Evidence map›Paper›PMID 25757805›Full record

ArticleHormones & cancer2015

Relationship of serum estrogens and metabolites with area and volume mammographic densities.

Gretchen L Gierach, Deesha A Patel, Roni T Falk, Ruth M Pfeiffer, Berta M Geller, Pamela M Vacek, Donald L Weaver, Rachael E Chicoine, John A Shepherd, Amir Pasha Mahmoudzadeh and 8 more

Open access · bronzeAbstract read
In one paragraph

Article in Hormones & cancer, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
1.4field-weighted citation impact, top 17% 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

10 citing papers in PubMed, 13 citations in OpenAlex.

  1. Trial
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  4. Observational
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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 6 institutions in 2 countries.

Gretchen L GierachHormonal and Reproductive Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA, gierachg@mail.nih.gov.
Deesha A Patel
Roni T Falk
Ruth M Pfeiffer
Berta M Geller
Pamela M Vacek
Donald L Weaver
Rachael E Chicoine
John A Shepherd
Amir Pasha Mahmoudzadeh
Jeff Wang
Bo Fan
Sally D Herschorn
Xia Xu
Timothy Veenstra
Barbara Fuhrman
Mark E Sherman
Louise A Brinton
National Institutes of Health · USUniversity of Vermont · USUniversity of California, San Francisco · USFrederick National Laboratory for Cancer Research · USLeidos (United States) · USUniversity of Arkansas for Medical Sciences · US

Funding

Hormone-Related CancersZIACP010126 · NCI · DIVISION OF CANCER EPIDEMIOLOGY AND GENETICS · PI GIERACH, GRETCHEN · 2009 to 2025
$103.5M
WEIGHT MAINTENANCE AND PSYCHOLOGICAL BENEFITS OF EXERCISEM01RR000109 · NCRR · UNIVERSITY OF VERMONT &ST AGRIC COLLEGE · PI KIRKPATRICK, BETH DIANE · 1985 to 2010
$24.3M
VERMONT BREAST CANCER SURVEILLANCE SYSTEMU01CA070013 · NCI · UNIVERSITY OF VERMONT &ST AGRIC COLLEGE · PI GELLER, BERTA M · 1995 to 2011
$6.7M
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
Subregional Breast Density and Cancer RiskR21CA157254 · NCI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI SHEPHERD, JOHN ALAN · 2012 to 2013
$357k
CCR NIH HHS HHSN261200800001CIntramural NIH HHS ZIA CP010126NCI NIH HHS 1R21CA157254NCI NIH HHS HHSN261200800001ENCI NIH HHS R01 CA166945NCI NIH HHS R21 CA157254NCI NIH HHS U01 CA070013NCI NIH HHS U01CA70013NCRR NIH HHS M01 RR000109
6 · The paper itself

Abstract

Elevated mammographic density is a breast cancer risk factor, which has a suggestive, but unproven, relationship with increased exposure to sex steroid hormones. We examined associations of serum estrogens and estrogen metabolites with area and novel volume mammographic density measures among 187 women, ages 40-65, undergoing diagnostic breast biopsies at an academic facility in Vermont. Serum parent estrogens, estrone and estradiol, and their 2-, 4-, and 16-hydroxylated metabolites were measured using liquid chromatography-tandem mass spectrometry. Area mammographic density was measured in the breast contralateral to the biopsy using thresholding software; volume mammographic density was quantified using a density phantom. Linear regression was used to estimate associations of estrogens with mammographic densities, adjusted for age and body mass index, and stratified by menopausal status and menstrual cycle phase. Weak, positive associations between estrogens, estrogen metabolites, and mammographic density were observed, primarily among postmenopausal women. Among premenopausal luteal phase women, the 16-pathway metabolite estriol was associated with percent area (p = 0.04) and volume (p = 0.05) mammographic densities and absolute area (p = 0.02) and volume (p = 0.05) densities. Among postmenopausal women, levels of total estrogens, the sum of parent estrogens, and 2-, 4- and 16-hydroxylation pathway metabolites were positively associated with area density measures (percent: p = 0.03, p = 0.04, p = 0.01, p = 0.02, p = 0.07; absolute: p = 0.02, p = 0.02, p = 0.01, p = 0.02, p = 0.03, respectively) but not volume density measures. Our data suggest that serum estrogen profiles are weak determinants of mammographic density and that analysis of different density metrics may provide complementary information about relationships of estrogen exposure to breast tissue composition.

Indexed as

AdultAgedBreast DensityBreast NeoplasmsChromatography, LiquidEstrogensFemaleHumansMammary Glands, HumanMammographyMiddle AgedRadiographic Image Interpretation, Computer-AssistedTandem Mass SpectrometryEstrogens

Identifiers

PMID25757805
PMCPMC4558904
OpenAlexW2090058679

What OpenQuestion holds

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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.