Evidence map›Paper›PMID 29717800›Full record

ArticleJournal of cutaneous pathology2018

Influence of variability in assessment of Breslow thickness, mitotic rate and ulceration among US pathologists interpreting invasive melanoma, for the purpose of AJCC staging.

Laura Taylor, Kyle Hood, Lisa Reisch, Joann Elmore, Michael Piepkorn, Raymond Barnhill, Stevan Knezevich, Andrea Radick, David Elder

Abstract read
In one paragraph

Article in Journal of cutaneous pathology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
0.6field-weighted citation impact, top 29% 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

7 citing papers in PubMed, 9 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Article
  6. Article
  7. Deep Learning Based on Standard H&E Images of Primary Melanoma Tumors Identifies Patients at Risk for Visceral Recurrence and Death.Clinical cancer research : an official journal of the American Association for Cancer Research · 2020
    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

9 authors at 6 institutions in 2 countries.

Laura TaylorDepartment of Dermatology, Hospital of the University of Pennsylvania, Philadelphia, Pennsylvania.
Kyle HoodBureau of Economic Analysis, Suitland, Maryland.
Lisa ReischDepartment of Medicine, University of Washington School of Medicine, Seattle, Washington.
Joann ElmoreDavid Geffen School of Medicine at UCLA, Los Angeles, California.
Michael PiepkornDivision of Dermatology, Department of Medicine, University of Washington School of Medicine, Seattle, Washington.
Raymond BarnhillDepartment of Pathology, Institut Curie Paris Sciences and Lettres Research University, and Faculty of Medicine University of Paris Descartes, Paris, France.
Stevan KnezevichPathology Associates, Clovis, California.
Andrea RadickDepartment of Medicine, University of Washington School of Medicine, Seattle, Washington.ORCID http://orcid.org/0000-0003-2183-6539
David ElderDepartment of Pathology and Laboratory Medicine, Hospital of the University of Pennsylvania, Philadelphia, Pennsylvania.ORCID http://orcid.org/0000-0001-5012-152X
University of Washington · USHospital of the University of Pennsylvania · USBureau of Economic Analysis · USClovis Oncology (United States) · USDélégation Paris 5 · FRUniversity of California, Los Angeles · US

Funding

Accuracy in the Diagnosis of Melanoma & the Impact of Double ReadingR01CA151306 · NCI · UNIVERSITY OF WASHINGTON · PI ELMORE, JOANN G · 2011 to 2015
$4.1M
Reducing Errors in the Diagnosis of Melanoma and Melanocytic LesionsR01CA201376 · NCI · UNIVERSITY OF WASHINGTON · PI ELMORE, JOANN G, KERR, KATHLEEN F. · 2016 to 2020
$3.2M
NCI NIH HHS R01 CA151306NCI NIH HHS R01 CA201376
6 · The paper itself

Abstract

backgroundMelanoma staging has depended on depth of invasion (Breslow thickness, BT), mitotic rate (MR) and ulceration. In anticipation of the AJCC's eighth edition, variability in pathologists' assessment of these factors and consequently in tumor staging was assessed.

methodsOne-hundred and fifteen cases of invasive melanoma, established by a consensus panel, were assessed by 187 pathologists. Variation was studied in BT, the detection of mitotic figures, and ulceration. The sources of this variation and its effect on tumor staging are considered.

resultsOn average, participant assessments closely approached consensus BT. Greater variation was identified in the classification of mitogenicity, which (like ulceration) upstages a T1 melanoma from T1a to T1b in the seventh but not eighth edition. In cases with a T1a diagnosis by the consensus panel, 15.6% of participants identified one or more mitotic figures (indicative of a false positive); and in cases diagnosed asT1b by the consensus panel, 32.0% of participants failed to find mitotic figures (false negative).

conclusionVariability in the staging of T1 melanoma among pathologists when using the AJCC seventh edition criteria is closely related to the detection of mitotic figures, with BT playing a less prominent role. Decreased variability is expected after implementation of the eighth edition.

Indexed as

HumansMelanomaMitotic IndexNeoplasm StagingSkin NeoplasmsSkin Ulcerdermatopathologymelanocytic lesionsmelanoma

Identifiers

PMID29717800
PMCPMC6450684
OpenAlexW2801868518

What OpenQuestion holds

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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.