Evidence map›Paper›PMID 24046390›Full record

ArticleJournal of the National Cancer Institute2013

Risk factors for inflammatory breast cancer and other invasive breast cancers.

Catherine Schairer, Yan Li, Peter Frawley, Barry I Graubard, Robert D Wellman, Diana S M Buist, Karla Kerlikowske, Tracy L Onega, William F Anderson, Diana L Miglioretti

Open access · bronzeAbstract 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 39 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
39citing papers in PubMed, 1 pooled it
3.0field-weighted citation impact, top 8% 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

39 citing papers in PubMed, 1 synthesis or guideline pooled it, 68 citations in OpenAlex.

  1. Leptin signaling in breast cancer and its crosstalk with peroxisome proliferator-activated receptors α and γ.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2023
    Pooled it
  2. Reprogramming the Immune Landscape of Inflammatory Breast Cancer.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    Review
  3. Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Review
  10. Review
  11. Article
  12. Article
  13. New Treatment Strategies for the Inflammatory Breast Cancer.Current treatment options in oncology · 2021
    Review
  14. Evolution, medicine, and public health · 2021
    Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Review
  20. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

10 authors at 6 institutions in 1 country.

Catherine SchairerAffiliations of authors: Joint Program for Survey Methodology, University of Maryland, College Park, MD (YL); Group Health Research Institute, Group Health Cooperative, Seattle, WA (PF, RDW, DSMB, DLM); Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD (CS, BIG, WFA); Departments of Medicine and Epidemiology/Biostatistics University of California-San Francisco, San Francisco, CA (KK); Dartmouth Medical School, Hanover, NH (TLO); Department of Public Health Sciences, University of California Davis School of Medicine, Davis, CA (DLM).
Yan Li
Peter Frawley
Barry I Graubard
Robert D Wellman
Diana S M Buist
Karla Kerlikowske
Tracy L Onega
William F Anderson
Diana L Miglioretti
National Institutes of Health · USGroup Health Cooperative · USUniversity of California, San Francisco · USDartmouth College · USNational Cancer Institute · USUniversity of Maryland, College Park · US

Funding

Staff InvestigatorsP30CA093373 · NCI · UNIVERSITY OF CALIFORNIA DAVIS · PI Laura Marcu · 2002 to 2026
$84.9M
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
Epidemiologic Field StudiesZIACP010182 · NCI · DIVISION OF CANCER EPIDEMIOLOGY AND GENETICS · PI GAIL, MITCHELL H · 2009 to 2025
$11.9M
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
Intramural NIH HHSNCI NIH HHS HHSN261201100031CNCI NIH HHS P01 CA154292NCI NIH HHS P30 CA093373NCI 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

backgroundWe investigated risk factors for inflammatory breast cancer (IBC), a rare, aggressive, and poorly understood breast cancer that is characterized by diffuse breast skin erythema and edema.

methodsWe included 617 IBC case subjects in a nested case-control study from the Breast Cancer Surveillance Consortium database (1994-2009). We also included 1151 noninflammatory, locally advanced, invasive breast cancers with chest wall/breast skin involvement (LABC), 7600 noninflammatory invasive case subjects without chest wall/breast skin involvement (BC), and 93 654 control subjects matched to case subjects on age and year at diagnosis and mammography registry. We present estimates of rate ratios (RRs) and 95% confidence intervals (CI) from conditional logistic regression analyses for each case group vs control subjects based on multiply imputed datasets.

resultsFirst-degree family history of breast cancer and high mammographic breast density increased risk of IBC, LABC, and BC. High body mass index (BMI) increased IBC risk irrespective of menopausal status and estrogen receptor (ER) expression; rate ratios for BMI 30 and greater vs BMI less than 25 were 3.90 (95% CI = 1.50 to 10.14) in premenopausal women and 3.70 (95% CI = 1.98 to 6.94) in peri/postmenopausal women not currently using hormones. BMI 30 and greater slightly increased risk of ER-positive BC (RR = 1.40; 95% CI = 1.11 to 1.76). Statistically significant reductions in risk of ER-negative IBC with older age at first birth and of ER-positive IBC with higher education were not seen for LABC and BC of the same ER status.

conclusionsDifferent associations with BMI, age at first birth, and education between IBC and/or LABC and BC suggest a distinct etiology for IBC.

Indexed as

Body Mass IndexEducational StatusParturitionAdultAgedAge FactorsCase-Control StudiesFemaleHumansInflammatory Breast NeoplasmsLogistic ModelsMiddle AgedMultivariate AnalysisNeoplasm InvasivenessOdds RatioPostmenopauseReceptors, Estrogen

Identifiers

PMID24046390
PMCPMC3776263
OpenAlexW2132484020

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.