In this manuscript we use realistic data to conduct a network meta-analysis using a Bayesian approach to analysis. The purpose of this manuscript is to explain, in lay terms, how to interpret the output of such an analysis. Many readers are familiar with the forest plot as an approach to presenting the results of a pairwise meta-analysis. However when presented with the results of network meta-analysis, which often does not include the forest plot, the output and results can be difficult to understand. Further, one of the advantages of Bayesian network meta-analyses is in the novel outputs such as treatment rankings and the probability distributions are more commonly presented for network meta-analysis. Our goal here is to provide a tutorial for how to read the outcome of network meta-analysis rather than how to conduct or assess the risk of bias in a network meta-analysis.

中文翻译：

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如何阅读和解释贝叶斯网络荟萃分析的结果：简短教程

在这份手稿中，我们使用真实数据进行网络元分析，使用贝叶斯方法进行分析。这份手稿的目的是用通俗的术语解释如何解释这种分析的输出。许多读者都熟悉森林图作为呈现成对荟萃分析结果的一种方法。然而，当呈现网络荟萃分析的结果时，通常不包括森林图，输出和结果可能难以理解。此外，贝叶斯网络荟萃分析的优势之一在于新颖的输出，例如治疗排名，并且概率分布更常用于网络荟萃分析。