Evidence map›Paper›PMID 36015828›Full record

SynthesisSensors (Basel, Switzerland)2022

Extended Reality in Neurosurgical Education: A Systematic Review.

Alessandro Iop, Victor Gabriel El-Hajj, Maria Gharios, Andrea de Giorgio, Fabio Marco Monetti, Erik Edström, Adrian Elmi-Terander, Mario Romero

Abstract readSystematic Review
In one paragraph

Synthesis in Sensors (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed, 2 pooled it
–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

23 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
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  7. Medical Digital Twin Technology for Interoperability: Challenges and Opportunities.Biomedical engineering and computational biology · 2026
    Review
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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

8 authors.

Alessandro IopDepartment of Neurosurgery, Karolinska University Hospital, 141 86 Stockholm, Sweden.ORCID 0000-0001-5634-8960
Victor Gabriel El-HajjDepartment of Neurosurgery, Karolinska University Hospital, 141 86 Stockholm, Sweden.ORCID 0000-0001-9479-761X
Maria GhariosDepartment of Neurosurgery, Karolinska University Hospital, 141 86 Stockholm, Sweden.ORCID 0000-0002-3614-8782
Andrea de GiorgioSnT-Interdisciplinary Center for Security, Reliability and Trust, University of Luxembourg, 4365 Esch-sur-Alzette, Luxembourg.ORCID 0000-0001-6064-5634
Fabio Marco MonettiKTH Royal Institute of Technology, 114 28 Stockholm, Sweden.ORCID 0000-0003-2993-511X
Erik EdströmDepartment of Neurosurgery, Karolinska University Hospital, 141 86 Stockholm, Sweden.ORCID 0000-0002-8781-1169
Adrian Elmi-TeranderDepartment of Neurosurgery, Karolinska University Hospital, 141 86 Stockholm, Sweden.ORCID 0000-0002-3776-6136
Mario RomeroKTH Royal Institute of Technology, 114 28 Stockholm, Sweden.ORCID 0000-0003-4616-189X

Funding

Innovationsfonden 2022 FoUI-941760
6 · The paper itself

Abstract

Surgical simulation practices have witnessed a rapid expansion as an invaluable approach to resident training in recent years. One emerging way of implementing simulation is the adoption of extended reality (XR) technologies, which enable trainees to hone their skills by allowing interaction with virtual 3D objects placed in either real-world imagery or virtual environments. The goal of the present systematic review is to survey and broach the topic of XR in neurosurgery, with a focus on education. Five databases were investigated, leading to the inclusion of 31 studies after a thorough reviewing process. Focusing on user performance (UP) and user experience (UX), the body of evidence provided by these 31 studies showed that this technology has, in fact, the potential of enhancing neurosurgical education through the use of a wide array of both objective and subjective metrics. Recent research on the topic has so far produced solid results, particularly showing improvements in young residents, compared to other groups and over time. In conclusion, this review not only aids to a better understanding of the use of XR in neurosurgical education, but also highlights the areas where further research is entailed while also providing valuable insight into future applications.

Indexed as

Computer-Assisted InstructionNeurosurgeryComputer SimulationNeurosurgical ProceduresUser-Computer Interfaceaugmented realityeducationextended realitymixed realityneurosurgeryprocedural knowledgeresidentssimulationvirtual reality

Identifiers

PMID36015828
PMCPMC9414210

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.