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首页> 外文期刊>BMC Medical Research Methodology >Charting the landscape of graphical displays for meta-analysis and systematic reviews: a comprehensive review, taxonomy, and feature analysis
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Charting the landscape of graphical displays for meta-analysis and systematic reviews: a comprehensive review, taxonomy, and feature analysis

机译：图表显示荟萃分析和系统评论的图形显示景观：全面的审查，分类和特征分析

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Data-visualization methods are essential to explore and communicate meta-analytic data and results. With a large number of novel graphs proposed quite recently, a comprehensive, up-to-date overview of available graphing options for meta-analysis is unavailable. We applied a multi-tiered search strategy to find the meta-analytic graphs proposed and introduced so far. We checked more than 150 retrievable textbooks on research synthesis methodology cover to cover, six different software programs regularly used for meta-analysis, and the entire content of two leading journals on research synthesis. In addition, we conducted Google Scholar and Google image searches and cited-reference searches of prior reviews of the topic. Retrieved graphs were categorized into a taxonomy encompassing 11 main classes, evaluated according to 24 graph-functionality features, and individually presented and described with explanatory vignettes. We ascertained more than 200 different graphs and graph variants used to visualize meta-analytic data. One half of these have accrued within the past 10?years alone. The most prevalent classes were graphs for network meta-analysis (45 displays), graphs showing combined effect(s) only (26), funnel plot-like displays (24), displays showing more than one outcome per study (19), robustness, outlier and influence diagnostics (15), study selection and p-value based displays (15), and forest plot-like displays (14). The majority of graphs (130, 62.5%) possessed a unique combination of graph features. The rich and diverse set of available meta-analytic graphs offers a variety of options to display many different aspects of meta-analyses. This comprehensive overview of available graphs allows researchers to make better-informed decisions on which graphs suit their needs and therefore facilitates using the meta-analytic tool kit of graphs to its full potential. It also constitutes a roadmap for a goal-driven development of further graphical displays for research synthesis.
机译：数据可视化方法对于探索和传达元分析数据和结果至关重要。最近提出了大量新型图形，可以不可用的全面，最新的可用图形选项概述。我们应用了一个多层搜索策略，以查找到目前为止提出并介绍的元分析图。我们在研究综合方法封面上检查了150多本，涵盖了六种不同的软件程序，定期用于荟萃分析，以及两个领先的研究合成期刊的整个内容。此外，我们还进行了谷歌学者和Google Image搜索和引用的参考搜索主题的先前评论。检索到的图表被分类为包含11个主要类的分类法，根据24图形功能特征进行评估，并用解释性雕刻仪单独呈现和描述。我们确定了200多个不同的图形和图形变体，用于可视化元分析数据。其中一半在过去10年内累计了一年的时间。最流行的类是网络元分析（45显示）的图表，图表仅显示组合效果（26），漏斗绘图显示（24），显示器显示每个研究（19）的多于一个结果（19），鲁棒性，异常值和影响诊断（15），学习选择和基于P值的显示器（15），以及林图示（14）。大多数图表（130,62.5％）具有曲线图特征的独特组合。丰富和多样化的可用Meta-Analytic图标提供了各种选项，可显示多种不同方面的Meta-Analyzes。这种全面的可用图概述允许研究人员做出更好的明智决策，这些决定是根据其需求的更好的决策，从而有助于使用Meta-Analytic工具套件的图表来实现其全部潜力。它还构成了用于研究合成的进一步图形显示的目标驱动的路线图。

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