Evidence map›Paper›PMID 40540088›Full record

ArticleNeurosurgical review2025

Reshaping neurosurgical training: a novel simulation-based concept for structured skill acquisition and curriculum integration.

Belal Neyazi, Amir Amini, Vanessa M Swiatek, Klaus-Peter Stein, Ali Rashidi, I Erol Sandalcioglu

Abstract read
In one paragraph

Article in Neurosurgical review, 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

6 authors.

Belal Neyazi *Department of Neurosurgery, Otto-von-Guericke University, Magdeburg, Saxony-Anhalt, Germany. belal.neyazi@med.ovgu.de.
Amir Amini *Department of Neurosurgery, Otto-von-Guericke University, Magdeburg, Saxony-Anhalt, Germany.
Vanessa M SwiatekDepartment of Neurosurgery, Otto-von-Guericke University, Magdeburg, Saxony-Anhalt, Germany.
Klaus-Peter SteinDepartment of Neurosurgery, Otto-von-Guericke University, Magdeburg, Saxony-Anhalt, Germany.
Ali RashidiDepartment of Neurosurgery, Otto-von-Guericke University, Magdeburg, Saxony-Anhalt, Germany.
I Erol SandalciogluDepartment of Neurosurgery, Otto-von-Guericke University, Magdeburg, Saxony-Anhalt, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

As neurosurgical caseloads decline, alternative training methods are essential for practical, hands-on training and technical skill acquisition. Physical simulators have the potential to enhance surgical training, but current models lack realism and fail to replicate the full surgical workflow. This study aims to develop and evaluate a novel, affordable microneurosurgical simulator designed for structured, effective and transferable skill acquisition. Based on previously established methodologies, we developed a novel high-fidelity yet cost-effective simulator that replicates the key steps of the neurosurgical workflow, including patient positioning, craniotomy, microsurgical dissection, clipping of aneurysms, tumor resection, and closure techniques. The simulator's fidelity was validated through intense rheological testing and tactile evaluations by experienced neurosurgeons. It was subsequently implemented in a two-day microneurosurgical simulation course involving 12 neurosurgical residents from leading German institutions. Participants completed pre- and post-course evaluations. Objective evaluations of technical proficiency and surgical learning curves were conducted using a newly developed tool-the Objective Structured Assessment of Neurosurgical Skills (OSANS). Participants rated the simulator highly for anatomical accuracy and tactile realism, with 95% considering it "highly realistic." Objective assessments revealed significant improvements in technical skills, including craniotomy precision and dural closure. Confidence in performing complex neuro-oncological and vascular procedures increased by 40%. Incorporating simulation-based training into neurosurgical curricula can enhance resident education, improve skill acquisition, and promote patient safety. This presented cost-effective, reusable simulator bridges gaps in neurosurgical training by enabling realistic and repetitive practice.

Indexed as

Clinical CompetenceCurriculumMicrosurgeryNeurosurgeryNeurosurgical ProceduresSimulation TrainingComputer SimulationCraniotomyHumansInternship and Residency3D-PrintingConstruct validityNeurosurgical educationSimulation trainingTransferability surgical skills assessment

Identifiers

PMID40540088
PMCPMC12181106

What OpenQuestion holds

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LicenceCC BY
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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.