Evidence map›Paper›PMID 31444716›Full record

ReviewNeurosurgical review2020

A review of virtual reality simulators for neuroendoscopy.

Britty Baby, Ramandeep Singh, Ashish Suri, Rohan Raju Dhanakshirur, Argha Chakraborty, Subodh Kumar, Prem Kumar Kalra, Subhashis Banerjee

Abstract readReview
PubMed Publisher
In one paragraph

Review in Neurosurgical review, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 1 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

14 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Review
  3. Review
  4. Article
  5. Medical Digital Twin Technology for Interoperability: Challenges and Opportunities.Biomedical engineering and computational biology · 2026
    Review
  6. Article
  7. Neuroendoscopy Training.Asian journal of neurosurgery · 2025
    Review
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Review
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.

Britty BabyDepartment of Neurosurgery, All India Institute of Medical Sciences, New Delhi, India.
Ramandeep SinghDepartment of Neurosurgery, All India Institute of Medical Sciences, New Delhi, India.
Ashish SuriDepartment of Neurosurgery, All India Institute of Medical Sciences, New Delhi, India. surineuro@gmail.com.ORCID http://orcid.org/0000-0002-0464-0860
Rohan Raju DhanakshirurAmar Nath and Shashi Khosla School of Information Technology, Indian Institute of Technology Delhi, New Delhi, India.
Argha ChakrabortyAmar Nath and Shashi Khosla School of Information Technology, Indian Institute of Technology Delhi, New Delhi, India.
Subodh KumarDepartment of Computer Science Engineering, Indian Institute of Technology Delhi, New Delhi, India.
Prem Kumar KalraDepartment of Computer Science Engineering, Indian Institute of Technology Delhi, New Delhi, India.
Subhashis BanerjeeDepartment of Computer Science Engineering, Indian Institute of Technology Delhi, New Delhi, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Neurosurgery is a challenging surgical specialty that demands many technical and cognitive skills. The traditional surgical training approach of having a trainee coached in the operating room by the faculty is time-consuming, costly, and involves patient risk factors. Simulation-based training methods are suitable to impart the surgical skills outside the operating room. Virtual simulators allow high-fidelity repeatable environment for surgical training. Neuroendoscopy, a minimally invasive neurosurgical technique, demands additional skills for limited maneuverability and eye-hand coordination. This study provides a review of the existing virtual reality simulators for training neuroendoscopic skills. Based on the screening, the virtual training methods developed for neuroendoscopy surgical skills were classified into endoscopic third ventriculostomy and endonasal transsphenoidal surgery trainers. The study revealed that a variety of virtual reality simulators have been developed by various institutions. Although virtual reality simulators are effective for procedure-based skills training, the simulators need to include anatomical variations and variety of cases for improved fidelity. The review reveals that there should be multi-centric prospective and retrospective cohort studies to establish concurrent and predictive validation for their incorporation in the surgical educational curriculum.

Indexed as

Virtual RealityClinical CompetenceHumansNeuroendoscopyNeurosurgeryNeurosurgical ProceduresSimulation TrainingVentriculostomyNeuroendoscopyNeurosurgerySimulatorsSkillsTrainingVirtual endoscopyVirtual 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.