随机对照试验,注册表,观察数据库在评估新干预措施中的作用
Robert Peter Gale1, Mei-Jie Zhang2, Hillard M Lazarus3
1Centre for Haematology, Department of Immunology and Inflammation, Imperial College of Science, Technology and Medicine, London, UK.
随机对照试验 (RCT) 是理想的,但通常是不可用的. 高质量的注册表和观察数据库 (ODB) 为比较干预安全性和有效性提供了有价值的替代方案,特别是当RCT不可行时.
科学领域:
- * 医学研究方法论
- * * 临床试验设计
- * 基于证据的医学
背景情况:
- *随机对照试验 (RCT) 是评估干预安全性和有效性的黄金标准.
- *由于不常见的疾病/干预措施,结构限制或随机化的实际/道德障碍,RCT数据可能无法获得.
- *当被认为有效的干预措施在RCT中后来被发现是无效或有害时,就会发生医学逆转.
研究的目的:
- * 探索注册表和观察数据库 (ODB) 作为RCT的替代品的实用性.
- * 为了解决在特定临床场景中RCT的局限性.
- * 将ODBs的发现与RCT的发现进行比较.
主要方法:
- *分析随机对照试验 (RCT) 的数据.
- *检查来自高质量的注册表和观察数据库 (ODB) 的数据.
- *考虑将RCT,注册表和ODB数据结合在一起的元分析.
主要成果:
- *当没有可用的RCT数据时,ODBs可以提供有价值的数据,其中包括大量,多样化的患者群体.
- * 虽然ODB存在潜在偏差和混共变量等局限性,但高质量的ODB的分析通常与RCT的结论一致.
- *通过元分析将RCT,注册表和ODB数据结合在一起有时是合适的.
结论:
- * 注册表和开放式数据库是比较干预疗效的关键资源,特别是当RCT不可行时.
- * 更多地利用注册表和ODB可以增强临床决策的证据基础.
- *高质量的ODB可以产生与RCT可比的临床相关结果.
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