Evidence map›Paper›PMID 42157454›Full record

ArticleKorean journal of medical education2026

Latent class analysis of medical students by admission type in Korea: effects on academic performance and career paths.

Soongu Kim, Ilseon Hwang, Cheon-Woo Han

Abstract read
In one paragraph

Article in Korean journal of medical education, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

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

3 authors.

Soongu KimInstitute for Medical Education Innovation, Keimyung University School of Medicine, Daegu, Korea.
Ilseon HwangInstitute for Medical Education Innovation, Keimyung University School of Medicine, Daegu, Korea.
Cheon-Woo HanDepartment of Education, Keimyung University Graduate School, Daegu, Korea. chan@kmu.ac.kr.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeThis study employed latent class analysis (LCA) to classify medical students based on their pre-admission characteristics and examine differences in academic performance, mental health, and post-graduation career paths.

methodsA total of 314 medical students who matriculated from 2015-2018 at a Korean medical school participated for this study. LCA was performed with their gender, region of origin, admission type, and gap years (i.e., a period for retaking the college entrance examination) as classification variables. Mental health was assessed using BDI-II (Beck Depression Inventory-II), SSI-Beck (Scale for Suicidal Ideation-Beck), and K-Scale (Korean Internet Addiction Scale). Academic outcomes and career paths were compared across latent classes through analysis of variance and regression analyses.

resultsThree distinct latent classes were identified in the total sample (n=314): the rolling admission-regional talent group (25.0% of the total sample), the regular admission-male retaker group (57.3%), and the non-local female group (17.7%). The regular admission-male retaker group showed significantly higher internet over- dependency levels (p<0.001), lower academic performance (p<0.001), and higher grade repetition rates (p<0.05) than the others. The rolling admission-regional talent group had the highest proportion of students working at their alma mater-affiliated hospitals (p<0.05).

conclusionThe research findings could present practical implications to the medical school systems because this research analyzed the mental health status, academic performance, and career paths based on the admission types of medical school students. Furthermore, the results imply that a specific policy and/or a student support system should be required for medical students' achievement and their successful transition to career.

Indexed as

Academic PerformanceCareer ChoiceSchool Admission CriteriaSchools, MedicalStudents, MedicalAdultFemaleHumansLatent Class AnalysisMaleMental HealthRepublic of KoreaYoung AdultAcademic performanceLatent class analysisMedical studentsSchool admission criteria

Identifiers

PMID42157454
PMCPMC13236412

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.