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Evaluation by simulation of clinical trial designs for evaluation of treatment during a viral haemorrhagic fever outbreak

机译:通过模拟临床试验设计评估治疗过程中的临床试验爆发

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Viral haemorrhagic fevers are characterized by irregular outbreaks with high mortality rate. Difficulties arise when implementing therapeutic trials in this context. The outbreak duration is hard to predict and can be short compared to delays of trial launch and number of subject needed (NSN) recruitment. Our objectives were to compare, using clinical trial simulation, different trial designs for experimental treatment evaluation in various outbreak scenarios. Four type of designs were compared: fixed or group-sequential, each being single- or two-arm. The primary outcome was 14-day survival rate. For single-arm designs, results were compared to a pre-trial historical survival rate pH. Treatments efficacy was evaluated by one-sided tests of proportion (fixed designs) and Whitehead triangular tests (group-sequential designs) with type-I-error?=?0.025. Both survival rates in the control arm pC and survival rate differences Δ (including 0) varied. Three specific cases were considered: “standard” (fixed pC, reaching NSN for fixed designs and maximum sample size NMax for group-sequential designs); “changing with time” (increased pC over time); “stopping of recruitment” (epidemic ends). We calculated the proportion of simulated trials showing treatment efficacy, with K?=?93,639 simulated trials to get a type-I-error PI95% of [0.024;0.026]. Under H0 (Δ?=?0), for the “standard” case, the type-I-error was maintained regardless of trial designs. For “changing with time” case, when pC??pH, type-I-error was inflated, and when pC??pH it decreased. Wrong conclusions were more often observed for single-arm designs due to an increase of Δ over time. Under H1 (Δ?=? ?0.2), for the “standard” case, the power was similar between single- and two-arm designs when pC?=?pH. For “stopping of recruitment” case, single-arm performed better than two-arm designs, and fixed designs reported higher power than group-sequential designs. A web R-Shiny application was developed. At an outbreak beginning, group-sequential two-arm trials should be preferred, as the infected cases number increases allowing to conduct a strong randomized control trial. Group-sequential designs allow early termination of trials in cases of harmful experimental treatment. After the epidemic peak, fixed single-arm design should be preferred, as the cases number decreases but this assumes a high level of confidence on the pre-trial historical survival rate.
机译:病毒出血性烧伤的特点是具有高死亡率的不规则爆发。在这种情况下实施治疗试验时出现困难。爆发持续时间很难预测,与试验发射延迟和所需的主题数量延迟(NSN)招聘相比,可能是短暂的。我们的目标是使用临床试验模拟,在各种爆发方案中使用临床试验模拟,不同的试验设计进行实验治疗评估。比较了四种类型的设计:固定或统一顺序,每个都是单臂或双臂。主要结果是14天存活率。对于单臂设计,结果与预试验历史存活率pH进行了比较。处理疗效是通过类型 - I-error的一侧比例(固定设计)和白头三角形测试(组连续设计)的片面测试评估疗效?=?0.025。控制臂PC的存活率和生存率差异δ(包括0)变化。考虑了三种具体情况:“标准”(固定PC,用于针对固定设计的NSN和用于组顺序设计的最大样本大小Nmax); “随时间变化”(随着时间的推移而增加); “停止招聘”(疫情结束)。我们计算了显示治疗效果的模拟试验的比例,K =α= 93,639个模拟试验,得到了[0.024]的I型误差PI95%。在H0(Δ=Δ0)下,对于“标准”案例,无论试用设计如何,都会维持I型错误。对于“随时间变化”案例,当PC?&?pH,类型-i误差膨胀,当PC?&ΔPP下降。由于随着时间的推移增加,单臂设计更常见的结论是更常见的结论。在H1(Δ=Δ0.2)下,对于“标准”案例,当PC时,电源与双臂设计之间相似?=ΔPH。对于“停止招聘”案例,单臂比双臂设计更好地表现,并且固定设计报告的功率高于群体顺序设计。开发了一个Web R-Shiny应用程序。在爆发开始时,应优选群体顺序双臂试验,因为受感染的病例数量增加允许进行强大的随机控制试验。组排序设计允许在有害实验治疗情况下提前终止试验。在疫情峰后,固定单臂设计应该是优选的,因为案件数量减少,但这对预临时历史存活率具有高度的信心。

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