ArticleNorth American Spine Society journal2024
Non-cadaveric spine surgery simulator training in neurosurgical residency.
Article in North American Spine Society journal, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled 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.
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
4 citing papers in PubMed, 1 synthesis or guideline pooled it.
- The effect of a learning curve on outcomes of vestibular schwannoma surgery: A systematic review.Neurosurgical review · 2026Pooled it
- Introducing Endoscopic Spine Surgery in Tanzania: Implementation Strategy and Early Clinical Outcomes.Global spine journal · 2026Article
- Exoscope-Assisted Spine Surgery: A Systematic Review From Basic to Complex Pathologies.Cureus · 2025Review
- Optimizing Single-Position Prone Lateral Lumbar Interbody Fusion with Exoscopic Technology: A Review of Key Innovations.Journal of clinical medicine · 2025Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
23 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Spine surgical training faces increasing challenges due to restricted working hours and greater sub specialization. Modern simulators offer a promising approach to teaching both simple and complex spinal procedures. This study evaluated the acceptance and efficacy of spine simulator training using a lumbar herniated disc model tested by 16 neurosurgical residents (PGY-1-6), and compared 3D and 2D teaching methods. Methods: Sixteen residents utilized the Realists RealSpine L4/L5 disc simulator with both microscope and exoscope. A mixed-methods analysis assessed the efficacy and acceptance of the training. Six PGY-1 residents participated in a learning curve study, divided into exoscopic and microscopic cohorts. Each group watched a tutorial in either 3D or 2D, followed by 3 surgical sessions. Endpoints included surgical progress within 30 minutes and complication rates. Microsurgical skills and mental concepts were evaluated on a numeric Likert Scale. Results: Participants rated the simulator training favorably, with a median score of 8/10 across 6 categories. The learning curve study showed a 30% improvement in microsurgical performance. The completion rate of herniated disc removal increased from 50% at T2 to 100% at T3 and T4. Significant improvement in mental concept was observed (p=.035), with slightly better consolidation in the exoscope group. Self-assessments revealed significantly improved skills across all participants. Conclusions: Spine simulator training was well-received and resulted in improvements in both mental concept and microsurgical performance, with enhanced outcomes in the 3D teaching/exoscope group. This study supports the integration of spine simulators into spine surgical residency, particularly for early-stage training, to improve both cognitive and practical surgical skills.
Indexed as
Identifiers
What 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.