Evidence map›Paper›PMID 26295657›Full record

ArticleAJR. American journal of roentgenology2015

Breast Cancer Characteristics Associated With Digital Versus Film-Screen Mammography for Screen-Detected and Interval Cancers.

Louise M Henderson, Diana L Miglioretti, Karla Kerlikowske, Karen J Wernli, Brian L Sprague, Constance D Lehman

Abstract readComparative Study
In one paragraph

Article in AJR. American journal of roentgenology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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

25 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Performance of Statistical and Machine Learning Risk Prediction Models for Advanced Breast Cancer.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2026
    Article
  3. Article
  4. Article
  5. Review
  6. Article
  7. Population simulation modeling of disparities in US breast cancer mortality.Journal of the National Cancer Institute. Monographs · 2023
    Article
  8. Impact of BMI on Prevalence of Dense Breasts by Race and Ethnicity.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2023
    Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Interval breast cancers - insights into a complex phenotype.Nature reviews. Clinical oncology · 2020
    Article
  16. Review
  17. Article
  18. PAM50 and Risk of Recurrence Scores for Interval Breast Cancers.Cancer prevention research (Philadelphia, Pa.) · 2018
    Article
  19. Article
  20. 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

6 authors.

Louise M Henderson1 Department of Radiology, The University of North Carolina at Chapel Hill, 130 Mason Farm Rd, 3124 Bioinformatics Building, CB 7515, Chapel Hill, NC 27599.
Diana L Miglioretti2 Division of Biostatistics, Department of Public Health Sciences, University of California, Davis, Davis, CA.
Karla Kerlikowske3 Departments of Medicine and Epidemiology and Biostatistics, University of California, San Francisco, CA.
Karen J Wernli4 Group Health Research Institute, Seattle, WA.
Brian L Sprague5 Department of Surgery, University of Vermont, Burlington, VT.
Constance D Lehman6 Department of Radiology, University of Washington, Seattle Cancer Care Alliance, Seattle, WA.

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
Vermont Screening Process Documentation UnitU54CA163303 · NCI · UNIVERSITY OF VERMONT & ST AGRIC COLLEGE · PI SPRAGUE, BRIAN L · 2011 to 2017
$6.4M
NCI NIH HHS HHSN261201100031CNCI NIH HHS P01 CA154292NCI NIH HHS P01CA154292NCI NIH HHS U54 CA163303PHS HHS HHSN261201100031C
6 · The paper itself

Abstract

objectiveThe purpose of this study was to determine whether pathologic findings of screen-detected and interval cancers differ for digital versus film mammography. MATERIALS AND

methodsBreast Cancer Surveillance Consortium data from 2003-2011 on 3,021,515 screening mammograms (40.3% digital, 59.7% film) of women 40-89 years old were reviewed. Cancers were considered screen detected if diagnosed within 12 months of an examination with positive findings and interval if diagnosed within 12 months of an examination with negative findings. Tumor characteristics for screen-detected and interval cancers were compared for digital versus film mammography by use of logistic regression models to estimate the odds ratio and 95% CI with adjustment for age, race and ethnicity, hormone therapy use, screening interval, examination year, and registry. Generalized estimating equations were used to account for correlation within facilities.

resultsAmong 15,729 breast cancers, 85.3% were screen detected and 14.7% were interval. Digital and film mammography had similar rates of screen-detected (4.47 vs 4.42 per 1000 examinations) and interval (0.73 vs 0.79 per 1000 examinations) cancers for digital versus film. In adjusted analyses, interval cancers diagnosed after digital examinations with negative findings were less likely to be American Joint Committee on Cancer stage IIB or higher (odds ratio, 0.69; 95% CI, 0.52-0.93), have positive nodal status (odds ratio, 0.78; 95% CI, 0.64-0.95), or be estrogen receptor negative (odds ratio, 0.71; 95% CI, 0.56-0.91) than were interval cancers diagnosed after a film examination with negative findings.

conclusionScreen-detected cancers diagnosed after digital and film mammography had similar rates of unfavorable tumor characteristics. Interval-detected cancers diagnosed after a digital examination were less likely to have unfavorable tumor features than those diagnosed after film mammography, but the absolute differences were small.

Indexed as

AdultAgedAged, 80 and overBiopsyBreast NeoplasmsFemaleHumansIncidenceLymphatic MetastasisMammographyMiddle AgedPopulation SurveillanceRegistriesUnited Statesdigital mammographyfilm mammographyinterval cancerscreen-detected cancer

Identifiers

PMID26295657
PMCPMC4547477

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.