Res Synth Methods. 2026 Mar 6:1-14. doi: 10.1017/rsm.2026.10074. Online ahead of print.
ABSTRACT
Network meta-analysis (NMA) is a vital methodology for synthesizing evidence across multiple treatments and informing medical decision-making. However, effective visualization and interpretation of results from large networks of interventions remain challenging, particularly for non-specialists. NMAstudio 2.0 is an innovative, interactive web application designed to address these difficulties by streamlining NMA workflows and enhancing result visualization. Developed using Python and R, NMAstudio 2.0 seamlessly integrates with established NMA frameworks. Our exemplar application of NMAstudio 2.0 using a Cochrane Review comparing several treatments for chronic plaque psoriasis demonstrates its capacity to facilitate all crucial steps of an NMA. The application features an intuitive interface for uploading data, automating analyses, generating interactive visualizations such as network diagrams, forest plots, ranking plots, and producing unique outputs like boxplots for transitivity checks and bidimensional forest plots. Most outputs are dynamically linked with the network diagram, enabling users to interactively explore evidence networks, apply advanced filtering, and highlight specific features by selecting nodes or edges within the diagram. While NMAstudio 2.0 aims to simplify NMAs, it also incorporates steps during the data upload process to mitigate the risk of producing poorly reported NMAs. NMAstudio 2.0 represents a significant step forward in improving the usability and accessibility of NMA, offering researchers a robust, versatile platform for evidence synthesis. Its integration of advanced features with an emphasis on user experience positions it as a valuable resource for enhancing decision-making and promoting evidence-based practice across diverse contexts.
PMID:41789459 | DOI:10.1017/rsm.2026.10074
