Visualizing periodic stability in studies: the moving average meta-analysis (MA2)

TL;DR

This paper introduces the moving average meta-analysis (MA2) method to enhance visualization and exploration of periodic stability in meta-analyses, aiding researchers in understanding temporal patterns in clinical study benefits.

Contribution

The paper presents a novel moving average meta-analysis technique for better visualizing and analyzing periodic stability in meta-analytical data.

Findings

Enables clearer visualization of periodic stability over time.

Improves understanding of temporal patterns in clinical benefits.

Facilitates more informed decision-making in clinical research.

Abstract

Relative clinical benefits are often visually explored and formally analysed through a (cumulative) meta-analysis. In this manuscript, we introduce and further explore the moving average meta-analysis to aid towards the exploration and visualization of periodic stability in a meta-analysis.