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Integrating Sankey Diagrams Into Meta-Analysis Reporting: A Novel Approach to Visualizing Intergroup Relationships, Study Inclusion, Event Rates, and Statistical Outcomes in Systematic Reviews and Meta-Analysis of Pediatric Surgery

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Abstract

Meta-analyses are among the most valuable methodologies in clinical research, as they integrate data from multiple studies to generate stronger and more reliable conclusions. Traditionally, statistical outcomes in meta-analyses are displayed through forest plots, funnel plots. These tools are the core of meta-analysis and are useful for displaying results. Nevertheless, these tools are limited in their ability to provide an integrated visualization of key meta-analytic outcomes—such as intergroup relationships, number of included studies, number of patients, percentages, and p-values—within a single figure.

Keywords

Meta-analysis MethodologyData VisualizationSankey DiagramsPediatric SurgerySystematic Review ReportingForest PlotsEvidence Synthesis

Hashtags

#MetaAnalysis#DataVisualization#PediatricSurgery#EvidenceBasedMedicine

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How to cite: GlobalCastMD. Integrating Sankey Diagrams Into Meta-Analysis Reporting: A Novel Approach to Visualizing Intergroup Relationships, Study Inclusion, Event Rates, and Statistical Outcomes in Systematic Reviews and Meta-Analysis of Pediatric Surgery. GlobalCastMD Medical Library. 2025-09-09. https://library.globalcastmd.com/article/10965

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