Evidence map›Paper›PMID 40441531›Full record

ArticleModern pathology : an official journal of the United States and Canadian Academy of Pathology, Inc2025

Characterizing Interpretive and Diagnostic Competency Development in Pathology Training.

Tad T Brunyé, Hannah Shucard, Megan M Eguchi, Trafton Drew, Jonathan Marotti, Lesley C Lomo, Mark R Kilgore, Kimberly H Allison, Kathleen F Kerr, Joann G Elmore and 1 more

Abstract read
In one paragraph

Article in Modern pathology : an official journal of the United States and Canadian Academy of Pathology, Inc, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

11 authors.

Tad T BrunyéCenter for Applied Brain and Cognitive Sciences, Tufts University, 177 College Ave, Suite 090, Medford, Massachusetts, 02155, United States; Department of Psychology, Tufts University, 490 Boston Ave., Medford, Massachusetts, 02155, United States. Electronic address: tbruny01@tufts.edu.
Hannah ShucardDepartment of Biostatistics, University of Washington, 3980 15th Avenue NE, Seattle, Washington, 98195, United States.
Megan M EguchiDavid Geffen School of Medicine, University of California, Los Angeles and the National Clinician Scholars Program at UCLA, 1100 Glendon Ave, Suite 900, Los Angeles, California, 90024, United States.
Trafton DrewDepartment of Psychology, University of Utah, 380 S 1530 E Beh S 502, Salt Lake City, Utah, 84112, United States.
Jonathan MarottiDepartment of Pathology and Laboratory Medicine, Dartmouth Hitchcock Medical Center, One Medical Center Drive, Lebanon, New Hampshire, 03756, United States.
Lesley C LomoDepartment of Pathology, University of Utah, 50 N Medical Dr., Salt Lake City, Utah, 84112, United States.
Mark R KilgoreDepartment of Laboratory Medicine and Pathology, University of Washington, 1959 NE Pacific St., Seattle, Washington, 98195, United States.
Kimberly H AllisonDepartment of Pathology, Stanford University School of Medicine, Stanford, California, United States.
Kathleen F KerrDepartment of Biostatistics, University of Washington, 3980 15th Avenue NE, Seattle, Washington, 98195, United States.
Joann G ElmoreDavid Geffen School of Medicine, University of California, Los Angeles and the National Clinician Scholars Program at UCLA, 1100 Glendon Ave, Suite 900, Los Angeles, California, 90024, United States.
Donald L WeaverDepartment of Pathology, University of Vermont Larner College of Medicine and Vermont Cancer Center, 89 Beaumont Ave, Burlington, Vermont, 05405, United States.

Funding

Accuracy of Breast Pathology and the Impact of Double ReadingR01CA140560 · NCI · UNIVERSITY OF WASHINGTON · PI ELMORE, JOANN G, WEAVER, DONALD LEE · 2009 to 2013
$3.3M
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
Digital Pathology_Accuracy Viewing Behavior and Image CharacterizationR01CA172343 · NCI · UNIVERSITY OF WASHINGTON · PI SHAPIRO, LINDA, WEAVER, DONALD LEE · 2013 to 2017
$3.2M
NCI NIH HHS R01 CA140560NCI NIH HHS R01 CA172343NCI NIH HHS R01 CA225585
6 · The paper itself

Abstract

Accurate disease diagnosis is the cornerstone of patient care, directly impacting the quality of health care delivery and patient outcomes. Developing diagnostic competence is a critical goal of pathology residency training. This study uses longitudinal data from trainees during pathology residency to examine the association between years of training and performance in 4 key interpretive phases: detecting critical regions, recognizing their relevance, describing histopathological features, and rendering an accurate diagnosis. Using a study set of 32 digital whole slide images of breast biopsies, 155 pathology residents from 10 US academic medical centers each reviewed 14 cases across multiple years of residency training. Image-viewing behavior, annotation accuracy, and diagnostic decisions were recorded and analyzed. Generalized estimating equations were used to assess the relationship between residency year and metrics capturing the 4 interpretive phases. Year of residency training was not significantly associated with the detection of critical regions or recognizing their importance. However, each year of residency training was associated with 2% less time spent viewing critical regions (P = 0.025) and 1% more attentional coverage of the image space (P = 0.01), suggesting that residents adopt broader scanning strategies over time. Further, each year of residency training was associated with 19% higher odds of writing an accurate annotation (odds ratio = 1.19, P < 0.001) and 18% higher odds of making an accurate diagnosis (odds ratio = 1.18, P < 0.001). Exploratory analyses indicated that accurate feature annotation was the key predictor of diagnostic accuracy, highlighting its importance as a foundational skill in clinical decision-making. Both the ability to describe histopathological features and diagnostic accuracy increase with years of residency training, and the former appears to be a key component of the latter. Competency-based training in pathology should incorporate targeted interventions to improve histopathological feature recognition and description, which appears most likely to improve overall diagnostic performance.

Indexed as

Clinical CompetenceEducation, Medical, GraduateInternship and ResidencyPathologyPathology, ClinicalFemaleHumansbreast cancerdecision-makingeye-trackingmedical educationmedical image interpretationpathology

Identifiers

PMID40441531
PMCPMC12786196

What OpenQuestion holds

Textmetadata
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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.