Evidence map›Paper›PMID 28535496›Full record

ArticleEuropean journal of cancer (Oxford, England : 1990)2017

The diagnostic challenge of low-grade ductal carcinoma in situ.

Tracy Onega, Donald L Weaver, Paul D Frederick, Kimberly H Allison, Anna N A Tosteson, Patricia A Carney, Berta M Geller, Gary M Longton, Heidi D Nelson, Natalia V Oster and 2 more

Abstract read
In one paragraph

Article in European journal of cancer (Oxford, England : 1990), 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed
–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

23 citing papers in PubMed.

  1. Article
  2. Article
  3. Characterizing Interpretive and Diagnostic Competency Development in Pathology Training.Modern pathology : an official journal of the United States and Canadian Academy of Pathology, Inc · 2025
    Article
  4. Observational
  5. Article
  6. Article
  7. Machine learning classification of diagnostic accuracy in pathologists interpreting breast biopsies.Journal of the American Medical Informatics Association : JAMIA · 2024
    Article
  8. From Image to Diagnosis: Characterizing Sources of Error in Histopathologic Interpretation.Modern pathology : an official journal of the United States and Canadian Academy of Pathology, Inc · 2023
    Article
  9. Should low-risk DCIS lose the cancer label? An evidence review.Breast cancer research and treatment · 2023
    Review
  10. Article
  11. Article
  12. Article
  13. Improving DCIS diagnosis and predictive outcome by applying artificial intelligence.Biochimica et biophysica acta. Reviews on cancer · 2021
    Review
  14. Article
  15. Observational
  16. Article
  17. Article
  18. Observational
  19. Review
  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

12 authors.

Tracy OnegaDepartment of Biomedical Data Science, Department of Epidemiology, The Dartmouth Institute for Health Policy and Clinical Practice and Norris Cotton Cancer Center, Geisel School of Medicine at Dartmouth, Lebanon, NH, USA. Electronic address: Tracy.L.Onega@dartmouth.edu.
Donald L WeaverDepartment of Pathology, University of Vermont and UVM Cancer Center, Burlington, VT, USA.
Paul D FrederickDepartment of Medicine, University of Washington School of Medicine, Seattle, WA, USA.
Kimberly H AllisonDepartment of Pathology, Stanford University School of Medicine, Stanford, CA, USA.
Anna N A TostesonDepartment of Medicine, The Dartmouth Institute for Health Policy and Clinical Practice and Norris Cotton Cancer Center, Geisel School of Medicine at Dartmouth, Lebanon, NH, USA.
Patricia A CarneyDepartment of Family Medicine, Oregon Health and Science University, Portland, OR, USA.
Berta M GellerDepartment of Family Medicine, University of Vermont, Burlington, VT 05401, USA.
Gary M LongtonDepartment of Biostatistics, University of Washington, Seattle, WA 98101, USA.
Heidi D NelsonProvidence Cancer Center, Providence Health and Services Oregon, and Department of Medical Informatics and Clinical Epidemiology and Department of Medicine, Oregon Health & Science University, Portland, OR, USA.
Natalia V OsterDepartment of Medicine, University of Washington School of Medicine, Seattle, WA, USA.
Margaret S PepeDepartment of Biostatistics, University of Washington, Seattle, WA 98101, USA.
Joann G ElmoreDepartment of Medicine, University of Washington School of Medicine, Seattle, WA, USA.

Funding

Translational Engineering in Cancer (TEC)P30CA023108 · NCI · DARTMOUTH COLLEGE · PI Steven D Leach · 1985 to 2026
$91.3M
VERMONT BREAST CANCER SURVEILLANCE SYSTEMU01CA070013 · NCI · UNIVERSITY OF VERMONT &ST AGRIC COLLEGE · PI GELLER, BERTA M · 1995 to 2011
$6.7M
Vermont Screening Process Documentation UnitU54CA163303 · NCI · UNIVERSITY OF VERMONT & ST AGRIC COLLEGE · PI SPRAGUE, BRIAN L · 2011 to 2017
$6.4M
STRATEGIC STUDIES IN BREAST CANCER SURVEILLANCEU01CA086082 · NCI · DARTMOUTH COLLEGE · PI ONEGA, TRACY · 2000 to 2011
$4.9M
Accuracy of Breast Pathology and the Impact of Double ReadingR01CA140560 · NCI · UNIVERSITY OF WASHINGTON · PI ELMORE, JOANN G, WEAVER, DONALD LEE · 2009 to 2013
$3.3M
Digital Pathology_Accuracy Viewing Behavior and Image CharacterizationR01CA172343 · NCI · UNIVERSITY OF WASHINGTON · PI SHAPIRO, LINDA, WEAVER, DONALD LEE · 2013 to 2017
$3.2M
Improving Accuracy &Outcomes of Breast Cancer ScreeningK05CA104699 · NCI · UNIVERSITY OF WASHINGTON · PI ELMORE, JOANN G · 2004 to 2014
$1.2M
NCI NIH HHS HHSN261201100031CNCI NIH HHS K05 CA104699NCI NIH HHS P30 CA023108NCI NIH HHS R01 CA140560NCI NIH HHS R01 CA172343NCI NIH HHS U01 CA070013NCI NIH HHS U01 CA086082NCI NIH HHS U54 CA163303
6 · The paper itself

Abstract

backgroundDiagnostic agreement among pathologists is 84% for ductal carcinoma in situ (DCIS). Studies of interpretive variation according to grade are limited.

methodsA national sample of 115 pathologists interpreted 240 breast pathology test set cases in the Breast Pathology Study and their interpretations were compared to expert consensus interpretations. We assessed agreement of pathologists' interpretations with a consensus reference diagnosis of DCIS dichotomised into low- and high-grade lesions. Generalised estimating equations were used in logistic regression models of rates of under- and over-interpretation of DCIS by grade.

resultsWe evaluated 2097 independent interpretations of DCIS (512 low-grade DCIS and 1585 high-grade DCIS). Agreement with reference diagnoses was 46% (95% confidence interval [CI] 42-51) for low-grade DCIS and 83% (95% CI 81-86) for high-grade DCIS. The proportion of reference low-grade DCIS interpretations over-interpreted by pathologists (i.e. categorised as either high-grade DCIS or invasive cancer) was 23% (95% CI 19-28); 30% (95% CI 26-34) were interpreted as a lower diagnostic category (atypia or benign proliferative). Reference high-grade DCIS was under-interpreted in 14% (95% CI 12-16) of observations and only over-interpreted 3% (95% CI 2-4).

conclusionGrade is a major factor when examining pathologists' variability in diagnosing DCIS, with much lower agreement for low-grade DCIS cases compared to high-grade. These findings support the hypothesis that low-grade DCIS poses a greater interpretive challenge than high-grade DCIS, which should be considered when developing DCIS management strategies.

Indexed as

AdultAgedBiopsyBreast NeoplasmsCarcinoma, Ductal, BreastCarcinoma, Intraductal, NoninfiltratingClinical CompetenceFemaleHumansLogistic ModelsMiddle AgedNeoplasm StagingObserver VariationPathology, ClinicalBreast pathologyDuctal carcinoma in situGradePathology interpretation

Identifiers

PMID28535496
PMCPMC5562412

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Registered trials

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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.