ArticleJournal of neuro-oncology2025
Simulation tools in neuro-oncological surgery: a scoping review of perioperative and training applications.
Article in Journal of neuro-oncology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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.
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.
Who cites it
2 citing papers in PubMed.
- Virtual Reality in Neurosurgery: Advancing Training, Education, and Surgical Planning.Asian journal of neurosurgery · 2026Review
- Evaluation of ChatGPT's and Gemini's Ability to Find Studies About Neurosurgical Training and Trainees' Anatomy Understanding.ANZ journal of surgeryArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
11 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundNeuro-oncological surgery has lagged other neurosurgical subspecialties in integrating simulation technologies for training and surgical planning. This study provides a comprehensive scoping review of the current landscape of simulation tools in neuro-oncological surgery, mapping existing research, identifying technological advancements, and highlighting gaps in surgical training and perioperative planning.
methodsWe formulated the research question: "What is the effect of perioperative simulation and neuro-oncological training on surgical skill acquisition, patient outcomes, and safety among neurosurgeons, compared to traditional or no training methods?" A comprehensive search was conducted on PubMed, Scopus and ClinicalTrials.gov, with the final search completed in May 2024. The quality of training studies was assessed using the Medical Education Research Study Quality Instrument (MERSQI), and the Cochrane ROBINS-I tool was used to evaluate bias in simulation studies.
resultsThe search yielded 5,518 records, with 51 studies meeting the inclusion criteria. These were categorized into six groups: (1) 3D Models in Presurgical Planning and Intraoperative Navigation: 5 articles; (2) Augmented Reality (AR) in Presurgical Planning and Intraoperative Navigation: 25 articles; (3) Mixed Reality (MR) in Presurgical Planning and Intraoperative Navigation: 6 articles; (4) Virtual Reality (VR) in Presurgical Planning and Intraoperative Navigation: 4 articles; (5) AR in Surgical Training: 5 articles; (6) VR in Surgical Training: 6 articles.
conclusionWhile the number of studies on simulation in neuro-oncological surgery is increasing, their analytical depth remains limited. Simulation holds promise for advancing the field, but a significant journey lies ahead before achieving universal academic validation.
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Registered trials
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.