusetts General Hospital, Boston, Massachusetts.ORCID 0000-0002-2671-0313
Kimberly A BertrandSlone Epidemiology Center at Boston University, Boston, Massachusetts.
Erin E FowlerDivision of Population Sciences, Moffitt Cancer Center and Research Institute, Tampa, Florida.
A Heather EliassenDepartment of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts.
Bernard A RosnerChanning Division of Network Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts.
John J HeineDivision of Population Sciences, Moffitt Cancer Center and Research Institute, Tampa, Florida.
Rulla M TamimiDepartment of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts.

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
Life Course Cancer Epidemiology Cohort in WomenUM1CA176726 · NCI · HARVARD SCHOOL OF PUBLIC HEALTH · PI WILLETT, WALTER C. · 2013 to 2017
$15.7M
Quantitative Imaging Clinical Validation Center at Moffitt Cancer CenterU01CA200464 · NCI · H. LEE MOFFITT CANCER CTR & RES INST · PI JOHN J HEINE, Matthew B. Schabath · 2016 to 2026
$9.2M
Whole Genome Association Study of Mammographic DensityR01CA131332 · NCI · BRIGHAM AND WOMEN'S HOSPITAL · PI TAMIMI, RULLA M · 2009 to 2012
$1.9M
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 CA131332NCI NIH HHS R01 CA175080NCI NIH HHS U01 CA176726NCI NIH HHS U01 CA200464NCI NIH HHS UM1 CA176726NCI NIH HHS UM1 CA186107
6 · The paper itself

Abstract

backgroundThe V measure captures grayscale intensity variation on a mammogram and is positively associated with breast cancer risk, independent of percent mammographic density (PMD), an established marker of breast cancer risk. We examined whether anthropometrics are associated with V, independent of PMD.

methodsThe analysis included 1,700 premenopausal and 1,947 postmenopausal women without breast cancer within the Nurses' Health Study (NHS) and NHSII. Participants recalled their body fatness at ages 5, 10, and 20 years using a 9-level pictogram (level 1: most lean) and reported weight at age 18 years, current adult weight, and adult height. V was estimated by calculating standard deviation of pixels on screening mammograms. Linear mixed models were used to estimate beta coefficients (ß) and 95% confidence intervals (CI) for the relationships between anthropometric measures and V, adjusting for confounders and PMD.

resultsV and PMD were positively correlated (Spearman

conclusionsOur data suggest that early-life body fatness may reflect lifelong impact on breast tissue architecture beyond breast density. However, further studies are needed to confirm the results. IMPACT: This study highlights strong inverse associations of early-life adiposity with mammographic image intensity variation.

Indexed as

Body Mass IndexAdiposityAdolescentAdultBreastBreast DensityBreast NeoplasmsCase-Control StudiesChildFemaleHumansIncidenceMammographyMenopauseMiddle AgedRisk Factors

Identifiers

PMID31826913
PMCPMC7007347

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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.