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干预治疗 COVID-19:一项具有荟萃分析和试验序贯分析的实时系统评价(LIVING 项目)。

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

机构信息

Copenhagen Trial Unit-Centre for Clinical Intervention Research, Rigshospitalet, Copenhagen University Hospital, Copenhagen, Denmark.

Department of Internal Medicine-Cardiology Section, Holbæk Hospital, Holbæk, Denmark.

出版信息

PLoS Med. 2020 Sep 17;17(9):e1003293. doi: 10.1371/journal.pmed.1003293. eCollection 2020 Sep.

DOI:10.1371/journal.pmed.1003293
PMID:32941437
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7498193/
Abstract

BACKGROUND

Coronavirus disease 2019 (COVID-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.

METHODS AND FINDINGS

This is the first edition of a living systematic review of randomized clinical trials comparing the effects of all treatment interventions for participants in all age groups with COVID-19. We planned to conduct aggregate data meta-analyses, trial sequential analyses, network meta-analysis, and individual patient data meta-analyses. Our systematic review is based on Preferred Reporting Items for Systematic Reviews and Meta-Analysis (PRISMA) and Cochrane guidelines, and our 8-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 nonserious adverse events. We used Grading of Recommendations Assessment, Development and Evaluation (GRADE) to assess the certainty of evidence. We searched relevant databases and websites for published and unpublished trials until August 7, 2020. Two reviewers independently extracted data and assessed trial methodology. We included 33 randomized clinical trials enrolling a total of 13,312 participants. All trials were at overall high risk of bias. We identified one trial randomizing 6,425 participants to dexamethasone versus standard care. This trial showed evidence of a beneficial effect of dexamethasone on all-cause mortality (rate ratio 0.83; 95% confidence interval [CI] 0.75-0.93; p < 0.001; low certainty) and on mechanical ventilation (risk ratio [RR] 0.77; 95% CI 0.62-0.95; p = 0.021; low certainty). It was possible to perform meta-analysis of 10 comparisons. Meta-analysis showed no evidence of a difference between remdesivir versus placebo on all-cause mortality (RR 0.74; 95% CI 0.40-1.37; p = 0.34, I2 = 58%; 2 trials; very low certainty) or nonserious adverse events (RR 0.94; 95% CI 0.80-1.11; p = 0.48, I2 = 29%; 2 trials; low certainty). Meta-analysis showed evidence of a beneficial effect of remdesivir versus placebo on serious adverse events (RR 0.77; 95% CI 0.63-0.94; p = 0.009, I2 = 0%; 2 trials; very low certainty) mainly driven by respiratory failure in one trial. Meta-analyses and trial sequential analyses showed that we could exclude the possibility that hydroxychloroquine versus standard care reduced the risk of all-cause mortality (RR 1.07; 95% CI 0.97-1.19; p = 0.17; I2 = 0%; 7 trials; low certainty) and serious adverse events (RR 1.07; 95% CI 0.96-1.18; p = 0.21; I2 = 0%; 7 trials; low certainty) by 20% or more, and meta-analysis showed evidence of a harmful effect on nonserious adverse events (RR 2.40; 95% CI 2.01-2.87; p < 0.00001; I2 = 90%; 6 trials; very low certainty). Meta-analysis showed no evidence of a difference between lopinavir-ritonavir versus standard care on serious adverse events (RR 0.64; 95% CI 0.39-1.04; p = 0.07, I2 = 0%; 2 trials; very low certainty) or nonserious adverse events (RR 1.14; 95% CI 0.85-1.53; p = 0.38, I2 = 75%; 2 trials; very low certainty). Meta-analysis showed no evidence of a difference between convalescent plasma versus standard care on all-cause mortality (RR 0.60; 95% CI 0.33-1.10; p = 0.10, I2 = 0%; 2 trials; very low certainty). Five single trials showed statistically significant results but were underpowered to confirm or reject realistic intervention effects. None of the remaining trials showed evidence of a difference on our predefined outcomes. Because of the lack of relevant data, it was not possible to perform other meta-analyses, network meta-analysis, or individual patient data meta-analyses. The main limitation of this living review is the paucity of data currently available. Furthermore, the included trials were all at risks of systematic errors and random errors.

CONCLUSIONS

Our results show that dexamethasone and remdesivir might be beneficial for COVID-19 patients, but the certainty of the evidence was low to very low, so more trials are needed. We can exclude the possibility of hydroxychloroquine versus standard care reducing the risk of death and serious adverse events by 20% or more. Otherwise, no evidence-based treatment for COVID-19 currently exists. This review will continuously inform best practice in treatment and clinical research of COVID-19.

摘要

背景

2019 年冠状病毒病(COVID-19)是一种迅速传播的疾病,给个人、家庭、国家和世界带来了巨大的负担。目前急需有效的 COVID-19 治疗方法。

方法和发现

这是一项针对 COVID-19 所有治疗干预措施的随机临床试验的汇总数据的综述,纳入了所有年龄组的参与者。我们计划进行汇总数据荟萃分析、试验序贯分析、网络荟萃分析和个体患者数据荟萃分析。我们的系统综述基于系统评价和荟萃分析的首选报告项目(PRISMA)和 Cochrane 指南,并采用我们的 8 步程序来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。次要结局是入住重症监护病房、机械通气、肾脏替代治疗、生活质量和非严重不良事件。我们使用推荐评估、制定和评估(GRADE)来评估证据的确定性。我们搜索了已发表和未发表的试验相关数据库和网站,截至 2020 年 8 月 7 日。两名评审员独立提取数据并评估试验方法。我们纳入了 33 项随机临床试验,共纳入 13312 名参与者。所有试验的总体偏倚风险较高。我们确定了一项随机分配 6425 名参与者接受地塞米松与标准治疗的试验。该试验表明地塞米松对全因死亡率(率比 0.83;95%置信区间 [CI] 0.75-0.93;p < 0.001;低确定性)和机械通气(风险比 [RR] 0.77;95%CI 0.62-0.95;p = 0.021;低确定性)的有益作用。可以对 10 项比较进行荟萃分析。荟萃分析表明,瑞德西韦与安慰剂相比,全因死亡率(RR 0.74;95%CI 0.40-1.37;p = 0.34,I2 = 58%;2 项试验;极低确定性)或非严重不良事件(RR 0.94;95%CI 0.80-1.11;p = 0.48,I2 = 29%;2 项试验;低确定性)无差异。荟萃分析表明,瑞德西韦与安慰剂相比,严重不良事件(RR 0.77;95%CI 0.63-0.94;p = 0.009,I2 = 0%;2 项试验;极低确定性)有获益,主要是由于一项试验中的呼吸衰竭。荟萃分析和试验序贯分析表明,我们可以排除羟氯喹与标准治疗降低全因死亡率(RR 1.07;95%CI 0.97-1.19;p = 0.17;I2 = 0%;7 项试验;低确定性)和严重不良事件(RR 1.07;95%CI 0.96-1.18;p = 0.21;I2 = 0%;7 项试验;低确定性)风险 20%以上的可能性,荟萃分析表明,对非严重不良事件(RR 2.40;95%CI 2.01-2.87;p < 0.00001;I2 = 90%;6 项试验;极低确定性)有有害作用。荟萃分析表明,洛匹那韦-利托那韦与标准治疗在严重不良事件(RR 0.64;95%CI 0.39-1.04;p = 0.07,I2 = 0%;2 项试验;极低确定性)或非严重不良事件(RR 1.14;95%CI 0.85-1.53;p = 0.38,I2 = 75%;2 项试验;极低确定性)方面无差异。荟萃分析表明,恢复期血浆与标准治疗在全因死亡率(RR 0.60;95%CI 0.33-1.10;p = 0.10,I2 = 0%;2 项试验;极低确定性)方面无差异。五项单试验显示出统计学上的显著结果,但功效不足,无法确认或否定现实的干预效果。其余试验均未显示出我们预先定义的结局存在差异。由于目前缺乏相关数据,无法进行其他荟萃分析、网络荟萃分析或个体患者数据荟萃分析。本研究的主要局限性是目前数据的缺乏。此外,纳入的试验均存在系统误差和随机误差的风险。

结论

我们的结果表明,地塞米松和瑞德西韦可能对 COVID-19 患者有益,但证据的确定性为低至极低,因此需要更多的试验。我们可以排除羟氯喹与标准治疗降低 20%或更多的死亡率和严重不良事件的可能性。否则,目前不存在 COVID-19 的循证治疗方法。本综述将不断为 COVID-19 的治疗和临床研究提供最佳实践信息。

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