Evidence map›Paper›PMID 29524584›Full record

ArticleJournal of the American Academy of Dermatology2018

Pathologist characteristics associated with accuracy and reproducibility of melanocytic skin lesion interpretation.

David E Elder, Michael W Piepkorn, Raymond L Barnhill, Gary M Longton, Heidi D Nelson, Stevan R Knezevich, Margaret S Pepe, Patricia A Carney, Linda J Titus, Tracy Onega and 3 more

Open access · greenAbstract read
In one paragraph

Article in Journal of the American Academy of Dermatology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 1 pooled it
1.8field-weighted citation impact, top 12% 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

12 citing papers in PubMed, 1 synthesis or guideline pooled it, 31 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Are Pathologists Self-Aware of Their Diagnostic Accuracy? Metacognition and the Diagnostic Process in Pathology.Medical decision making : an international journal of the Society for Medical Decision Making · 2023
    Article
  5. Article
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  7. Article
  8. Review
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  10. Review
  11. MicroRNA Ratios Distinguish Melanomas from Nevi.The Journal of investigative dermatology · 2020
    Article
  12. 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

13 authors at 10 institutions in 2 countries.

David E ElderDepartment of Pathology and Laboratory Medicine, Hospital of the University of Pennsylvania, Philadelphia, Pennsylvania.
Michael W PiepkornDivision of Dermatology, Department of Medicine, University of Washington School of Medicine, Seattle, Washington; Dermatopathology Northwest, Bellevue, Washington.
Raymond L BarnhillDepartment of Pathology, Institut Curie, Paris, France; University of Paris Descartes, Paris, France.
Gary M LongtonProgram in Biostatistics and Biomathematics, Fred Hutchinson Cancer Research Center, Seattle, Washington.
Heidi D NelsonDepartment of Medical Informatics and Clinical Epidemiology, Oregon Health and Science University, Portland, Oregon; Department of Medicine, Oregon Health and Science University, Portland, Oregon.
Stevan R KnezevichPathology Associates, Clovis, California.
Margaret S PepeProgram in Biostatistics and Biomathematics, Fred Hutchinson Cancer Research Center, Seattle, Washington.
Patricia A CarneyDepartment of Family Medicine, Oregon Health and Science University, Portland, Oregon.
Linda J TitusDepartment of Epidemiology, Geisel School of Medicine at Dartmouth, Norris Cotton Cancer Center, Lebanon, New Hampshire; Department of Pediatrics, Geisel School of Medicine at Dartmouth, Norris Cotton Cancer Center, Lebanon, New Hampshire.
Tracy OnegaDepartment of Biomedical Data Science, Department of Epidemiology, Norris Cotton Cancer Center, Lebanon, New Hampshire; Geisel School of Medicine at Dartmouth, The Dartmouth Institute for Health Policy and Clinical Practice, Lebanon, New Hampshire.
Anna N A TostesonDepartment of Medicine, The Dartmouth Institute for Health Policy and Clinical Practice, Geisel School of Medicine at Dartmouth, Norris Cotton Cancer Center, Lebanon, New Hampshire; Department of Community and Family Medicine, The Dartmouth Institute for Health Policy and Clinical Practice, Geisel School of Medicine at Dartmouth, Norris Cotton Cancer Center, Lebanon, New Hampshire.
Martin A WeinstockCenter for Dermatoepidemiology, VA Medical Center, Providence Department of Dermatology, Rhode Island Hospital, Providence, Rhode Island; Department of Dermatology, Brown University, Providence, Rhode Island; Department of Epidemiology, Brown University, Providence, Rhode Island.
Joann G ElmoreDepartment of Medicine, University of Washington School of Medicine, Seattle, Washington. Electronic address: jelmore@uw.edu.
Fred Hutch Cancer Center · USOregon Health & Science University · USUniversity of Washington · USBrown University · USClovis Oncology (United States) · USCotton (United States) · USDartmouth College · USDartmouth Institute for Health Policy and Clinical Practice · USHospital of the University of Pennsylvania · USInstitut Curie · FR

Funding

Translational Engineering in Cancer (TEC)P30CA023108 · NCI · DARTMOUTH COLLEGE · PI Steven D Leach · 1985 to 2026
$91.3M
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
Improving Accuracy &Outcomes of Breast Cancer ScreeningK05CA104699 · NCI · UNIVERSITY OF WASHINGTON · PI ELMORE, JOANN G · 2004 to 2014
$1.2M
NCI NIH HHS K05 CA104699NCI NIH HHS P30 CA023108NCI NIH HHS R01 CA151306NCI NIH HHS R01 CA201376
6 · The paper itself

Abstract

backgroundDiagnostic interpretations of melanocytic skin lesions vary widely among pathologists, yet the underlying reasons remain unclear.

objectiveIdentify pathologist characteristics associated with rates of accuracy and reproducibility.

methodsPathologists independently interpreted the same set of biopsy specimens from melanocytic lesions on 2 occasions. Diagnoses were categorized into 1 of 5 classes according to the Melanocytic Pathology Assessment Tool and Hierarchy for Diagnosis system. Reproducibility was determined by pathologists' concordance of diagnoses across 2 occasions. Accuracy was defined by concordance with a consensus reference standard. Associations of pathologist characteristics with reproducibility and accuracy were assessed individually and in multivariable logistic regression models.

resultsRates of diagnostic reproducibility and accuracy were highest among pathologists with board certification and/or fellowship training in dermatopathology and in those with 5 or more years of experience. In addition, accuracy was high among pathologists with a higher proportion of melanocytic lesions in their caseload composition and higher volume of melanocytic lesions. LIMITATIONS: Data gathered in a test set situation by using a classification tool not currently in clinical use.

conclusionDiagnoses are more accurate among pathologists with specialty training and those with more experience interpreting melanocytic lesions. These findings support the practice of referring difficult cases to more experienced pathologists to improve diagnostic accuracy, although the impact of these referrals on patient outcomes requires additional research.

Indexed as

PathologistsBiopsy, NeedleClinical CompetenceConsensusCutaneous Malignant MelanomaDelphi TechniqueFemaleHumansMaleMelanomaObserver VariationPathology, ClinicalSkin Neoplasmsdermatopathologydiagnosisdiscordancemelanocytic lesionsmelanomaobserver variabilitypathologist characteristics

Identifiers

PMID29524584
PMCPMC6016831
OpenAlexW2794306816

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.