选择最佳试验设计:对两臂和三臂试验进行比较分析,并结合网络元分析来评估新的治疗方法
Fangshu Ye1, Chong Wang2,3, Annette M O'Connor4,5
1Department of Statistics, College of Liberal Arts and Sciences, Iowa State University, Ames, IA, USA.
BMC medical research methodology
|November 11, 2023
概括
设计临床试验,将新疗法与现有疗法进行比较,可以优化. 结合现有的网络元分析数据可以提高功率,使间接或三臂试验在特定条件下比直接的双臂试验更有效.
科学领域:
- 临床试验设计 临床试验设计
- 网络元分析 网络元分析
- 统计能力 统计能力
背景情况:
- 利用现有的网络元分析数据可以优化新的临床试验设计.
- 网络元分析对比较现有治疗方法 (旧) 与新疗法 (新疗法) 的试验的影响尚未得到充分研究.
- 这项研究研究了最佳的试验设计,用于将旧的治疗方法A与新治疗方法Z进行比较.
研究的目的:
- 为了确定最强大的试验设计来比较治疗A (旧) 和治疗Z (新) 给定样本大小.
- 评估三个设计:直接的双臂 (A与Z),间接的双臂 (B与Z) 和三臂 (A,B,Z).
主要方法:
- 在三个设计中比较A和Z治疗方法之间的标准误差,以估计A和Z治疗方法之间的效果大小.
- 用于连续和二进制结果的公式.
- 在特定条件下进行模拟研究以评估功率.
主要成果:
- 对于连续的结果,直接的双臂试验 (A vs. Z) 始终是最强大的.
- 对于二进制结果,权力比较只有在特定条件下才具有决定性 ([公式:见文本]).
- 模拟结果显示,间接的双臂和三臂试验可以在[公式:见文本]时超过直接的双臂试验.
结论:
- 标准的直接双臂试验并不总是最强大的设计.
- 通过间接或三臂试验将额外的现有治疗方法 (B) 纳入试验可以增加统计能力.
- 最佳的设计选择取决于诸如治疗风险,样本大小和现有网络数据精度等因素.
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