Evidence map›Paper›PMID 41906913›Full record

ReviewNursing in critical care2026

Uncovering Research Themes in Simulation-Based Critical Care Education: A Bibliometric and Cluster Analysis.

Lang Li, Yuhang Lv, Liang Dong

Abstract readReview
In one paragraph

Review in Nursing in critical care, 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.

Lang LiDepartment of Postgraduate Education, Taizhou Central Hospital (Taizhou University Hospital), Taizhou, China.ORCID https://orcid.org/0000-0003-2256-511X
Yuhang LvDepartment of Critical Care Medicine, Taizhou Central Hospital (Taizhou University Hospital), Taizhou, China.
Liang DongDepartment of Critical Care Medicine, Taizhou Central Hospital (Taizhou University Hospital), Taizhou, China.ORCID https://orcid.org/0000-0002-1768-4264

Funding

Medical Science and Technology Project of Zhejiang Province 2021KY401Medical Science and Technology Project of Zhejiang Province 2023KY406Medical Science and Technology Project of Zhejiang Province 2024KY1815Medical Science and Technology Project of Zhejiang Province 2025HY1440Natural Science Foundation of China 82072146Natural Science Foundation of Zhejiang Province LY21H150003Science and Technology Plan Project of Taizhou 20ywa25Science and Technology Plan Project of Taizhou 24ywb47Taizhou University Key Medical Research Project Z2024FSXY03Zhejiang Clinovation Pride CXTD202501057
6 · The paper itself

Abstract

backgroundSimulation-based medical education (SBME) has become integral to critical care training, providing a safe and effective platform for clinical skill development, teamwork and patient safety. Despite increasing recognition of its educational value, the global research landscape of SBME in critical care remains insufficiently mapped.

aimTo conduct a comprehensive bibliometric analysis and elucidate key trends, influential contributors and emerging research themes in SBME for critical care. STUDY

designLiterature published between 1981 and 2025 was systematically retrieved from the Web of Science Core Collection. Bibliometric analyses were performed using VOSviewer, CiteSpace and R (version 4.3.3).

resultsA total of 557 eligible publications were identified, revealing a marked increase in research output, with significant peaks in 2015 and 2021. The United States, Canada, the United Kingdom and China were the leading contributors, collectively accounting for the majority of global publications and international collaborations. Simulation in Healthcare was the most prolific journal, while Critical Care Medicine had the highest citation impact. Harvard University and Johns Hopkins University emerged as the top institutions and William C. McGaghie, Eric R. Cohen and David B. Wayne were among the most influential authors. Keyword cluster analysis revealed five principal thematic areas: (1) Simulation and Outcomes in Acute Care, (2) Competence and Curriculum Development, (3) Patient Safety and Teamwork, (4) Skill Acquisition and Clinical Training and (5) Education, Confidence and Perceptions. Citation burst analysis highlighted 'simulation', 'high-fidelity simulation' and 'cardiopulmonary resuscitation' as current and emerging research foci.

conclusionsSBME research in critical care medicine has experienced substantial global growth, with a clear shift toward high-fidelity, outcome-driven and technology-enhanced educational strategies. This bibliometric analysis provides a structured overview of the field's evolution, interdisciplinary scope and future directions. RELEVANCE TO CLINICAL PRACTICE: Ongoing research should prioritise the evaluation of advanced simulation modalities, real-world clinical outcomes and underrepresented critical care scenarios to further enhance training efficacy, patient safety and quality of care.

Indexed as

BibliometricsCritical CareEducation, MedicalSimulation TrainingClinical CompetenceHumansbibliometric analysiscritical care medicineglobal collaborationresearch trendssimulation education

Identifiers

PMID41906913
PMCPMC13111783

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.