Evidence map›Paper›PMID 40597959›Full record

ArticleBMC medical education2025

Application of simulation-based education in the instruction of medical students from non-radiology specialties.

Huajun Yu, Jin Zhao, Lina Su, Jianjun Zhang

Abstract readComparative Study
In one paragraph

Article in BMC medical education, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

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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.

Huajun YuDepartment of Radiology, Zhejiang Hospital, No.12 Lingyin Road, Xihu District, Hangzhou, Zhejiang Province, China.ORCID http://orcid.org/0000-0001-6297-3164
Jin ZhaoDepartment of Radiology, Zhejiang Hospital, No.12 Lingyin Road, Xihu District, Hangzhou, Zhejiang Province, China.ORCID http://orcid.org/0000-0001-8792-4123
Lina SuDepartment of Radiology, Zhejiang Hospital, No.12 Lingyin Road, Xihu District, Hangzhou, Zhejiang Province, China.ORCID http://orcid.org/0000-0001-7797-9585
Jianjun ZhangDepartment of Radiology, Zhejiang Hospital, No.12 Lingyin Road, Xihu District, Hangzhou, Zhejiang Province, China. k221074@zju.edu.cn.ORCID http://orcid.org/0000-0001-9822-3832

Funding

Zhejiang University of Traditional Chinese Medicine Education and Teaching Reform Program under Grant JD23001
6 · The paper itself

Abstract

backgroundCompetency in radiology among non-radiology medical students is crucial for enhancing the quality of clinical care. Simulation-based education (SBE) has the potential to address the limitations of tradition-based education (TBE) in teaching medical imaging to these students.

methodsA comparative study was conducted involving 317 second-year medical students specializing in non-radiology fields (Zhejiang University of Traditional Chinese Medicine, cohort 2019-2024). Participants received standardized instruction in medical imaging theory and skills (total score = 100). Based on the teaching approach, they were divided into SBE (n = 82) and TBE (n = 235) groups. Baseline performance was assessed prior to the intervention. The SBE group received traditional lectures supplemented with simulated skills training, while the TBE group received lectures combined with conventional skills training. Post-intervention assessments evaluated theoretical knowledge and practical skills. Students rated the effectiveness of the teaching methods on a 10-point scale regarding improvements in learning interest, imaging thinking, teamwork, and communication skills. Group comparisons were performed using Pearson's chi-square tests for categorical variables (e.g., gender) and Mann-Whitney U tests for continuous variables (e.g., age, baseline scores, knowledge/skills scores, and ratings), with statistical significance set at p < 0.05.

resultsIn the SBE group (n = 82; M: F = 51:31), the median age was 20 years (IQR: 20, 20). Median baseline scores were 100.00 (IQR: 99.69, 100.00), theoretical knowledge scores were 93.25 (IQR: 89.88, 96.00), and practical skills scores were 96.00 (IQR: 93.00, 97.00). Median ratings for learning interest, imaging thinking, teamwork, and communication were 8.00 (IQR: 7.00, 8.00), 8.00 (IQR: 8.00, 9.00), 8.00 (IQR: 7.00, 9.00), and 8.00 (IQR: 8.00, 9.00), respectively. In the TBE group (n = 235; M: F = 130:105), the median age was also 20 years (IQR: 20, 20). Median baseline scores were 100.00 (IQR: 98.75, 100.00), theoretical knowledge scores were 71.00 (IQR: 66.50, 74.00), and practical skills scores were 82.00 (IQR: 80.00, 84.00). Median ratings for learning interest, imaging thinking, teamwork, and communication were 5.00 (IQR: 5.00, 6.00), 5.00 (IQR: 5.00, 6.00), 4.00 (IQR: 3.00, 5.00), and 2.00 (IQR: 2.00, 3.00), respectively. Groups were comparable at baseline (gender: χ² = 1.17, p = 0.28; age: Z = -1.26, p = 0.21; baseline scores: Z = -1.12, p = 0.26). The SBE group demonstrated significantly higher post-intervention theoretical knowledge scores (Z = -13.48, p < 0.001), practical skills scores (Z = -13.50, p < 0.001), and all rated domains (learning interest: Z = -13.23; imaging thinking: Z = -13.71; teamwork: Z = -13.77; communication: Z = -13.86; all p < 0.001).

conclusionsSBE significantly enhances the medical imaging knowledge and practical skills of non-radiology medical students compared to TBE. It also demonstrates superiority in fostering learning interest, imaging thinking, teamwork, and communication skills.

Indexed as

Education, Medical, UndergraduateRadiologySimulation TrainingStudents, MedicalAdultChinaClinical CompetenceEducational MeasurementFemaleHumansMaleYoung AdultComprehensive ability cultivationMedical educationNon-radiology specialty medical studentsSimulation-based education

Identifiers

PMID40597959
PMCPMC12217506

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.