Development of tools for clinical trial information retrieval and Meta-analysis based on R-Shiny: Taking non-small cell lung cancer as an example / 中国临床药理学与治疗学

ABSTRACT

AIM: To develop a tool providing the graphical user interface (GUI), which can integrate Meta-analysis and information retrieval from clinical trials. METHODS: The Web application based on the Bootstrap framework was built with the Shiny package of R language, and the information retrieval and meta-analysis functions were implemented based on the R packages of DT, Meta, gemtc, etc. RESULTS: The tool could filter the articles and variables according to the user's requirements, and the information presented in the form of a table. Users can also select different experimental group drugs and control group drugs for classic meta-analysis, and add or subtract different studies to construct the network map between drugs for network meta-analysis. CONCLUSION: This tool has a friendly user interface, which is easy to use, accurate in analysis and drawing results, and can bring convenience to researchers.