Evidence map›Paper›PMID 41652472›Full record

ArticleBMC medical education2026

Clustering of students in pre-clinical medical education and identification of academic performance profiles: does online education work for all medical students?

Houman Goudarzi, Masahiro Onozawa, Yoichi M Ito, Makoto Takahashi

Abstract read
In one paragraph

Article in BMC medical education, 2026. 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.

Houman GoudarziCenter for Medical Education and International Relations, Faculty of Medicine and Graduate School of Medicine, Hokkaido University, Sapporo, Japan.ORCID http://orcid.org/0000-0003-1145-8917
Masahiro OnozawaClinical Training Center, Hokkaido University Hospital, Sapporo, Japan.ORCID http://orcid.org/0000-0001-9267-2864
Yoichi M ItoData Science Center, Promotion Unit, Institute of Health Science Innovation for Medical Care, Hokkaido University Hospital, Sapporo, Japan.ORCID http://orcid.org/0000-0001-5073-0827
Makoto TakahashiCenter for Medical Education and International Relations, Faculty of Medicine and Graduate School of Medicine, Hokkaido University, Sapporo, Japan. mtakahashi@pop.med.hokudai.ac.jp.ORCID http://orcid.org/0000-0001-5810-1224

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionUnlike variable-centered analysis, person-centered analysis facilitates the development of more personalized learning. In this study, we investigated the predictors of academic performance in pre-clinical education using variable-centered analysis and identified academic performance profiles using person-centered analysis (cluster analysis).

methodsA total of 321 second-year medical students from our medical English course at Hokkaido University participated in this study between 2019 and 2021. For variable-centered analysis, we assessed the predictors of academic performance (final exam score) using multivariable regression analysis. We performed cluster analysis using Ward’s minimum variance hierarchical clustering method for person-centered analysis. Nine variables, identical to those used in the variable-centered analysis, were selected and standardized for this analysis.

resultsOnline education, female sex, baseline reading skills, and medical terminology predicted academic performance in the variable-centered analysis; however, cluster analysis identified four subgroups with different academic performances. Cluster 1 had the highest proportion of male and in-person education and the lowest academic performance. Cluster 2, with a high male ratio and low baseline skills, had poor academic performance, whereas most students had online/combined education. Clusters 3 and 4 had the highest online/combined education (Cluster 4: online> combined), and female students with the highest performance. DISCUSSION: Online education was the main predictor of academic performance using traditional analysis; however, cluster analysis captured a subgroup of students with online education but lacking better academic performance. The current person-centered analysis contributes novel insights into the nuanced interplay of educational formats, gender, and skills, offering implications for optimizing medical education strategies in the future.

Indexed as

Academic PerformanceEducation, DistanceEducation, Medical, UndergraduateStudents, MedicalCluster AnalysisClustering AlgorithmsEducational MeasurementFemaleHumansJapanMaleAcademic performanceCluster analysisMedical studentsOnline educationPerson-centered analysisPre-clinical medical educationVariable-centered analysis

Identifiers

PMID41652472
PMCPMC12977392

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.