Evidence map›Paper›PMID 42745736›Full record

ArticleFrontiers in medicine2026

A comparative study of short-term intensive and prolonged low-intensity simulation training on clinical competence among medical students.

Yao Zhou, Nvwa Jin, Jinqiu Fu, Hanxiang Zhan

Abstract read
In one paragraph

Article in Frontiers in 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.

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

4 authors.

Yao ZhouDepartment of Pediatrics, Qilu Hospital of Shandong University, Jinan, Shandong, China.
Nvwa JinClinical Skills Center, Qilu Hospital of Shandong University (The First Clinical College), Jinan, Shandong, China.
Jinqiu FuDepartment of Pediatrics, Qilu Hospital of Shandong University, Jinan, Shandong, China.
Hanxiang ZhanClinical Skills Center, Qilu Hospital of Shandong University (The First Clinical College), Jinan, Shandong, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Clinical simulation training is widely used to improve procedural proficiency and patient safety; however, the relative effectiveness of different training schedules remains uncertain. This study compared clinical competence outcomes associated with short-term intensive and prolonged distributed simulation training among medical students. Methods: This prospective, non-randomized comparative cohort study included 48 fifth-year medical students. Based on their preferences, participants selected either a 15-day intensive simulation program (Group A, Results: Group A achieved higher competition scores than Group B in basic surgical procedures, internal medicine procedures, gynecological and pediatric procedures, emergency medical skills, and physician-patient communication skills (all Discussion: Participation in short-term intensive simulation training was associated with better immediate competition performance and more favorable instructor and student ratings than participation in prolonged distributed training. However, because group allocation was preference-based and potentially important baseline variables were unavailable, the findings do not establish causal superiority or long-term benefits of intensive training. Concentrated, feedback-rich simulation may be useful when immediate technical and team performance is prioritized, but randomized studies incorporating retention and clinical-transfer outcomes are needed.

Indexed as

intensive simulationmedical educationmedical studentsskill masteryskills competition

Identifiers

PMID42745736
PMCPMC13574572

What OpenQuestion holds

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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.