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Autor/inn/enEvrenoglou, Theodoros; Boutron, Isabelle; Seitidis, Georgios; Ghosn, Lina; Chaimani, Anna
TitelmetaCOVID: A Web-Application for Living Meta-Analyses of COVID-19 Trials
QuelleIn: Research Synthesis Methods, 14 (2023) 3, S.479-488 (10 Seiten)Infoseite zur Zeitschrift
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ZusatzinformationORCID (Evrenoglou, Theodoros)
ORCID (Boutron, Isabelle)
ORCID (Seitidis, Georgios)
ORCID (Ghosn, Lina)
ORCID (Chaimani, Anna)
Spracheenglisch
Dokumenttypgedruckt; online; Zeitschriftenaufsatz
ISSN1759-2879
DOI10.1002/jrsm.1627
SchlagwörterCOVID-19; Pandemics; Meta Analysis; Computer Oriented Programs; Randomized Controlled Trials; Medical Research; Medical Services
AbstractOutputs from living evidence syntheses projects have been used widely during the pandemic by guideline developers to form evidence-based recommendations. However, the needs of different stakeholders cannot be accommodated by solely providing pre-defined non amendable numerical summaries. Stakeholders also need to understand the data and perform their own exploratory analyses. This requires resources, time, statistical expertise, software knowledge as well as relevant clinical expertise to avoid spurious conclusions. To assist them, we created the "metaCOVID" application which, based on automation processes, facilitates the fast exploration of the data and the conduct of sub-analyses tailored to end-users needs. "metaCOVID" has been created in R and is freely available as an R-Shiny application. Based on the COVID-NMA platform (https://covid-nma.com/) the application conducts living meta-analyses of randomized controlled trials related to COVID-19 treatments and vaccines for several outcomes. Several options are available for subgroup and sensitivity analyses. The results are presented in downloadable forest plots. We illustrate "metaCOVID" through three examples involving well-known treatments and vaccines for COVID-19. The application is freely available from https://covid-nma.com/metacovid/. (As Provided).
AnmerkungenWiley. Available from: John Wiley & Sons, Inc. 111 River Street, Hoboken, NJ 07030. Tel: 800-835-6770; e-mail: cs-journals@wiley.com; Web site: https://www.wiley.com/en-us
Erfasst vonERIC (Education Resources Information Center), Washington, DC
Update2024/1/01
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