医学
改良兰金量表
中期分析
临床试验
子群分析
急诊医学
内科学
荟萃分析
缺血性中风
缺血
作者
Qiang Li,Craig S. Anderson,Rustam Al‐Shahi Salman,Graeme J. Hankey,Laurent Billot,Yang Zhao,Guanghai Tang,Jianwen Guo,Lili Song
出处
期刊:Cerebrovascular Diseases
[S. Karger AG]
日期:2024-07-23
摘要
Introduction: The traditional Chinese medicine (TCM) herbal compound FYTF-919 (Zhong Feng Xing Nao prescription) may improve outcome from acute intracerebral hemorrhage (ICH) by reducing brain edema, hematoma absorption, and enhancement of the immune system. We outline the statistical analysis plan (SAP) for the Chinese Herbal medicine in Acute INtracerebral haemorrhage (CHAIN) study. Design: CHAIN is a multicenter, prospective, randomized, double-blind, placebo-controlled trial being undertaken at 20-30 hospitals in China. After the completion of eligibility checks, patients are randomly allocated to FYTF-919 (100 mL per day, oral) or matching placebo over 28 days. A sample size of 1504 patients is estimated to provide 90% power (α 0.05) for a 0.06 absolute improvement in the primary outcome of utility-weighted modified Rankin scale scores at 90 days, analyzed by general linear regression. Methods: The statistical analysis plan was developed by the study statistician, principal investigators, international experts, and the study project manager. The plan provides details for analyzing baseline characteristics, patient management, and outcomes. It includes provisions for covariate adjustments, subgroup analysis, the handling missing data, and in the conduct of sensitivity analyzes. Results: A predefined statistical analysis plan was established for CHAIN, facilitating transparent and verifiable analysis. Conclusions: The CHAIN statistical analysis plan was prospectively developed with a focus on maintaining high-quality standards of internal validity to minimise potential analysis biases. Trial registration: ClinicalTrials.gov (NCT05066620).
科研通智能强力驱动
Strongly Powered by AbleSci AI