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Interventions for preventing and treating COVID-19: protocol for a living mapping of research and a living systematic review

Authors: Isabelle Boutron; Anna Chaimani; Declan Devane; Joerg J Meerpohl; David Tovey; Asbjørn Hróbjartsson; Philippe Ravaud;

Interventions for preventing and treating COVID-19: protocol for a living mapping of research and a living systematic review

Abstract

WHO declared COVID-19 a pandemic on March 11, 2020. Researchers are working to accelerate the development of diagnostic tests, preventive interventions and therapeutic interventions. Many randomized trials have been established to evaluate candidate therapeutic agents that may effectively reduce symptoms and avoid deaths. This emerging situation requires the optimal planning and conduct of trials as well as strategies for the appropriate translation of research into practice. Therefore, decision-makers and researchers urgently need a complete, high-quality and up-to-date synthesis of data from all ongoing research studies as soon as they are available. To this end, we will perform a living mapping of ongoing randomized trials, followed by living systematic reviews with pairwise meta-analyses and when possible, network meta-analyses focusing on two main questions: 1) the effectiveness of preventive interventions for COVID-19 and 2) the effectiveness of treatment interventions for COVID-19. We will evaluate the impact of these treatments considering the severity of the disease (i.e., mild, moderate, severe and critical diseases). This protocol details the process and methods we will use.

Keywords

SARS-CoV-2, 2019-nCoV, Covid-19

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download
citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
views
OpenAIRE UsageCountsViews provided by UsageCounts
downloads
OpenAIRE UsageCountsDownloads provided by UsageCounts
7
Top 10%
Top 10%
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137
27
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