Evidence map›Paper›PMID 23744877›Full record

ArticleJournal of the National Cancer Institute2013

Benign breast disease, mammographic breast density, and the risk of breast cancer.

Jeffrey A Tice, Ellen S O'Meara, Donald L Weaver, Celine Vachon, Rachel Ballard-Barbash, Karla Kerlikowske

Open access · greenAbstract read
In one paragraph

Article in Journal of the National Cancer Institute, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 73 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
73citing papers in PubMed, 1 pooled it
10.5field-weighted citation impact, top 1% 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

73 citing papers in PubMed, 1 synthesis or guideline pooled it, 120 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Advancing Evidence of the Associations between specific Benign Breast Diagnoses and Future Breast Cancer Risk.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2026
    Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Review
  9. Article
  10. Article
  11. Review
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Review
  19. Article
  20. Long-Term Risk of Breast Cancer after Diagnosis of Benign Breast Disease by Screening Mammography.International journal of environmental research and public health · 2022
    Article

13 more citing papers are in PubMed but not listed here.

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

6 authors at 5 institutions in 2 countries.

Jeffrey A TiceDivision of General Internal Medicine, Department of Medicine, University of California, San Francisco, CA 94143-0320, USA. jtice@medicine.ucsf.edu
Ellen S O'Meara
Donald L Weaver
Celine Vachon
Rachel Ballard-Barbash
Karla Kerlikowske
University of California, San Francisco · USApplied Research Associates · NZGroup Health Cooperative · USNational Institutes of Health · USUniversity of Vermont · US

Funding

Risk-based Imaging Strategies to Improve Breast Cancer Surveillance OutcomesP01CA154292 · NCI · UNIVERSITY OF CALIFORNIA AT DAVIS · PI Diana L Miglioretti · 2011 to 2026
$52.9M
Statistical Coordinating Center for the Breast Cancer Surveillance ConsortiumU01CA086076 · NCI · KAISER FOUNDATION HEALTH PLAN OF WASHINGTON · PI MIGLIORETTI, DIANA L · 2000 to 2011
$8.5M
IMPROVING THE QUALITY OF MAMMOGRAPHIC INTERPRETATIONU01CA063731 · NCI · KAISER FOUNDATION HEALTH PLAN OF WASHINGTON · PI BUIST, DIANA SM · 1994 to 2011
$6.7M
VERMONT BREAST CANCER SURVEILLANCE SYSTEMU01CA070013 · NCI · UNIVERSITY OF VERMONT &ST AGRIC COLLEGE · PI GELLER, BERTA M · 1995 to 2011
$6.7M
UTILITY AND OUTCOMES FROM MAMMOGRAPHY IN NORTH CAROLINAU01CA070040 · NCI · UNIV OF NORTH CAROLINA CHAPEL HILL · PI YANKASKAS, BONNIE C · 1995 to 2011
$6.4M
San Francisco Mammography Registry-A Research SourceU01CA063740 · NCI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI KERLIKOWSKE, KARLA M · 1994 to 2011
$6.2M
STRATEGIC STUDIES IN BREAST CANCER SURVEILLANCEU01CA086082 · NCI · DARTMOUTH COLLEGE · PI ONEGA, TRACY · 2000 to 2011
$4.9M
REFERRAL PATTERNS AND COST ANALYSIS OF SCREENING MAMMOGRAPHY--FOLLOW-UP/BIOPSYU01CA063736 · NCI · COOPER INSTITUTE · PI CUTTER, GARY · 1994 to 2004
$2.7M
NEW MEXICO MAMMOGRAPHY PROJECTU01CA069976 · NCI · UNIVERSITY OF NEW MEXICO · PI ROSENBERG, ROBERT D · 1995 to 2005
$2.7M
Risk factors for breast cancer molecular subtypesR01CA140286 · NCI · MAYO CLINIC ROCHESTER · PI KERLIKOWSKE, KARLA M, VACHON, CELINE M · 2010 to 2014
$2.6M
NCI NIH HHS HHSN261201100031CNCI NIH HHS P01 CA154292NCI NIH HHS P01CA154292NCI NIH HHS R01 CA140286NCI NIH HHS U01 CA063731NCI NIH HHS U01 CA063736NCI NIH HHS U01 CA063740NCI NIH HHS U01 CA069976NCI NIH HHS U01 CA070013NCI NIH HHS U01 CA070040NCI NIH HHS U01 CA086076NCI NIH HHS U01 CA086082NCI NIH HHS U01CA63731NCI NIH HHS U01CA63736NCI NIH HHS U01CA63740NCI NIH HHS U01CA69976NCI NIH HHS U01CA70013NCI NIH HHS U01CA70040NCI NIH HHS U01CA86076NCI NIH HHS U01CA86082
6 · The paper itself

Abstract

backgroundBenign breast disease and high breast density are prevalent, strong risk factors for breast cancer. Women with both risk factors may be at very high risk.

methodsWe included 42818 women participating in the Breast Cancer Surveillance Consortium who had no prior diagnosis of breast cancer and had undergone at least one benign breast biopsy and mammogram; 1359 women developed incident breast cancer in 6.1 years of follow-up (78.1% invasive, 21.9% ductal carcinoma in situ). We calculated hazard ratios (HRs) using Cox regression analysis. The referent group was women with nonproliferative changes and average density. All P values are two-sided.

resultsBenign breast disease and breast density were independently associated with breast cancer. The combination of atypical hyperplasia and very high density was uncommon (0.6% of biopsies) but was associated with the highest risk for breast cancer (HR = 5.34; 95% confidence interval [CI] = 3.52 to 8.09, P < .001). Proliferative disease without atypia (25.6% of biopsies) was associated with elevated risk that varied little across levels of density: average (HR = 1.37; 95% CI = 1.11 to 1.69, P = .003), high (HR = 2.02; 95% CI = 1.68 to 2.44, P < .001), or very high (HR = 2.05; 95% CI = 1.54 to 2.72, P < .001). Low breast density (4.5% of biopsies) was associated with low risk (HRs <1) for all benign pathology diagnoses.

conclusionsWomen with high breast density and proliferative benign breast disease are at very high risk for future breast cancer. Women with low breast density are at low risk, regardless of their benign pathologic diagnosis.

Indexed as

MammographyAdultAgedBreastBreast DiseasesBreast NeoplasmsEarly Detection of CancerFemaleFibrocystic Breast DiseaseHumansMass ScreeningMiddle AgedOdds RatioPopulation SurveillancePrecancerous ConditionsProportional Hazards Models

Identifiers

PMID23744877
PMCPMC3714021
OpenAlexW2146037965

What OpenQuestion holds

Textmetadata
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.