Evidence map›Paper›PMID 42881336›Full record

ArticleJournal of general internal medicine2026

The ACEs of Clinical Reasoning: a Formal, Longitudinal, Leadership Role for Medical Students to Augment Clinical Reasoning Education.

Zeyu Tang, Madisen A Swallow, Ryan C Bahar, Marina Gaeta Gazzola, Thilan P Wijesekera

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Article in Journal of general internal medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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.

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

5 authors.

Zeyu TangYale School of Medicine, New Haven, CT, USA. zeyutang96@gmail.com.ORCID http://orcid.org/0000-0003-3306-824X
Madisen A SwallowYale School of Medicine, New Haven, CT, USA.
Ryan C BaharUniversity of California San Francisco School of Medicine, San Francisco, CA, USA.
Marina Gaeta GazzolaDepartment of Emergency Medicine, NYU Langone Health, New York, NY, USA.
Thilan P WijesekeraYale School of Medicine, New Haven, CT, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundClinical reasoning (CR) is integral to undergraduate medical education but requires significant resources to deliver adequate practice and individualized feedback. Peer-assisted learning (PAL) may improve instructional capacity and enhance the learning climate.

aimWe describe the development, implementation, and impact of the Associate Course Educator (ACE) role, a structured PAL and leadership position for medical students within a CR longitudinal course.

settingA private, not-for-profit U.S. medical school.

participantsSenior medical students who completed core clerkships. PROGRAM DESCRIPTION: ACEs completed a 12-month term with optional term renewal for eligible students. They received close mentorship and instruction in CR pedagogy. ACEs delivered at least 20h of teaching annually, led educational projects, contributed to scholarship, and supported curricular review. PROGRAM EVALUATION: Across six recruitment cycles (2020-2026), 84 students applied and 44 were selected (52.4%). Annual CR sessions increased from eight to 22 and shifted from large-group to predominantly small-group and one-on-one formats. ACEs contributed multiple educational innovations and disseminated scholarship at regional and national venues. DISCUSSION: The ACE role formalizes PAL as a mentored medical education experience that expands instructional capacity, supports instructor-intensive teaching formats, and enhances feedback mechanisms. For students, the role provides structured mentorship in CR, teaching, and scholarship while enabling meaningful contributions to institutional curricula.

Indexed as

clinical reasoningmedical studentnear-peerpeer-assisted learning

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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.