Cytel, London, UK.
Office of Surveillance and Epidemiology, CDER, US Food and Drug Administration, Silver Spring, Maryland, USA.
Clin Pharmacol Ther. 2023 Sep;114(3):604-613. doi: 10.1002/cpt.2977. Epub 2023 Jul 20.
During the coronavirus disease 2019 (COVID-19) pandemic, the urgency for updated evidence to inform public health and clinical care placed systematic literature reviews (SLRs) at the cornerstone of research. We aimed to summarize evidence on prognostic factors for COVID-19 outcomes through published SLRs and to critically assess quality elements in the findings' interpretation. An umbrella review was conducted via electronic databases from January 2020 to April 2022. All SLRs (and meta-analyses) in English were considered. Data screening and extraction were conducted by two independent reviewers. AMSTAR 2 tool was used to assess SLR quality. The study was registered with PROSPERO (CRD4202232576). Out of 4,564 publications, 171 SLRs were included of which 3 were umbrella reviews. Our primary analysis included 35 SLRs published in 2022, which incorporated studies since the beginning of the pandemic. Consistent findings showed that, for adults, older age, obesity, heart disease, diabetes, and cancer were more strongly predictive of risk of hospitalization, intensive care unit admission, and mortality due to COVID-19. Male sex was associated with higher risk of short-term adverse outcomes, but female sex was associated with higher risk of long COVID. For children, socioeconomic determinants that may unravel COVID-19 disparities were rarely reported. This review highlights key prognostic factors of COVID-19, which can help clinicians and health officers identify high-risk groups for optimal care. Findings can also help optimize confounding adjustment and patient phenotyping in comparative effectiveness research. A living SLR approach may facilitate dissemination of new findings. This paper is endorsed by the International Society for Pharmacoepidemiology.
在 2019 冠状病毒病(COVID-19)大流行期间,为了及时提供新的证据以指导公共卫生和临床护理,系统文献综述(SLRs)成为研究的基石。我们旨在通过已发表的 SLRs 总结 COVID-19 结局的预后因素,并批判性地评估发现解释中的质量要素。通过电子数据库,从 2020 年 1 月到 2022 年 4 月进行了伞式综述。考虑了所有英文的 SLR(和荟萃分析)。数据筛选和提取由两名独立审查员进行。使用 AMSTAR 2 工具评估 SLR 质量。该研究已在 PROSPERO(CRD4202232576)上注册。在 4564 篇出版物中,有 171 篇 SLR 被纳入,其中 3 篇是伞式综述。我们的主要分析包括 2022 年发表的 35 篇 SLR,这些 SLR 纳入了大流行开始以来的研究。一致的研究结果表明,对于成年人来说,年龄较大、肥胖、心脏病、糖尿病和癌症与 COVID-19 住院、入住重症监护病房和死亡的风险更高相关。男性与短期不良结局的风险增加相关,但女性与长 COVID 的风险增加相关。对于儿童,很少有报道社会经济决定因素可能揭示 COVID-19 差异。本综述强调了 COVID-19 的关键预后因素,这有助于临床医生和卫生官员为最佳护理确定高风险群体。研究结果还可以帮助优化比较有效性研究中的混杂调整和患者表型。采用 SLR 方法可以促进新发现的传播。本文得到国际药物流行病学学会的支持。