RIMeta: An R shiny tool for estimating the reference interval from a meta-analysis.
RIMeta: An R shiny tool for estimating the reference interval from a meta-analysis.
复制标题
RIMeta：一个 R 闪亮工具，用于估计荟萃分析的参考区间。
DOI：
10.1002/jrsm.1626
复制
发表时间：
2023
影响因子：
9.8
通讯作者：
Siegel,Lianne
中科院分区：
文献类型：
--
作者：
Jiang,Ziren;Cao,Wenhao;Chu,Haitao;Bazerbachi,Fateh;Siegel,Lianne
参考区间，或来自健康人群的预定比例的测量值预期下降的区间，用于确定一个人的测量值是否是健康个体的典型。对于特定的生物标记物，多项发表的研究可能会提供从健康参与者那里收集的数据。通过组合这些研究的数据来估计的参考区间通常比基于单个研究的参考区间更具概括性。最近提出了从随机效应元分析和固定效应元分析估计参考区间的方法，并使用R软件实现了该方法。我们提出了一个R闪亮的工具，RIMeta，实现了这些方法，它允许不精通R的用户使用每项研究的汇总数据(平均值、标准差和样本量)从Meta分析估计参考区间。Https://cers.shinyapps.io/RIMeta/)(RIMETA)为用户提供了一种方便的方法，可以从荟萃分析中估计参考区间，并生成参考区间图以可视化结果。使用这个基于Web的R闪亮工具不需要安装R或任何编程背景知识。我们解释了R SHINY工具的所有功能，并用一个真实的数据示例说明了如何使用它。
A reference interval, or an interval in which a prespecified proportion of measurements from a healthy population are expected to fall, is used to determine whether a person's measurement is typical of a healthy individual. For a specific biomarker, multiple published studies may provide data collected from healthy participants. A reference interval estimated by combining the data across these studies is typically more generalizable than a reference interval based on a single study. Methods for estimating reference intervals from random effects meta‐analysis and fixed‐effects meta‐analysis have been recently proposed and implemented using R software. We present an R Shiny tool, RIMeta, implementing these methods, which allows users not proficient in R to estimate a reference interval from a meta‐analysis using aggregate data (mean, standard deviation, and sample size) from each study. RIMeta (https://cers.shinyapps.io/RIMeta/) provides users a convenient way to estimate a reference interval from a meta‐analysis and to generate the reference interval plot to visualize the results. The use of this web‐based R Shiny tool does not require the installation of R or any background knowledge of programming. We explain all functions of the R Shiny tool and illustrate how to use it with a real data example.