Evidence map›Paper›PMID 34418768›Full record

ArticleAnnals of diagnostic pathology2021

The utility of digital pathology in improving the diagnostic skills of pathology trainees in commonly encountered pigmented cutaneous lesions during the COVID-19 pandemic: A single academic institution experience.

Woo Cheal Cho, Pavandeep Gill, Phyu P Aung, Jun Gu, Priyadharsini Nagarajan, Doina Ivan, Jonathan L Curry, Victor G Prieto, Carlos A Torres-Cabala

Open access · greenAbstract read
In one paragraph

Article in Annals of diagnostic pathology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.2field-weighted citation impact, top 48% 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

2 citing papers in PubMed, 2 citations in OpenAlex.

  1. Review
  2. 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 1 institution in 1 country.

Woo Cheal ChoDepartment of Pathology, University of Texas, MD Anderson Cancer Center, United States of America.
Pavandeep GillDepartment of Pathology, University of Texas, MD Anderson Cancer Center, United States of America.
Phyu P AungDepartment of Pathology, University of Texas, MD Anderson Cancer Center, United States of America.
Jun GuSchool of Health Professions, University of Texas, MD Anderson Cancer Center, United States of America.
Priyadharsini NagarajanDepartment of Pathology, University of Texas, MD Anderson Cancer Center, United States of America.
Doina IvanDepartment of Pathology, University of Texas, MD Anderson Cancer Center, United States of America.
Jonathan L CurryDepartment of Pathology, University of Texas, MD Anderson Cancer Center, United States of America.
Victor G PrietoDepartment of Pathology, University of Texas, MD Anderson Cancer Center, United States of America.
Carlos A Torres-CabalaDepartment of Pathology, University of Texas, MD Anderson Cancer Center, United States of America. Electronic address: ctcabala@mdanderson.org.
The University of Texas MD Anderson Cancer Center · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Digital pathology has become an integral part of pathology education in recent years, particularly during the COVID-19 pandemic, for its potential utility as a teaching tool that augments the traditional 1-to-1 sign-out experience. Herein, we evaluate the utility of whole slide imaging (WSI) in reducing diagnostic errors in pigmented cutaneous lesions by pathology fellows without subspecialty training in dermatopathology. Ten cases of 4 pigmented cutaneous lesions commonly encountered by general pathologists were selected. Corresponding whole slide images were distributed to our fellows, along with two sets of online surveys, each composed of 10 multiple-choice questions with 4 answers. Identical cases were used for both surveys to minimize variability in trainees' scores depending on the perceived level of difficulty, with the second set being distributed after random shuffling. Brief image-based teaching slides as self-assessment tool were provided to trainees between each survey. Pre- and post-self-assessment scores were analyzed. 61% (17/28) and 39% (11/28) of fellows completed the first and second surveys, respectively. The mean score in the first survey was 5.2/10. The mean score in the second survey following self-assessment increased to 7.2/10. 64% (7/11) of trainees showed an improvement in their scores, with 1 trainee improving his/her score by 8 points. No fellow scored less post-self-assessment than on the initial assessment. The difference in individual scores between two surveys was statistically significant (p = 0.003). Our study demonstrates the utility of WSI-based self-assessment learning as a source of improving diagnostic skills of pathology trainees in a short period of time.

Indexed as

Clinical CompetenceCOVID-19Diagnostic ErrorsEducation, DistanceEducation, Medical, GraduateFellowships and ScholarshipsHumansImage Interpretation, Computer-AssistedPathology, ClinicalSkin DiseasesUnited StatesCOVID-19 pandemicDiagnostic skillsDigital pathologyPathology trainee educationSelf-assessmentWhole slide imaging

Identifiers

PMID34418768
PMCPMC8450757
OpenAlexW3156793509

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.