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Add study comparisons on the left, or load the sample dataset, then run the analysis to see the evidence network, league table, rankings, and forest plots.
Network results
Evidence network
Node size reflects number of studies involving that treatment. Line thickness reflects number of direct comparisons on that edge.
League table
Each cell: row treatment vs. column treatment. Reading direction, value is the effect of the column treatment relative to the row treatment.
P-score rankings
P-score estimates the probability a treatment is better than another, averaged across all comparisons (frequentist analogue of SUCRA).
Forest plot
All treatments relative to reference.
Heterogeneity & inconsistency
Node-splitting compares direct vs. indirect evidence for each edge with both available.
Interpretation
A plain-language, publication-style narrative generated automatically from your results. Included in the exported report.