Jones B, Jarvis P, Lewis J A, Ebbutt A F
Department of Medical Statistics, School of Computing Sciences, De Montfort University, Leicester.
BMJ. 1996 Jul 6;313(7048):36-9. doi: 10.1136/bmj.313.7048.36.
The aim of an equivalence trial is to show the therapeutic equivalence of two treatments, usually a new drug under development and an existing drug for the same disease used as a standard active comparator. Unfortunately the principles that govern the design, conduct, and analysis of equivalence trials are not as well understood as they should be. Consequently such trials often include too few patients or have intrinsic design biases which tend towards the conclusion of no difference. In addition the application of hypothesis testing in analysing and interpreting data from such trials sometimes compounds the drawing of inappropriate conclusions, and the inclusion and exclusion of patients from analysis may be poorly managed. The design of equivalence trials should mirror that of earlier successful trials of the active comparator as closely as possible. Patient losses and other deviations from the protocol should be minimised; analysis strategies to deal with unavoidable problems should not centre on an "intention to treat" analysis but should seek to show the similarity of results from a range of approaches. Analysis should be based on confidence intervals, and this also carries implications for the estimation of the required numbers of patients at the design stage.
等效性试验的目的是证明两种治疗方法的治疗等效性,通常是一种正在研发的新药与一种用于相同疾病的现有药物作为标准活性对照药。不幸的是,指导等效性试验设计、实施和分析的原则并未得到应有的充分理解。因此,此类试验往往纳入的患者过少,或存在内在的设计偏差,倾向于得出无差异的结论。此外,在分析和解释此类试验数据时应用假设检验有时会使得出不当结论的情况更为复杂,而且患者纳入和排除分析的管理可能不善。等效性试验的设计应尽可能紧密地模仿活性对照药早期成功试验的设计。应尽量减少患者失访和其他与方案的偏差;处理不可避免问题的分析策略不应以“意向性分析”为中心,而应设法显示一系列方法得出的结果的相似性。分析应基于置信区间,这在设计阶段对所需患者数量的估计也有影响。