Instituto de Efectividad Clínica y Sanitaria (IECS-CONICET), Buenos Aires, Argentina.
US Food and Drug Administration, CBER, WA, Columbia.
Medicine (Baltimore). 2023 Mar 3;102(9):e32954. doi: 10.1097/MD.0000000000032954.
Numerous vaccines have been evaluated and approved for coronavirus disease 2019 (COVID-19). Since pregnant persons have been excluded from most clinical trials of COVID-19 vaccines, sufficient data regarding the safety of these vaccines for the pregnant person and their fetus have rarely been available at the time of product licensure. However, as COVID-19 vaccines have been deployed, data on the safety, reactogenicity, immunogenicity, and efficacy of COVID-19 vaccines for pregnant persons and neonates are becoming increasingly available. A living systematic review and meta-analysis of the safety and effectiveness of COVID-19 vaccines for pregnant persons and newborns could provide the information necessary to help guide vaccine policy decisions.
We aim to conduct a living systematic review and meta-analysis based on biweekly searches of medical databases (e.g., MEDLINE, EMBASE, CENTRAL) and clinical trial registries to systematically identify relevant studies of COVID-19 vaccines for pregnant persons. Pairs of reviewers will independently select, extract data, and conduct risk of bias assessments. We will include randomized clinical trials, quasi-experimental studies, cohort, case-control, cross-sectional studies, and case reports. Primary outcomes will be the safety, efficacy, and effectiveness of COVID-19 vaccines in pregnant persons, including neonatal outcomes. Secondary outcomes will be immunogenicity and reactogenicity. We will conduct paired meta-analyses, including prespecified subgroup and sensitivity analyses. We will use the grading of recommendations assessment, development, and evaluation approach to evaluate the certainty of evidence.
针对 2019 年冠状病毒病(COVID-19),已经有许多疫苗经过评估并获得批准。由于大多数 COVID-19 疫苗的临床试验都排除了孕妇,因此在获得产品许可时,关于这些疫苗对孕妇及其胎儿的安全性的数据很少。然而,随着 COVID-19 疫苗的推出,关于 COVID-19 疫苗在孕妇和新生儿中的安全性、反应原性、免疫原性和疗效的数据变得越来越多。对 COVID-19 疫苗在孕妇和新生儿中的安全性和有效性进行实时系统评价和荟萃分析,可以提供必要的信息,以帮助指导疫苗政策决策。
我们的目标是基于对医学数据库(如 MEDLINE、EMBASE、CENTRAL)和临床试验登记处的双周搜索,进行实时系统评价和荟萃分析,以系统地确定针对孕妇的 COVID-19 疫苗的相关研究。由两名评审员独立选择、提取数据并进行偏倚风险评估。我们将纳入随机临床试验、准实验研究、队列研究、病例对照研究、横断面研究和病例报告。主要结局将是 COVID-19 疫苗在孕妇中的安全性、疗效和有效性,包括新生儿结局。次要结局将是免疫原性和反应原性。我们将进行配对荟萃分析,包括预先指定的亚组和敏感性分析。我们将使用推荐评估、制定和评估方法的分级评估证据的确定性。