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Updated: Feb 25, 2026

Author Spotlight: Emerging Technologies and Advanced Tools for Decoding Metabolomics Data Analysis

Author Spotlight: Emerging Technologies and Advanced Tools for Decoding Metabolomics Data Analysis

Published on: November 10, 2023

NetMetaEasy: enabling rapid and user-friendly network meta-analysis (NMA) for comparative effectiveness research.

János Tibor Fekete^1,2, András Komócsi³, Balázs Győrffy^1,2,4

¹Department of Bioinformatics, Semmelweis University, Budapest, Hungary.

British Journal of Pharmacology

|February 23, 2026

Summary

This summary is machine-generated.

NetMetaEasy is a user-friendly web platform for conducting network meta-analyses (NMA) quickly and easily. It simplifies complex statistical analysis, making advanced evidence synthesis accessible to more researchers in pharmacology.

Keywords:

comparative effectiveness drug treatment evidence synthesis hazard rate pharmacology treatment web‐based tool

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Area of Science:

Pharmacology and Biostatistics
Evidence Synthesis and Meta-Analysis

Background:

Network meta-analysis (NMA) is crucial for comparing multiple treatments but requires specialized statistical expertise and software.
Wider adoption of NMA is hindered by its complexity and accessibility barriers for many researchers.

Purpose of the Study:

To introduce NetMetaEasy, a web-based platform designed for user-friendly execution and visualization of network meta-analyses.
To lower the technical barrier for performing NMA, enabling broader application in research and clinical guidelines.

Main Methods:

NetMetaEasy is an R/Shiny platform supporting binary, continuous, and summary-effect data.
It offers both frequentist and Bayesian NMA with P-score and SUCRA ranking.
Utilizes netmeta and gemtc R packages for fixed- and random-effects models, generating standard NMA outputs.

Main Results:

The platform successfully performed NMA on a dataset of SGLT2 inhibitors for cardiovascular outcomes.
NetMetaEasy generated all standard NMA outputs, identified beneficial treatments, and showed no small-study bias.
The entire analysis workflow, from data upload to interpretation-ready plots, was completed in minutes.

Conclusions:

NetMetaEasy offers an accessible solution for network meta-analysis, streamlining data processing, analysis, and visualization.
The platform facilitates more widespread and rapid evidence synthesis in pharmacology, especially for those without advanced statistical training.