Evidence map›Paper›PMID 40632269›Full record

ArticleActa neurochirurgica. Supplement2025

Microneurosurgical Training on Simulators: The Zurich Microsurgery Lab Experience.

Elisa Colombo, Lara Höbner, Martina Sebök, Tristan van Doormaal, Luca Regli, Giuseppe Esposito

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Article in Acta neurochirurgica. Supplement, 2025. 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

6 authors.

Elisa ColomboDepartment of Neurosurgery, Clinical Neuroscience Center, University Hospital Zurich, University of Zurich, Zurich, Switzerland. elisa.colombo@usz.ch.
Lara HöbnerDepartment of Neurosurgery, Clinical Neuroscience Center, University Hospital Zurich, University of Zurich, Zurich, Switzerland.
Martina SebökDepartment of Neurosurgery, Clinical Neuroscience Center, University Hospital Zurich, University of Zurich, Zurich, Switzerland.
Tristan van DoormaalDepartment of Neurosurgery, University Medical Center Utrech, Utrecht, Netherlands.
Luca RegliDepartment of Neurosurgery, Clinical Neuroscience Center, University Hospital Zurich, University of Zurich, Zurich, Switzerland.
Giuseppe EspositoDepartment of Neurosurgery, Clinical Neuroscience Center, University Hospital Zurich, University of Zurich, Zurich, Switzerland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Training microsurgical and neurosurgical techniques by using multimodal simulators in the lab is a fundamental component of neurosurgical residency nowadays. The authors of this chapter describe a training curriculum for residents in neurosurgery implemented at the Zurich Microsurgery Lab, one that integrates different simulators to ensure a seamless and effective progression in microneurosurgical skill acquisition. Neurosurgical residents at all levels of training can benefit from this training scheme, profiting from the realistic replication of surgical scenarios and conditions. Next-generation silicon tubes are used as the initial tools and provide exposure to basic microsurgical skills. Placental simulators have become a milestone at our lab for training microsurgical techniques such as vessel dissection and microanastomoses. Craniotomy sessions are performed using hyper-realistic three-dimensional (3D) skull models. Mixed reality allows for teaching surgical anatomy with 3D interactive reconstructions of the most relevant anatomical structures. Cadaver models offer a realistic anatomical setting for advanced specialistic training.

Indexed as

Computer SimulationInternship and ResidencyMicrosurgeryNeurosurgeryNeurosurgical ProceduresSimulation TrainingClinical CompetenceCraniotomyCurriculumHumansImaging, Three-DimensionalModels, AnatomicSwitzerland3D modelsMicrosurgical trainingMixed realityPlacentaSimulatorsVirtual reality

Identifiers

What OpenQuestion holds

Textmetadata
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.