Evidence map›Paper›PMID 33088907›Full record

ArticleAcademic pathology

Pathology Trainees' Experience and Attitudes on Use of Digital Whole Slide Images.

Joann G Elmore, Hannah Shucard, Annie C Lee, Pin-Chieh Wang, Kathleen F Kerr, Patricia A Carney, Trafton Drew, Tad T Brunyé, Donald L Weaver

Abstract read
In one paragraph

Article in Academic pathology. 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
–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

7 citing papers in PubMed.

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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.

Joann G ElmoreDepartment of Medicine, University of California, Los Angeles, Los Angeles, CA, USA.ORCID https://orcid.org/0000-0002-7311-6835
Hannah ShucardDepartment of Biostatistics, University of Washington, Seattle, WA, USA.
Annie C LeeDepartment of Medicine, University of California, Los Angeles, Los Angeles, CA, USA.
Pin-Chieh WangDepartment of Medicine, University of California, Los Angeles, Los Angeles, CA, USA.
Kathleen F KerrDepartment of Biostatistics, University of Washington, Seattle, WA, USA.ORCID https://orcid.org/0000-0002-6438-9583
Patricia A CarneyDepartment of Family Medicine, Oregon Health and Science University, Portland, OR, USA.
Trafton DrewDepartment of Psychology, University of Utah, Salt Lake City, UT, USA.
Tad T BrunyéDepartment of Psychology, Tufts University, Medford, MA, USA.
Donald L WeaverDepartment of Pathology and Laboratory Medicine, University of Vermont, Larner College of Medicine, Burlington, VT, USA.

Funding

Reader Accuracy in Pathology Interpretation and Diagnosis: Perception and Cognition (RAPID-PC)R01CA225585 · NCI · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI ELMORE, JOANN G, WEAVER, DONALD LEE · 2018 to 2022
$3.2M
Improving Melanoma Pathology Accuracy through Computer Vision Techniques - the IMPACT StudyR01CA200690 · NCI · UNIVERSITY OF WASHINGTON · PI ELMORE, JOANN G, SHAPIRO, LINDA · 2016 to 2020
$1.9M
A Unified Machine Learning Package for Cancer DiagnosisU01CA231782 · NCI · UNIVERSITY OF WASHINGTON · PI ELMORE, JOANN G, SHAPIRO, LINDA · 2018 to 2020
$980k
NCI NIH HHS R01 CA200690NCI NIH HHS R01 CA225585NCI NIH HHS U01 CA231782
6 · The paper itself

Abstract

Digital whole slide images are Food and Drug Administration approved for clinical diagnostic use in pathology; however, integration is nascent. Trainees from 9 pathology training programs completed an online survey to ascertain attitudes toward and experiences with whole slide images for pathological interpretations. Respondents (n = 76) reported attending 63 unique medical schools (45 United States, 18 international). While 63% reported medical school exposure to whole slide images, most reported ≤ 5 hours. Those who began training more recently were more likely to report at least some exposure to digital whole slide image training in medical school compared to those who began training earlier: 75% of respondents beginning training in 2017 or 2018 reported exposure to whole slide images compared to 54% for trainees beginning earlier. Trainees exposed to whole slide images in medical school were more likely to agree they were comfortable using whole slide images for interpretation compared to those not exposed (29% vs 12%;

Indexed as

digital pathologydigital whole slide imagingmedical educationoptical microscopypathology trainingvirtual microscopy

Identifiers

PMID33088907
PMCPMC7545516

What OpenQuestion holds

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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.