Evidence map›Paper›PMID 24698111›Full record

ArticleAnnals of epidemiology2014

Multiple metabolic risk factors and mammographic breast density.

Parisa Tehranifar, Diane Reynolds, Xiaozhou Fan, Bernadette Boden-Albala, Natalie J Engmann, Julie D Flom, Mary Beth Terry

Open access · greenAbstract read
In one paragraph

Article in Annals of epidemiology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
1.2field-weighted citation impact, top 19% 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

9 citing papers in PubMed, 12 citations in OpenAlex.

  1. Article
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  3. Metabolic Syndrome in Breast Cancer Patients: An Observational Study.Breast cancer : basic and clinical research · 2021
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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

7 authors at 3 institutions in 1 country.

Parisa TehranifarDepartment of Epidemiology, Columbia University Mailman School of Public Health, New York, NY; Herbert Irving Comprehensive Cancer Center, Columbia University Medical Center, New York, NY. Electronic address: pt140@columbia.edu.
Diane ReynoldsSchool of Nursing, Long Island University, Brooklyn Campus, Brooklyn, NY.
Xiaozhou FanDepartment of Epidemiology, Columbia University Mailman School of Public Health, New York, NY.
Bernadette Boden-AlbalaDivision of Social Epidemiology, Department of Health Evidence and Policy, Department of Neurology, ICAHN School of Medicine at Mount Sinai, New York, NY.
Natalie J EngmannDepartment of Epidemiology, Columbia University Mailman School of Public Health, New York, NY.
Julie D FlomDepartment of Epidemiology, Columbia University Mailman School of Public Health, New York, NY.
Mary Beth TerryDepartment of Epidemiology, Columbia University Mailman School of Public Health, New York, NY; Herbert Irving Comprehensive Cancer Center, Columbia University Medical Center, New York, NY.
Columbia University · USIcahn School of Medicine at Mount Sinai · USLong Island University · US

Funding

True Metal fac coreP30ES009089 · NIEHS · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI Ami R Zota · 1998 to 2026
$44.7M
Prostate Screening in Older African American and African Caribbean MenU54CA101598 · NCI · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI NEUGUT, ALFRED I. · 2003 to 2010
$4.8M
Multilevel Determinants of Breast Cancer: Translating Research into InterventionsK07CA151777 · NCI · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI TEHRANIFAR, PARISA · 2011 to 2015
$654k
NCI NIH HHS K07 CA151777NCI NIH HHS U54 CA101598NIEHS NIH HHS ES009089NIEHS NIH HHS P30 ES009089
6 · The paper itself

Abstract

purposeWe examined whether obesity and a history of diabetes, hypertension, and elevated cholesterol, individually and in combination, are associated with breast density, a strong risk factor for breast cancer.

methodsWe measured percent density and dense area using a computer-assisted method (n = 191; age range = 40-61 years). We used linear regression models to examine the associations of each metabolic condition and the number of metabolic conditions (zero, one, two, and three or four conditions) with breast density.

resultsAmong individual metabolic conditions, only high blood cholesterol was inversely associated with percent density (β = -5.4, 95% confidence interval [CI]: -8.5, -2.2) and dense area (β = -6.7, 95% CI = -11.1, -2.4). Having multiple metabolic conditions was also associated with lower breast density, with two conditions and three or four conditions versus zero conditions associated with 6.4% (95% CI: -11.2, -1.6) and 7.4% (95% CI: -12.9, -1.9) reduction in percent density and with 6.5 cm(2) (95% CI: -13.1, -0.1) and 9.5 cm(2) (95% CI: -17.1, -1.9) decrease in dense area.

conclusionsA history of high blood cholesterol and multiple metabolic conditions were associated with lower relative and absolute measures of breast density. The positive association between metabolic abnormalities and breast cancer risk may be driven by pathways unrelated to mammographic breast density.

Indexed as

AdultBreast DensityBreast NeoplasmsComorbidityFemaleHumansLinear ModelsMammary Glands, HumanMammographyMetabolic SyndromeMiddle AgedRisk FactorsCholesterolDiabetesHypertensionMammographic breast densityObesity

Identifiers

PMID24698111
PMCPMC4076948
OpenAlexW2140624432

What OpenQuestion holds

Textmetadata
LicenceTDM
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.