Evidence map›Paper›PMID 40624635›Full record

ReviewBMC medical education2025

Medical simulation: an essential tool for training, diagnosis, and treatment in the 21st century.

Carlos Enrique Mawyin-Muñoz, Francisco Javier Salmerón-Escobar, Javier Aquiles Hidalgo-Acosta, Maria Fernanda Calderon-León

Abstract readReview
In one paragraph

Review 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 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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.

Carlos Enrique Mawyin-MuñozUniversity of Granada, Granada, Spain.ORCID http://orcid.org/0000-0002-4865-9651
Francisco Javier Salmerón-EscobarUniversity of Granada, Granada, Spain.ORCID https://orcid.org/0000-0002-2503-814X
Javier Aquiles Hidalgo-AcostaEspíritu Santo University UEES, Km. 2,5 León Febres Cordero Ribadeneyra Avenue, Samborondon, Ecuador. aquileschonero@hotmail.com.ORCID https://orcid.org/0000-0003-0090-3069
Maria Fernanda Calderon-LeónCatholic University of Santiago of Guayaquil, Guayaquil, Ecuador.ORCID http://orcid.org/0000-0002-4121-6006

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMedical simulation is a global trend that improves disease interpretation, diagnostic skills, and clinical abilities, transforming them into skills for the practitioner. Simulator classes should be part of continuing medical education, generating advances that make it necessary for technical development and specialization in complex, complicated, or difficult-to-reproduce scenarios that students may face, based on clinical problems with negative feedback, allowing for learning from mistakes. The objective of the review is to identify the usefulness of simulation in teaching the new medicine.

methodsUsing the PRISMA 2020 declaration, articles published in the last 5 years on simulation teaching in neurology were reviewed. These articles were sourced from databases such as PubMed, Mendeley, Wiley, Web of Science, Cochrane, Latindex, and Google Scholar. In the summary of results, only those studies that met the inclusion criteria were selected for analysis.

resultsTwenty-six randomized clinical trials on medical education and training were selected. The analysis showed that simulation improved skill scores to support simulation-based medical diagnosis and treatment.

conclusionSimulation-based education has demonstrated statistical benefits in learning, skill acquisition, feedback, and stress reduction, particularly in the specialties of ophthalmology, emergency medicine, neurology, neurosurgery, neuroanatomy, and neuropathology, providing great relevance to the present review. No study reported beneficial effects or effects on mortality: despite improved surgical skill times among participants, no statistically significant data were found on a reduction in operative complications. Simulation technologies such as artificial intelligence, mixed reality, and robotics are under development, the impact of which on improving the quality of care is still unknown. CLINICAL TRIAL NUMBER: Not applicable.

Indexed as

Clinical CompetenceEducation, MedicalNeurologySimulation TrainingHumansRandomized Controlled Trials as TopicNeurological examinationNeurological findingsPatient simulationSimulation trainingTeaching hospitals

Identifiers

PMID40624635
PMCPMC12235771

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.