SynthesisNeurosurgical review2026
Simulation training in spinal endoscopic surgery: a systematic review of current status.
Synthesis in Neurosurgical review, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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
1 citing paper in PubMed.
- Education and training models for point-of-care ultrasound in perioperative medicine: a narrative review.Frontiers in medicine · 2026Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
10 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
This systematic review aims to comprehensively evaluate the existing literature on endoscopic spine surgery (ESS) simulation. By assessing current designs, validation processes, and educational impacts in training of ESS simulators, our study aims to identify strengths and limitations, highlight critical gaps, and propose approaches to enhance simulator effectiveness. A systematic search identified 2,130 studies, with 10 meeting the inclusion criteria. The included studies comprised descriptive studies, randomized controlled trials, cohort studies, and a cross-sectional study. Data were extracted on simulator models, validation approaches, training strategies, and educational outcomes. Eleven simulator models were evaluated: animal (18%), mixed reality (9%), self-made (55%), synthetic (9%), and cadaveric (9%). Only six studies validated their simulators, revealing variable face, content, and construct validity. Simulator realism, particularly with respect to haptic feedback, spatial depth, and tissue interaction, was a central component of face validity across models, although these features were variably implemented and primarily evaluated using subjective measures. Among the included models, the mixed reality simulator demonstrated improvements in trainee performance, including faster puncture times, shorter overall operating duration, and reduced reliance on fluoroscopy. Multimodal teaching strategies combining didactic instruction and hands-on practice led to improvements in learner satisfaction, confidence, and technical performance. However, studies exhibited moderate to high risk of bias, with methodological quality rated as moderate (mean MERSQI score 9.8/18). Diverse ESS simulation models demonstrate potential to enhance surgical training. This review identified moderate methodological quality and substantial variability in study design, sampling, and validity across existing programs. Nevertheless, multimodal training approaches were commonly associated with improvements in technical performance and learner satisfaction. Despite these limitations, the available evidence supports the development of standardized simulation programs to enhance procedural proficiency by demonstrating objective improvements in procedural efficiency, task accuracy, and fluoroscopy utilization, alongside high levels of learner engagement and confidence, ultimately improving patient care.
Indexed as
Identifiers
41838199What OpenQuestion holds
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.