MRC Integrative Epidemiology Unit at the University of Bristol, Bristol, UK.
Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK.
Res Synth Methods. 2021 Jan;12(1):55-61. doi: 10.1002/jrsm.1411. Epub 2020 May 6.
Despite a major increase in the range and number of software offerings now available to help researchers produce evidence syntheses, there is currently no generic tool for producing figures to display and explore the risk-of-bias assessments that routinely take place as part of systematic review. However, tools such as the R programming environment and Shiny (an R package for building interactive web apps) have made it straightforward to produce new tools to help in producing evidence syntheses. We present a new tool, robvis (Risk-Of-Bias VISualization), available as an R package and web app, which facilitates rapid production of publication-quality risk-of-bias assessment figures. We present a timeline of the tool's development and its key functionality.
尽管现在有许多范围广泛、数量众多的软件产品可帮助研究人员生成证据综合,但目前还没有通用工具可用于生成图形来展示和探索系统评价中通常进行的偏倚风险评估。然而,R 编程语言环境和 Shiny(用于构建交互式网络应用程序的 R 包)等工具使得创建新工具以帮助生成证据综合变得非常简单。我们介绍了一种新工具 robvis(风险偏倚可视化),它有 R 包和网络应用程序两种形式,可方便快捷地生成出版质量的风险偏倚评估图形。我们展示了工具的开发时间线及其关键功能。