NMAstudio web-application: A brief tutorial

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NMAstudio is a novel, user-friendly web application that enables interactive visualization and interpretation of network meta-analyses by linking customizable network diagrams directly to study outputs.

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This paper describes NMAstudio, a tutorial for a Python/R-based web application that enables users to upload network meta-analysis data, interact with a customizable network diagram, and produce linked NMA outputs for visualization and interpretation. The key functionality is a direct visual connection between selected treatment nodes/comparison edges and tailored results generated using the R netmeta package. The authors explicitly present this as a preprint and note that it has not been peer reviewed, and the text does not report validation performance or comparative benchmarking. Relevance to endometriosis: the paper is focused on software for network meta-analysis generally, and no specific endometriosis or adenomyosis evidence is discussed beyond its applicability as an NMA tool for conditions including pelvic disorders.

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Abstract

Abstract For a given medical condition, network meta-analysis (NMA) compares multiple available treatments in a network of comparative studies and provides both direct and indirect estimates of the relative effects for all treatments at hand. Despite NMA is increasingly used to inform decision-making, the lack of user-friendly software is still limiting its usage within a restricted community of researchers and end-users. In this tutorial, we describe NMAstudio, a novel user-friendly tool aimed to produce and visualise network meta-analyses in a fully interactive way. NMAstudio enhances visualisation while simplifying the reporting and interpretation of findings. The main feature of the application is a direct visual connection between a customisable network diagram and the main NMA outputs. Specifically, users upload their data and interact with the network diagram by clicking one or more nodes-treatments or edges-comparisons; based on the selection made, tailored outputs and information are displayed. NMAstudio is written in Python and connected to the R package netmeta to produce the NMA estimates.
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Despite NMA is increasingly used to inform decision-making, the lack of user-friendly software is still limiting its usage within a restricted community of researchers and end-users. In this tutorial, we describe NMAstudio, a novel user-friendly tool aimed to produce and visualise network meta-analyses in a fully interactive way. NMAstudio enhances visualisation while simplifying the reporting and interpretation of findings. The main feature of the application is a direct visual connection between a customisable network diagram and the main NMA outputs. Specifically, users upload their data and interact with the network diagram by clicking one or more nodes-treatments or edges-comparisons; based on the selection made, tailored outputs and information are displayed. NMAstudio is written in Python and connected to the R package netmeta to produce the NMA estimates. Biostatistics web-app network meta-analysis python Full Text Cite Share Download PDF Status: Posted Version 1 posted You are reading this latest preprint version Research Square lets you share your work early, gain feedback from the community, and start making changes to your manuscript prior to peer review in a journal. As a division of Research Square Company, we’re committed to making research communication faster, fairer, and more useful. We do this by developing innovative software and high quality services for the global research community. Our growing team is made up of researchers and industry professionals working together to solve the most critical problems facing scientific publishing. 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