关键词: COVID-19 hospitalized randomized controlled trial severe systematic literature review

Mesh : Humans COVID-19 / epidemiology Pandemics Randomized Controlled Trials as Topic SARS-CoV-2 COVID-19 Drug Treatment

来  源:   DOI:10.1080/03007995.2024.2377676

Abstract:
UNASSIGNED: To illustrate the challenges encountered when gathering rapidly synthesized evidence in response to the coronavirus disease 2019 (COVID-19) pandemic.
UNASSIGNED: In this article, we describe the challenges encountered when we performed a systematic literature review (SLR) of randomized controlled trials (RCTs) on the efficacy and safety of treatments for severe COVID-19. The methods of the SLR are described in full, to show the context of our objectives. Then we use the results of the SLR to demonstrate the problems of producing synthesized evidence in this setting.
UNASSIGNED: Various challenges were identified during this SLR. These were primarily a result of heterogeneity in the study methodology of eligible studies. Definitions of the patient populations and outcome measurements were highly variable and the majority of studies demonstrated a high risk of bias, preventing quantitative synthesis of the collated evidence.
UNASSIGNED: Consolidating evidence from RCTs evaluating COVID-19 interventions was problematic. Guidance is needed for scenarios with high rapid output in primary research.
摘要:
说明在收集针对2019年冠状病毒病(COVID-19)大流行的快速合成证据时遇到的挑战。
在本文中,我们描述了在对重症COVID-19治疗的疗效和安全性进行随机对照试验(RCT)的系统文献综述(SLR)时遇到的挑战.SLR的方法有完整的描述,展示我们目标的背景。然后,我们使用SLR的结果来证明在这种情况下产生综合证据的问题。
在此SLR期间发现了各种挑战。这些主要是符合条件的研究的研究方法的异质性的结果。患者人群的定义和结果测量结果差异很大,大多数研究表明存在较高的偏倚风险。防止对整理后的证据进行定量合成。
合并来自RCT评估COVID-19干预措施的证据是有问题的。对于初级研究中具有高快速产出的场景,需要指导。
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