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Metalnsight: An interactive web-based tool for analyzing, interrogating, and visualizing network meta-analyses using R-shiny and netmeta

机译:Metalnsight:一种基于Web的交互式工具,用于使用R-shiny和netmeta对网络元分析进行分析,询问和可视化

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Background Network meta-analysis (NMA) is a powerful analysis method used to identify the best treatments for a condition and is used extensively by health care decision makers. Although software routines exist for conducting NMA, they require considerable statistical programming expertise to use, which limits the number of researchers able to conduct such analyses. Objectives To develop a web-based tool allowing users with only standard internet browser software to be able to conduct NMAs using an intuitive "point and click" interface and present the results using visual plots. Methods Using the existing netmeta and Shiny packages for R to conduct the analyses, and to develop the user interface, we created the MetaInsight tool which is freely available to use via the web. Results A package was created for conducting NMA which satisfied our objectives, and this is described, and its application demonstrated, using an illustrative example. Conclusions We believe that many researchers will find our package helpful for facilitating NMA as well as allowing decision makers to scrutinize presented results visually and in real time. This will impact on the relevance of statistical analyses for health care decision making and sustainably increase capacity by empowering informed nonspecialists to be able to conduct more clinically relevant reviews. It is also hoped that others will be inspired to create similar tools for other advanced specialist analyses methods using the freely available technologies we have adopted.
机译:背景网络荟萃分析(NMA)是一种功能强大的分析方法,可用于确定病症的最佳治疗方法,并且被医疗保健决策者广泛使用。尽管存在执行NMA的软件例程,但它们需要使用大量的统计编程专业知识,这限制了能够进行此类分析的研究人员的数量。目标开发一个基于Web的工具,使仅使用标准Internet浏览器软件的用户就可以使用直观的“点击”界面进行NMA,并使用可视化图展示结果。方法使用现有的netmeta和Shiny软件包对R进行分析并开发用户界面,我们创建了MetaInsight工具,该工具可通过网络免费使用。结果创建了一个用于执行NMA的程序包,该程序包满足了我们的目标,并通过一个说明性示例对此进行了描述,并演示了其应用。结论我们相信,许多研究人员会发现我们的软件包有助于促进NMA,并使决策者可以目视和实时检查呈现的结果。这将影响统计分析与卫生保健决策的相关性,并通过授权有经验的非专业人员能够进行更多与临床相关的审查,从而可持续地提高能力。也希望其他人能够受到启发,使用我们采用的免费技术为其他高级专家分析方法创建类似的工具。

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  • 来源
    《Research Synthesis Methods》 |2019年第4期|569-581|共13页
  • 作者单位

    Univ Leicester George Davies Ctr Coll Life Sci NIHR Complex Reviews Support Unit Dept Hlth Sci Univ Rd Leicester LE1 7RH Leics England;

    Univ Warwick Sch Life Sci Zeeman Inst Syst Biol & Infect Dis Epidemiol Res Coventry W Midlands England;

    Univ Glasgow Inst Hlth & Wellbeing HEHTA 141HR Complex Reviews Support Unit Glasgow Lanark Scotland;

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