Evidence map›Paper›PMID 33733051›Full record

ArticleJNCI cancer spectrum2021

Association of Daily Alcohol Intake, Volumetric Breast Density, and Breast Cancer Risk.

Alison S Rustagi, Christopher G Scott, Stacey J Winham, Kathleen R Brandt, Aaron D Norman, Matthew R Jensen, John A Shepherd, Carrie Hruska, John J Heine, Vernon S Pankratz and 2 more

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in JNCI cancer spectrum, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.4field-weighted citation impact, top 36% 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

4 citing papers in PubMed, 4 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. 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

12 authors at 7 institutions in 1 country.

Alison S RustagiDepartment of Medicine, University of California at San Francisco, San Francisco, CA, USA.ORCID 0000-0003-4880-7658
Christopher G ScottDivision of Biomedical Statistics and Informatics, Department of Health Sciences Research, Mayo Clinic, Rochester, MN, USA.ORCID 0000-0003-1340-0647
Stacey J WinhamDivision of Biomedical Statistics and Informatics, Department of Health Sciences Research, Mayo Clinic, Rochester, MN, USA.
Kathleen R BrandtDepartment of Radiology, Mayo Clinic, Rochester, MN, USA.
Aaron D NormanDivision of Biomedical Statistics and Informatics, Department of Health Sciences Research, Mayo Clinic, Rochester, MN, USA.ORCID 0000-0002-4208-2708
Matthew R JensenDivision of Biomedical Statistics and Informatics, Department of Health Sciences Research, Mayo Clinic, Rochester, MN, USA.
John A ShepherdDepartment of Epidemiology, University of Hawaii, Honolulu, HI, USA.
Carrie HruskaDivision of Medical Physics, Department of Radiology, Mayo Clinic, Rochester, MN, USA.
John J HeineCancer Epidemiology Department, MCC, Moffitt Cancer Center & Research Institute, Tampa, FL, USA.
Vernon S PankratzDepartment of Internal Medicine and Biochemistry, University of New Mexico Health Sciences Center, Albuquerque, NM, USA.
Karla KerlikowskeDepartments of Epidemiology and Biostatistics and General Internal Medicine Section, Department of Veterans Affairs, University of California at San Francisco, San Francisco, CA, USA.
Celine M VachonDivision of Epidemiology, Department of Health Sciences Research, Mayo Clinic, Rochester, MN, USA.
Mayo Clinic in Florida · USMayo Clinic in Arizona · USMoffitt Cancer Center · USSan Francisco VA Medical Center · USUniversity of California, San Francisco · USUniversity of Hawaii System · USUniversity of New Mexico · US

Funding

Women's Cancer ProgramP30CA015083 · NCI · MAYO CLINIC ROCHESTER · PI AKHILESH PANDEY · 1985 to 2026
$151.3M
Risk-based Imaging Strategies to Improve Breast Cancer Surveillance OutcomesP01CA154292 · NCI · UNIVERSITY OF CALIFORNIA AT DAVIS · PI KARLA M KERLIKOWSKE · 2011 to 2026
$52.9M
Automated Density Measures for Estimating Breast Cancer Risk and Therapy ResponseR01CA177150 · NCI · MAYO CLINIC ROCHESTER · PI KERLIKOWSKE, KARLA M, VACHON, CELINE M · 2013 to 2017
$3.0M
Dietary sulfur, the gut microbiome, and colorectal cancerR01CA202704 · NCI · MASSACHUSETTS GENERAL HOSPITAL · PI CHAN, ANDREW T, GARRETT, WENDY S. · 2016 to 2020
$2.8M
Automated Quantitative Measures of Breast DensityR01CA166269 · NCI · H. LEE MOFFITT CANCER CTR & RES INST · PI HEINE, JOHN J · 2013 to 2016
$2.5M
NCI NIH HHS P01 CA154292NCI NIH HHS P30 CA015083NCI NIH HHS R01 CA166269NCI NIH HHS R01 CA177150NCI NIH HHS R01 CA202704
6 · The paper itself

Abstract

High alcohol intake and breast density increase breast cancer (BC) risk, but their interrelationship is unknown. We examined whether volumetric density modifies and/or mediates the alcohol-BC association. BC cases (n = 2233) diagnosed from 2006 to 2013 in the San Francisco Bay area had screening mammograms 6 or more months before diagnosis; controls (n = 4562) were matched on age, mammogram date, race or ethnicity, facility, and mammography machine. Logistic regression was used to estimate alcohol-BC associations adjusted for age, body mass index, and menopause; interaction terms assessed modification. Percent mediation was quantified as the ratio of log (odds ratios [ORs]) from models with and without density measures. Alcohol consumption was associated with increased BC risk (2-sided

Indexed as

Breast DensityAge FactorsAlcohol DrinkingBody Mass IndexBreast NeoplasmsCase-Control StudiesFemaleHumansMammographyMenopauseMiddle AgedOdds RatioSan Francisco

Identifiers

PMID33733051
PMCPMC7952225
OpenAlexW3128543765

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.