Univ. Grenoble Alpes, Inserm U1300, 38000 Grenoble, France; Univ. Grenoble Alpes, Inserm CIC 1406, CHU Grenoble Alpes, 38000 Grenoble, France.
Univ. Grenoble Alpes, Inserm CIC 1406, CHU Grenoble Alpes, 38000 Grenoble, France.
Semin Arthritis Rheum. 2022 Dec;57:152087. doi: 10.1016/j.semarthrit.2022.152087. Epub 2022 Aug 27.
Substantial placebo response has been observed in trials assessing treatments in Raynaud's Phenomenon (RP), which makes any treatment effect difficult to detect. However, whether this response is due to a real placebo effect or to other nonspecific effects, such as regression towards the mean (RTM), has not been explored. Our objectives were to explore and quantify placebo response in RP, and to evaluate the magnitude of RTM contribution.
We combined trial-level and individual-level data from a series of n-of-1 trials and a network meta-analysis, respectively. Main outcomes were the daily frequency and the mean duration of RP attacks, as well as the Raynaud's Condition Score (RCS). We estimated the placebo response by the mean difference between the placebo period (or arm) and the baseline. RTM was estimated by the relationship between placebo response and baseline, and with Galton squeeze plots. Finally, we simulated the effect of the threshold used for inclusion in clinical trials on RTM.
We observed a large and significant placebo response from both individual and trial data for RCS [-1.20 (-1.63, -0.77) and -0.65 (-0.89, -0.41)] and the daily frequency of RP [-0.61 (-0.85, -0.37) and -0.75 (-0.95, -0.54)]. Outcome at baseline was significantly associated with placebo response, suggesting the presence of RTM. The latter was confirmed on individual data, through Galton squeeze plots.
Placebo response is large in RP trials, and likely due to regression towards the mean rather than 'true' placebo effect. This should be carefully considered when designing future trials.
This work has been partially supported by MIAI @ Grenoble Alpes (ANR-19-P3IA-0003).
在评估雷诺现象(RP)治疗方法的试验中,观察到了大量的安慰剂反应,这使得任何治疗效果都难以察觉。然而,这种反应是由于真正的安慰剂效应还是由于其他非特异性效应,如均值回归(RTM),尚未得到探索。我们的目的是探讨和量化 RP 中的安慰剂反应,并评估 RTM 贡献的大小。
我们分别结合了一系列 n-of-1 试验和网络荟萃分析的试验水平和个体水平数据。主要结局是 RP 发作的每日频率和平均持续时间,以及雷诺状况评分(RCS)。我们通过安慰剂期(或手臂)与基线之间的平均差异来估计安慰剂反应。通过安慰剂反应与基线之间的关系以及 Galton 挤压图来估计 RTM。最后,我们模拟了用于临床试验纳入的阈值对 RTM 的影响。
我们从个体和试验数据中观察到 RCS 的安慰剂反应非常大且具有统计学意义[-1.20(-1.63,-0.77)和-0.65(-0.89,-0.41)]和 RP 每日发作频率[-0.61(-0.85,-0.37)和-0.75(-0.95,-0.54)]。基线时的结果与安慰剂反应显著相关,表明存在 RTM。后者通过 Galton 挤压图在个体数据上得到了证实。
RP 试验中的安慰剂反应很大,可能是由于均值回归而不是“真正”的安慰剂效应。在设计未来的试验时,应该仔细考虑这一点。
这项工作得到了 MIAI@格勒诺布尔阿尔卑斯大学(ANR-19-P3IA-0003)的部分支持。