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Chinese Journal of Clinical Pharmacology and Therapeutics ›› 2020, Vol. 25 ›› Issue (9): 984-991.doi: 10.12092/j.issn.1009-2501.2020.09.004

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Development of tools for clinical trial information retrieval and Meta-analysis based on R-Shiny: Taking non-small cell lung cancer as an example

YU Zhaolei, BAI Jianling, YU Hao, ZHAO Yang   

  1. School of Public Health Nanjing Medical University, Nanjing 211166, Jiangsu, China
  • Received:2020-04-21 Revised:2020-07-15 Online:2020-09-26 Published:2020-09-30

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.

Key words: clinical trials, Meta-analysis, Shiny framework

CLC Number: