Objective Umbrella reviews are a new form of literature review that summarises the strength and/or quality of the evidence from all systematic reviews and meta-analyses conducted on a broad topic. This type of review thus provides an exhaustive examination of a vast body of information, providing the highest synthesis of knowledge. A critical strength of umbrella reviews is recalculating the meta-analytic estimates within a uniform framework to allow a consistent evidence stratification. To our best knowledge, there is no comprehensive package or software to conduct umbrella reviews. Methods The R package metaumbrella accomplishes this aim by building on three core functions that (1) automatically perform all required calculations in an umbrella review (including but not limited to pairwise meta-analyses), (2) stratify evidence according to various classification criteria and (3) generate a visual representation of the results. In addition, this package allows flexible inputs for each review or meta-analysis analysed (eg, means plus SD, or effect size estimate and CI) and customisation (eg, stratification criteria following Ioannidis, algorithmic GRADE or personalised classification). Results The R package metaumbrella thus provides the first comprehensive range of facilities to perform umbrella reviews with stratification of the evidence. Conclusion To facilitate the use of this package, even for researchers unfamiliar with R, we also provide a JAMOVI module and an open-access, browser-based graphical interface that allow use of the core functions of the package with a few mouse clicks.

中文翻译：

---

metaumbrella：第一个在伞式审查中进行数据分析并进行证据分层的综合套件

客观伞式综述是一种新形式的文献综述，它总结了针对广泛主题进行的所有系统综述和荟萃分析的证据的强度和/或质量。因此，这种类型的审查提供了对大量信息的详尽检查，提供了知识的最高综合。伞式审查的一个关键优势是在统一的框架内重新计算荟萃分析估计，以实现一致的证据分层。据我们所知，没有全面的软件包或软件可以进行伞式审查。方法 R 包元伞通过构建三个核心功能来实现这一目标，这些功能（1）自动执行伞式审查中所需的所有计算（包括但不限于成对荟萃分析），（2）根据各种分类标准对证据进行分层，以及(3) 生成结果的可视化表示。此外，该软件包允许对每次分析或荟萃分析进行灵活的输入（例如，均值加SD，或效应量估计和CI）和定制（例如，遵循Ioannidis、算法GRADE或个性化分类的分层标准）。结果 因此，R 包元伞提供了第一个全面的设施，用于通过证据分层进行伞式审查。结论 为了方便使用该软件包，即使对于不熟悉 R 的研究人员来说，我们还提供了 JAMOVI 模块和基于浏览器的开放访问图形界面，只需点击几下鼠标即可使用该软件包的核心功能。