Evidence map›Paper›PMID 37144178›Full record

ArticleJAAD international2023

Implementing the Melanocytic Pathology Assessment Tool and Hierarchy for Diagnosis: Long-term effect of a simple educational intervention.

Lisa M Reisch, Hannah Shucard, Andrea C Radick, Megan M Eguchi, David E Elder, Raymond L Barnhill, Michael W Piepkorn, Stevan R Knezevich, Kathleen F Kerr, Joann G Elmore

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in JAAD international, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact, top 97% 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

0 citing papers in PubMed, 0 citations in OpenAlex.

No citing paper in PubMed yet.

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

10 authors at 5 institutions in 2 countries.

Lisa M ReischDepartment of Biostatistics, University of Washington, Seattle, Washington.
Hannah ShucardDepartment of Biostatistics, University of Washington, Seattle, Washington.
Andrea C RadickDepartment of Biostatistics, University of Washington, Seattle, Washington.
Megan M EguchiDepartment of Medicine, University of California, Los Angeles, David Geffen School of Medicine, Los Angeles, California.
David E ElderDepartment of Pathology and Laboratory Medicine, Hospital of the University of Pennsylvania, Philadelphia, Pennsylvania.
Raymond L BarnhillDepartment of Translational Research, Institut Curie, Paris Sciences and Lettres Research University, and University of Paris UFR of Medicine, Paris, France.
Michael W PiepkornDivision of Dermatology, Department of Medicine, University of Washington School of Medicine, Seattle, Washington.
Stevan R KnezevichPathology Associates, Clovis, California.
Kathleen F KerrDepartment of Biostatistics, University of Washington, Seattle, Washington.
Joann G ElmoreDepartment of Medicine, University of California, Los Angeles, David Geffen School of Medicine, Los Angeles, California.
University of Washington · USUniversity of California, Los Angeles · USClovis Oncology (United States) · USHospital of the University of Pennsylvania · USUniversité Paris Cité · FR

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

Background: A standardized pathology management tool for melanocytic skin lesions may improve patient care by simplifying interpretation and categorization of the diverse terminology currently extant. Objective: To assess an online educational intervention that teaches dermatopathologists to use the Melanocytic Pathology Assessment Tool and Hierarchy for Diagnosis (MPATH-Dx), a schema collapsing multiple diagnostic terms into 5 classes ranging from benign to invasive melanoma. Methods: Practicing dermatopathologists ( Results: At preintervention, confidence using the MPATH-Dx tool was already high, despite 68% lacking prior familiarity with it, and confidence increased postintervention ( Limitations: Future research should examine implementing a standardized pathology assessment schema in actual clinical practice. Conclusion: Dermatopathologists can be taught to confidently and competently use the MPATH-Dx schema with a simple educational tutorial followed by practice.

Indexed as

continuing medical educationdermatopathologyintervention studymelanocytic skin lesionstandardized histology schema

Identifiers

PMID37144178
PMCPMC10151420
OpenAlexW4323981127

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.