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Interventions for treatment of COVID-19: Second edition of a living systematic review with meta-analyses and trial sequential analyses (The LIVING Project)

机译:治疗Covid-19的干预:第二版与Meta分析和试验顺序分析(生活项目)

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BackgroundCOVID-19 is a rapidly spreading disease that has caused extensive burden to individuals, families, countries, and the world. Effective treatments of COVID-19 are urgently needed. This is the second edition of a living systematic review of randomized clinical trials assessing the effects of all treatment interventions for participants in all age groups with COVID-19.Methods and findingsWe planned to conduct aggregate data meta-analyses, trial sequential analyses, network meta-analysis, and individual patient data meta-analyses. Our systematic review was based on PRISMA and Cochrane guidelines, and our eight-step procedure for better validation of clinical significance of meta-analysis results. We performed both fixed-effect and random-effects meta-analyses. Primary outcomes were all-cause mortality and serious adverse events. Secondary outcomes were admission to intensive care, mechanical ventilation, renal replacement therapy, quality of life, and non-serious adverse events. According to the number of outcome comparisons, we adjusted our threshold for significance to p = 0.033. We used GRADE to assess the certainty of evidence. We searched relevant databases and websites for published and unpublished trials until November 2, 2020. Two reviewers independently extracted data and assessed trial methodology. We included 82 randomized clinical trials enrolling a total of 40,249 participants. 81 out of 82 trials were at overall high risk of bias. Meta-analyses showed no evidence of a difference between corticosteroids versus control on all-cause mortality (risk ratio [RR] 0.89; 95% confidence interval [CI] 0.79 to 1.00; p = 0.05; I2 = 23.1%; eight trials; very low certainty), on serious adverse events (RR 0.89; 95% CI 0.80 to 0.99; p = 0.04; I2 = 39.1%; eight trials; very low certainty), and on mechanical ventilation (RR 0.86; 95% CI 0.55 to 1.33; p = 0.49; I2 = 55.3%; two trials; very low certainty). The fixed-effect meta-analyses showed indications of beneficial effects. Trial sequential analyses showed that the required information size for all three analyses was not reached. Meta-analysis (RR 0.93; 95% CI 0.82 to 1.07; p = 0.31; I2 = 0%; four trials; moderate certainty) and trial sequential analysis (boundary for futility crossed) showed that we could reject that remdesivir versus control reduced the risk of death by 20%. Meta-analysis (RR 0.82; 95% CI 0.68 to 1.00; p = 0.05; I2 = 38.9%; four trials; very low certainty) and trial sequential analysis (required information size not reached) showed no evidence of difference between remdesivir versus control on serious adverse events. Fixed-effect meta-analysis showed indications of a beneficial effect of remdesivir on serious adverse events. Meta-analysis (RR 0.40; 95% CI 0.19 to 0.87; p = 0.02; I2 = 0%; two trials; very low certainty) showed evidence of a beneficial effect of intravenous immunoglobulin versus control on all-cause mortality, but trial sequential analysis (required information size not reached) showed that the result was severely underpowered to confirm or reject realistic intervention effects. Meta-analysis (RR 0.63; 95% CI 0.35 to 1.14; p = 0.12; I2 = 77.4%; five trials; very low certainty) and trial sequential analysis (required information size not reached) showed no evidence of a difference between tocilizumab versus control on serious adverse events. Fixed-effect meta-analysis showed indications of a beneficial effect of tocilizumab on serious adverse events. Meta-analysis (RR 0.70; 95% CI 0.51 to 0.96; p = 0.02; I2 = 0%; three trials; very low certainty) showed evidence of a beneficial effect of tocilizumab versus control on mechanical ventilation, but trial sequential analysis (required information size not reached) showed that the result was severely underpowered to confirm of reject realistic intervention effects. Meta-analysis (RR 0.32; 95% CI 0.15 to 0.69; p < 0.00; I2 = 0%; two trials; very low certainty) showed evidence of a beneficial effect of bromhexine versus standard care on non-serious adverse events, but trial sequential analysis (required information size not reached) showed that the result was severely underpowered to confirm or reject realistic intervention effects. Meta-analyses and trial sequential analyses (boundary for futility crossed) showed that we could reject that hydroxychloroquine versus control reduced the risk of death and serious adverse events by 20%. Meta-analyses and trial sequential analyses (boundary for futility crossed) showed that we could reject that lopinavir-ritonavir versus control reduced the risk of death, serious adverse events, and mechanical ventilation by 20%. All remaining outcome comparisons showed that we did not have enough information to confirm or reject realistic intervention effects. Nine single trials showed statistically significant results on our outcomes, but were underpowered to confirm or reject realistic intervention effects. Due to lack of data, it was not relevant to perform network meta-analysis or possible to perform individual patient data meta-analyses.ConclusionsNo evidence-based treatment for COVID-19 currently exists. Very low certainty evidence indicates that corticosteroids might reduce the risk of death, serious adverse events, and mechanical ventilation; that remdesivir might reduce the risk of serious adverse events; that intravenous immunoglobin might reduce the risk of death and serious adverse events; that tocilizumab might reduce the risk of serious adverse events and mechanical ventilation; and that bromhexine might reduce the risk of non-serious adverse events. More trials with low risks of bias and random errors are urgently needed. This review will continuously inform best practice in treatment and clinical research of COVID-19.Systematic review registrationPROSPERO CRD42020178787.
机译:背景 COVID-19 是一种快速传播的疾病,给个人、家庭、国家和世界带来了广泛的负担。迫切需要有效治疗 COVID-19。这是随机临床试验实时系统评价的第二版,评估所有治疗干预措施对所有 COVID-19 年龄组参与者的影响。方法和发现我们计划进行汇总数据元分析、试验顺序分析、网络元-分析和个体患者数据荟萃分析。我们的系统评价基于 PRISMA 和 Cochrane 指南,以及我们的八步程序,以更好地验证荟萃分析结果的临床意义。我们进行了固定效应和随机效应荟萃分析。主要结局是全因死亡率和严重不良事件。次要结局是重症监护、机械通气、肾脏替代治疗、生活质量和非严重不良事件。根据结果​​比较的数量,我们将显着性阈值调整为 p = 0.033。我们使用 GRADE 来评估证据的确定性。我们在相关数据库和网站上搜索了 2020 年 11 月 2 日前已发表和未发表的试验。两名评价员独立提取数据并评估试验方法。我们纳入了 82 项随机临床试验,共招募了 40,249 名参与者。 82 项试验中有 81 项总体上存在高偏倚风险。荟萃分析显示,没有证据表明皮质类固醇与对照组在全因死亡率方面存在差异(风险比 [RR] 0.89;95% 置信区间 [CI] 0.79 至 1.00;p = 0.05;I2 = 23.1%;八项试验;非常低确定性)、严重不良事件(RR 0.89;95% CI 0.80 至 0.99;p = 0.04;I2 = 39.1%;八项试验;确定性极低)和机械通气(RR 0.86;95% CI 0.55 至 1.33) ;p = 0.49;I2 = 55.3%;两项试验;非常低的确定性)。固定效应荟萃分析显示了有益效果的迹象。试验序贯分析显示未达到所有三种分析所需的信息量。荟萃分析(RR 0.93;95% CI 0.82 至 1.07;p = 0.31;I2 = 0%;四项试验;中等确定性)和试验序贯分析(无效边界交叉)表明,我们可以拒绝瑞德西韦与对照相比降低了死亡风险增加 20%。荟萃分析(RR 0.82;95% CI 0.68 至 1.00;p = 0.05;I2 = 38.9%;四项试验;确定性极低)和试验序贯分析(未达到所需的信息量)显示没有证据表明瑞德西韦与对照之间存在差异关于严重的不良事件。固定效应荟萃分析显示瑞德西韦对严重不良事件有有益作用的迹象。荟萃分析(RR 0.40;95% CI 0.19 至 0.87;p = 0.02;I2 = 0%;两项试验;极低确定性)显示静脉注射免疫球蛋白与对照组相比对全因死亡率有益的证据,但试验顺序分析(未达到所需的信息量)表明结果严重不足,无法确认或拒绝现实的干预效果。荟萃分析(RR 0.63;95% CI 0.35 至 1.14;p = 0.12;I2 = 77.4%;五项试验;确定性极低)和试验序贯分析(未达到所需的信息量)显示没有证据表明托珠单抗与控制严重不良事件。固定效应荟萃分析显示托珠单抗对严重不良事件有益的迹象。荟萃分析(RR 0.70;95% CI 0.51 至 0.96;p = 0.02;I2 = 0%;三项试验;非常低的确定性)显示了托珠单抗与对照对机械通气的有益影响的证据,但试验序贯分析(需要信息大小未达到)表明结果严重不足,无法确认拒绝现实干预效果。荟萃分析(RR 0.32;95% CI 0.15 至 0.69;p < 0.00;I2 = 0%;两项试验;非常低的确定性)显示溴己新与标准治疗对非严重不良事件的有益效果的证据,但试验顺序分析(未达到所需的信息量)表明,结果严重不足,无法确认或拒绝现实的干预效果。荟萃分析和试验序贯分析(越过无效边界)表明,我们可以拒绝羟氯喹与对照相比将死亡和严重不良事件的风险降低 20%。荟萃分析和试验序贯分析(无效边界)表明,我们可以拒绝洛匹那韦-利托那韦与对照组相比将死亡、严重不良事件和机械通气风险降低 20%。所有剩余的结果比较表明,我们没有足够的信息来确认或拒绝现实的干预效果。九项单一试验对我们的结果显示出具有统计学意义的结果,但不足以确认或拒绝现实的干预效果。由于缺乏数据,它不相关进行网络荟萃分析或可能进行个体患者数据荟萃分析。结论目前不存在针对 COVID-19 的循证治疗。 极低确定性证据表明皮质类固醇可能会降低死亡、严重不良事件和机械通气的风险; 瑞德西韦可能会降低严重不良事件的风险; 静脉注射免疫球蛋白可能会降低死亡和严重不良事件的风险; 托珠单抗可能会降低严重不良事件和机械通气的风险; 并且溴己新可能会降低非严重不良事件的风险。 迫切需要更多具有低偏倚和随机错误风险的试验。 本综述将持续为 COVID-19 治疗和临床研究的最佳实践提供信息。系统评价注册 PROSPERO CRD42020178787。

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