Network Meta-Analysis: The 3 things you need to know .

Network meta-analysis (NMA) allows researchers to compare multiple interventions through both direct and indirect evidence, offering a broader view than traditional pairwise meta-analysis. NMAs generate network estimates that integrate all available data, but interpreting these results can be challenging. Ranking tools like SUCRA are widely used yet limited—they ignore precision and evidence quality, sometimes overestimating poorly supported treatments. The partially contextualized approach accounts for effect size, precision, and certainty, but requires subjective judgment when defining effectiveness categories. Despite these challenges, NMAs remain valuable for comparing numerous treatment options, provided their limitations are carefully considered.