NIHR Complex Reviews Support Unit, Department of Health Sciences, College of Life Sciences, University of Leicester, George Davies Centre, Leicester, UK.
Zeeman Institute: Systems Biology and Infectious Disease Epidemiology Research (SBIDER), School of Life Sciences, University of Warwick, Coventry, UK.
Res Synth Methods. 2019 Dec;10(4):569-581. doi: 10.1002/jrsm.1373. Epub 2019 Oct 11.
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.
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.
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.
A package was created for conducting NMA which satisfied our objectives, and this is described, and its application demonstrated, using an illustrative example.
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.
网络荟萃分析(NMA)是一种强大的分析方法,用于确定某种疾病的最佳治疗方法,被医疗保健决策者广泛使用。尽管存在用于进行 NMA 的软件程序,但使用它们需要相当多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。
开发一个基于网络的工具,允许仅使用标准互联网浏览器软件的用户能够使用直观的“点击”界面进行 NMA,并使用可视化图表呈现结果。
我们使用现有的 R 中的 netmeta 和 Shiny 包来进行分析,并开发用户界面,创建了 MetaInsight 工具,可通过网络免费使用。
创建了一个满足我们目标的 NMA 包,并通过一个示例来说明其应用。
我们相信,许多研究人员将发现我们的包有助于促进 NMA,并允许决策者实时直观地检查呈现的结果。这将影响统计分析对医疗保健决策的相关性,并通过授权有见识的非专业人员能够进行更具临床相关性的审查来可持续地增加能力。我们还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业分析方法创建类似的工具。