Evidence map›Paper›PMID 41541631›Full record

ArticleAcademic pathology

Easing the transition into pathology residency: four years of experience implementing and optimizing an integrated anatomic pathology onboarding course tied to core ACGME competencies.

Dijana Poljak, Bronwyn Bryant, Bei Zhang, Agnes Balla

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 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

4 authors.

Dijana PoljakDepartment of Pathology and Laboratory Medicine, The University of Vermont Medical Center, Burlington, VT, USA.
Bronwyn BryantDepartment of Pathology and Laboratory Medicine, The University of Vermont Medical Center, Burlington, VT, USA.
Bei ZhangDepartment of Pathology and Laboratory Medicine, The University of Vermont Medical Center, Burlington, VT, USA.
Agnes BallaDepartment of Pathology and Laboratory Medicine, The University of Vermont Medical Center, Burlington, VT, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Exposure to the field of Anatomic Pathology continues to be minimal during the medical school years. With the increasing depth of medical knowledge and the diversity of tests performed in the laboratory, incoming residents are often underprepared to fulfill the common clinical and professional responsibilities required by residency. Initially, a course with 16 sessions and later expanded to 24 sessions was designed for incoming pathology trainees spanning from July to August (2021-2024). After feedback from the first year, several sessions were modified and improved including expansion of content on how to dictate reports, populate College of American Pathologists (CAP) cancer synoptic reports, and how to build and use quick texts to increase efficiency. In the most recent iteration of the course, the new Histology Primer series developed by the American Board of Pathology was incorporated. To make this course sustainable in future years and to encourage peer teaching, senior residents were involved in teaching the expanded course content in the second year of this series. Learners completed pre- and post-course objective assessments and a separate course evaluation. The course content was aligned to address 20 of 21 milestones (Version 2) within all 6 Accreditation Council for Graduate Medical Education (ACGME) competencies.

Indexed as

Anatomic pathologyBoot campOnboardingTransition to residency

Identifiers

PMID41541631
PMCPMC12803838

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.