Network meta-analysis methods: characteristics and knowledge synthesis approaches

    Characteristics and knowledge synthesis approach for 456 network meta-analyses: a scoping review

    Zarin W, Veroniki AA, Nincic V, Vafaei A, Reynen E, Motiwala SS, Antony J, Sullivan SM, Rios P, Daly C, Ewusie J, Petropoulou M, Nikolakopoulou A, Chaimani A, Salanti G, Straus SE, Tricco AC. Characteristics and knowledge synthesis approach for 456 network meta-analyses: a scoping review. BMC Med. 2017 Jan 5;15(1):3. doi: 10.1186/s12916-016-0764-6.

     

    [sidebar] Funders: Canadian Agency for Drugs and Technologies in Health (CADTH) and Canadian Institutes of Health Research (CIHR)

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    • The database of network meta-analysis (NMA) characteristics generated from this review is being used for future research to advance the science of knowledge synthesis, including a recent publication comparing five knowledge synthesis approaches commonly used to assess clinical interventions
    • This scoping review revealed several reporting deficiencies and shortcuts in knowledge synthesis methods
    • Education amongst the research community is required to improve the quality of reporting and methodological quality of published network meta-analyses (NMAs)
    • The need for improving the methodological and reporting characteristics of network meta-analyses (NMAs) was identified, which is useful to facilitate decision making

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    Date : 14 Sep 2020