Abstract

The focus on evidence-based neurosurgery has led to a considerable amount of neurosurgical evidence based on randomized controlled trials (RCTs) being published. Nevertheless, there has been no systematic appraisal of China's contribution to RCTs. Information about the changes in characteristics of Chinese neurosurgical RCTs before and during the COVID-19 pandemic is limited. This study aims to perform a detailed examination and comprehensive analysis of the characteristics of Chinese neurosurgical RCTs and to examine the differences before and during the COVID-19 pandemic. We conducted a comprehensive database search including PubMed, Web of Science, Embase, and Cochrane Library up to March 2023, with a criterion of inclusion based on an impact factor above 0. We subsequently examined the design and quality parameters of the included RCTs and assessed the differences before and during the COVID-19 pandemic (based on follow-up ending before or after January 2020). Moreover, we investigated potential factors that may affect the quality and developmental trends of neurosurgical RCTs in China. The main focus of the 91 neurosurgical RCTs was vascular disease (47.3%) and trauma (18.7%). Over half of the trials used Consolidated Standards of Reporting Trial diagrams (69.2%), and the majority compared nonsurgical treatments (63.7%). Larger trials tended to have better quality scores, but those with significant efficacy were less likely to have power calculations. Over time, there was an increase in the use of Consolidated Standards of Reporting Trial diagrams and well-specified outcomes. The COVID-19 pandemic may have hindered the completion of neurosurgical RCTs in China, but it has had little impact on the design and quality so far. Chinese neurosurgeons have made significant progress in advancing neurosurgical RCTs despite challenges. However, shortcomings in sample size and power calculation need attention. Improving the rigor, rationality, and completeness of neurosurgical RCT design is crucial.

Full Text
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