World Neurosurg
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Review Meta Analysis
Awake craniotomy in pediatric patients: A meta-analysis of operative outcomes.
Awake craniotomy allows neurosurgeons to make critical decisions when operating in eloquent regions of the brain. The phenomenon of "waking up" during surgery is underexplored in pediatric patients, and the operative outcomes following awake craniotomy are not well understood. Correspondingly, the aim of this study was to quantitatively aggregate the contemporary metadata regarding the operative outcomes of awake craniotomy when used in the pediatric setting. ⋯ Multiple studies have demonstrated the feasibility of the awake craniotomy approach in pediatric patients. The risks for intraoperative and postoperative complications are non-zero, with their incidences trending towards incidences seen in the adult demographic. It is likely formal neuropsychologic preparation and follow-up will increase the candidacy and success of this approach in the future.
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Review Meta Analysis
Percutaneous Curved Vertebroplasty Versus Unilateral Percutaneous Vertebroplasty for Osteoporotic Vertebral Compression Fractures: A Systematic Review and Meta-analysis.
Percutaneous curved vertebroplasty (PCVP), a modified traditional unilateral percutaneous vertebroplasty (UPVP) technique, is increasingly being used to treat osteoporotic vertebral compression fractures (OVCFs); however, its advantages remain controversial. This meta-analysis was conducted to determine whether PCVP is superior to traditional UPVP in treating OVCFs. ⋯ PCVP was superior to UPVP in terms of reducing the bone cement leakage rate and providing long-term pain relief. Further trials with larger sample sizes and longer follow-up periods are required to verify these findings owing to the potential risk of bias.
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The field of neurosurgery has consistently represented an area of innovation and integration of technology since its inception. As such, machine learning (ML) has found its way into applications within neurosurgery relatively rapidly. Through this bibliometric review and cluster analysis, we seek to identify trends and emerging applications of ML within neurosurgery. ⋯ This review highlights the most impactful articles pertaining to ML in the field of neurosurgery. ML has been applied into several sub-specialties within neurosurgery to optimize patient care, with special attention to outcome predictors, patient selection, and surgical decision making.
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Current management guidelines for the treatment of carotid stenosis are controversial. We performed this meta-analysis to evaluate the perioperative safety of carotid artery stenting (CAS) and endarterectomy. ⋯ The perioperative safety was equivalent between CAS and CEA. However, CEA may be preferred when considering both procedural safety and long-term efficacy in preventing recurrent stroke.
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A rise in systematic reviews and meta-analyses (SRMAs) within the neurosurgical literature has been fueled by an increasing amount of published metadata. In the pediatric niche, multiple pediatric-specific considerations must be made by pediatric neurosurgeons to ensure that their interpretation of pediatric neurosurgical SRMAs is appropriate. The objective of this review is to highlight 4 essential domains in this setting that will allow readers to more appropriately interpret pediatric neurosurgical SRMAs. ⋯ In understandings these 4 essential domains, practicing pediatric neurosurgeons will be better equipped to critically evaluate SRMAs and ultimately inform their academic and evidence-based practices.