Evidence map›Paper›PMID 41523419›Full record

ArticleCureus2025

Predictors of Academic and Non-Academic Termination From Medical Schools.

Kenneth D Royal, Andrea Carpentieri, Robert Santos, David Stenulson

Abstract read
In one paragraph

Article in Cureus, 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

4 authors.

Kenneth D RoyalAdmissions Analytics and Insights, Association of American Medical Colleges, Washington, DC, USA.
Andrea CarpentieriAdmissions Analytics and Insights, Association of American Medical Colleges, Washington, DC, USA.
Robert SantosAdmissions Analytics and Insights, Association of American Medical Colleges, Washington, DC, USA.
David StenulsonAdmissions Analytics and Insights, Association of American Medical Colleges, Washington, DC, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background and objective Termination from medical school is relatively uncommon but typically results from either withdrawal or dismissal. Although the number of individuals terminated for academic and non-academic reasons annually is quite small, the collective impact is substantial and has significant implications for students, medical schools, public health, and the physician workforce. While some types of termination may be impossible to predict, those linked to academic performance or non-academic factors such as professionalism may be more predictable. This study aimed to examine how admissions metrics compare between medical students terminated for academic or non-academic reasons versus a baseline group consisting of all other matriculating students and recent graduates. Methods This study examined aggregate national data for student cohorts matriculating into traditional MD-granting degree programs during the 2021-2024 academic years. We examined only those students who 1) withdrew for academic reasons; 2) were dismissed for academic reasons; or 3) were dismissed for non-academic reasons. Scores from three common admissions metrics (Medical College Admission Test (MCAT®) scores, undergraduate grade point average (uGPA), the Association of American Medical Colleges (AAMC) PREview® Professional Readiness Exam) were compared between terminated students and the baseline group during this period. Results The 169 students who withdrew for academic reasons had significantly lower MCAT scores and uGPAs than the baseline group. The differences in MCAT scores resulted in a large effect size, whereas differences in uGPA led to a medium effect size. The differences in PREview scores, although not statistically significantly different, did present a medium effect size. The 193 students dismissed for academic reasons also had significantly lower median MCAT scores and uGPAs than the baseline group, and the contrast in scores had large effect sizes for both measures. The PREview scores were identical between the academically dismissed and baseline groups, indicating no meaningful difference. The 42 students dismissed for non-academic reasons had significantly lower PREview scores than did the baseline group, with a large effect size. uGPA was also significantly lower in the non-academically dismissed group and had a medium effect size. MCAT scores were comparable between these groups. Conclusions Medical student terminations have costly repercussions for a variety of constituents. To help mitigate termination outcomes, we sought to understand if common admissions metrics may be associated and thus potentially serve as useful predictors. Based on the preliminary evidence presented in this study, we conclude that metrics of academic readiness, such as MCAT scores and uGPA, are strong predictors of academic withdrawal and academic dismissal outcomes, whereas PREview scores, a metric of professional readiness, are a strong predictor of non-academic dismissal.

Indexed as

academic dismissalacademic metricsacademic withdrawalgrade point average (gpa)mcatmedical school admissionsmedical student outcomesnon-academic dismissalpreviewprofessionalism

Identifiers

PMID41523419
PMCPMC12785480

What OpenQuestion holds

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LicenceCC BY
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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.