Article type
Abstract
"Background
At present, many online applications for conducting systematic reviews based on R-shiny have emerged. We want to explore the development and quality of these online assistance platforms to help better utilize online assistance platform development for better system evaluation.
Objective
This study aimed to identify existing tools for developing systematic reviews and/or meta-analysis (SRMAs) based on Shiny package in R software, and summarize their characteristics.level of automation, functionality, advantages and disadvantages.
Method
We searched Web of science and CNKI from inception until November 2023 using search terms such as ""R-shiny"" . Studies introduced the tools for developing SRMAs based on the R-shiny software packages were included. Two reviewers independently screened literature, extracted data, and evaluated the tool using the ARS scale.
Result
16 studies were included, most of which were used for data analysis, and all of these tools used a semi-automated ""click through"" interface. There is a significant different in the quality of the included tools, with higher scores in the fields of functionality and information quality, followed by aesthetics, and the lowest participation score. Some tools exhibit high effectiveness and reliability, but their use depends on the user's understanding of the tools.
Conclusion
The data analysis function is becoming more mature, but the lack of teaching videos or corresponding textual descriptions leads to low user's participation. Based on the enormous potential of semi-automatic tools in the process of evidence synthesis, but with varying levels of accuracy and efficiency, semi-automatic tools should be used as auxiliary tools when making further progress.
Keywords
Systematic reviews; Meta-analysis; Mobile Application Rating Scale; R software; Shiny package"
At present, many online applications for conducting systematic reviews based on R-shiny have emerged. We want to explore the development and quality of these online assistance platforms to help better utilize online assistance platform development for better system evaluation.
Objective
This study aimed to identify existing tools for developing systematic reviews and/or meta-analysis (SRMAs) based on Shiny package in R software, and summarize their characteristics.level of automation, functionality, advantages and disadvantages.
Method
We searched Web of science and CNKI from inception until November 2023 using search terms such as ""R-shiny"" . Studies introduced the tools for developing SRMAs based on the R-shiny software packages were included. Two reviewers independently screened literature, extracted data, and evaluated the tool using the ARS scale.
Result
16 studies were included, most of which were used for data analysis, and all of these tools used a semi-automated ""click through"" interface. There is a significant different in the quality of the included tools, with higher scores in the fields of functionality and information quality, followed by aesthetics, and the lowest participation score. Some tools exhibit high effectiveness and reliability, but their use depends on the user's understanding of the tools.
Conclusion
The data analysis function is becoming more mature, but the lack of teaching videos or corresponding textual descriptions leads to low user's participation. Based on the enormous potential of semi-automatic tools in the process of evidence synthesis, but with varying levels of accuracy and efficiency, semi-automatic tools should be used as auxiliary tools when making further progress.
Keywords
Systematic reviews; Meta-analysis; Mobile Application Rating Scale; R software; Shiny package"