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预防 COVID-19 的疫苗:一项包含个体患者数据的活系统评价与网络荟萃分析的方案(LIVING VACCINE 项目)。

Vaccines to prevent COVID-19: a protocol for a living systematic review with network meta-analysis including individual patient data (The LIVING VACCINE Project).

机构信息

Copenhagen Trial Unit, Centre for Clinical Intervention Research, Department 7812, Rigshospitalet, Copenhagen University Hospital, Blegdamsvej 9, 2100, Copenhagen, Denmark.

Systematic Review Initiative, NHS Blood and Transplant, John Radcliffe Hospital, Headley Way, Oxford, OX3 9BQ, UK.

出版信息

Syst Rev. 2020 Nov 20;9(1):262. doi: 10.1186/s13643-020-01516-1.

Abstract

BACKGROUND

Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) causes coronavirus disease 2019 (COVID-19) which has rapidly spread worldwide. Several human randomized clinical trials assessing potential vaccines are currently underway. There is an urgent need for a living systematic review that continuously assesses the beneficial and harmful effects of all available vaccines for COVID-19.

METHODS/DESIGN: We will conduct a living systematic review based on searches of major medical databases (e.g., MEDLINE, EMBASE, CENTRAL) and clinical trial registries from their inception onwards to identify relevant randomized clinical trials. We will update the literature search once a week to continuously assess if new evidence is available. Two review authors will independently extract data and conduct risk of bias assessments. We will include randomized clinical trials comparing any vaccine aiming to prevent COVID-19 (including but not limited to messenger RNA; DNA; non-replicating viral vector; replicating viral vector; inactivated virus; protein subunit; dendritic cell; other vaccines) with any comparator (placebo; "active placebo;" no intervention; standard care; an "active" intervention; another vaccine for COVID-19) for participants in all age groups. Primary outcomes will be all-cause mortality; a diagnosis of COVID-19; and serious adverse events. Secondary outcomes will be quality of life and non-serious adverse events. The living systematic review will include aggregate data meta-analyses, trial sequential analyses, network meta-analyses, and individual patient data meta-analyses. Within-study bias will be assessed using Cochrane risk of bias tool. The Grading of Recommendations, Assessment, Development and Evaluations (GRADE) and Confidence in Network Meta-Analysis (CINeMA) approaches will be used to assess certainty of evidence. Observational studies describing harms identified during the search for trials will also be included and described and analyzed separately.

DISCUSSION

COVID-19 has become a pandemic with substantial mortality. A living systematic review assessing the beneficial and harmful effects of different vaccines is urgently needed. This living systematic review will regularly inform best practice in vaccine prevention and clinical research of this highly prevalent disease.

SYSTEMATIC REVIEW REGISTRATION

PROSPERO CRD42020196492.

摘要

背景

严重急性呼吸综合征冠状病毒 2(SARS-CoV-2)导致 2019 年冠状病毒病(COVID-19),该病毒已在全球迅速传播。目前正在进行几项评估潜在疫苗的人类随机临床试验。迫切需要进行一项持续评估所有可用 COVID-19 疫苗的有益和有害影响的实时系统评价。

方法/设计:我们将基于对主要医学数据库(例如 MEDLINE、EMBASE、CENTRAL)和临床试验注册处的搜索,开展一项实时系统评价,以确定相关的随机临床试验。我们将每周更新一次文献检索,以持续评估是否有新的证据。两名综述作者将独立提取数据并进行偏倚风险评估。我们将纳入比较任何旨在预防 COVID-19 的疫苗(包括但不限于信使 RNA;DNA;非复制性病毒载体;复制性病毒载体;灭活病毒;蛋白亚单位;树突状细胞;其他疫苗)与任何对照(安慰剂;“活性安慰剂”;无干预;标准护理;“活性”干预;另一种 COVID-19 疫苗)在所有年龄组参与者中的随机临床试验。主要结局为全因死亡率;COVID-19 的诊断;和严重不良事件。次要结局为生活质量和非严重不良事件。实时系统评价将包括汇总数据荟萃分析、试验序贯分析、网络荟萃分析和个体患者数据荟萃分析。使用 Cochrane 偏倚风险工具评估研究内偏倚。将使用推荐、评估、制定和评估分级(GRADE)和网络荟萃分析置信度(CINeMA)方法来评估证据的确定性。还将包括并单独描述和分析描述试验搜索过程中发现的危害的观察性研究。

讨论

COVID-19 已成为一种具有高死亡率的大流行疾病。迫切需要进行实时系统评价来评估不同疫苗的有益和有害影响。该实时系统评价将定期为这种高度流行疾病的疫苗预防和临床研究提供最佳实践信息。

系统评价注册

PROSPERO CRD42020196492。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5473/7679989/1e4661bd6c75/13643_2020_1516_Fig1_HTML.jpg

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