PlotScope
Statistics in real R

Network meta-analysis online, run in R

Compare three or more treatments with direct and indirect evidence. One table of study contrasts gives four publication panels from the R package netmeta: the network graph, the forest plot against a reference, the league table and the SUCRA ranking.

Network graph of five treatments and ten studies, made by PlotScope with netmeta
Real output of the PlotScope R engine, made from sample data.

Your table

studytreat1treat2TEseTE
S1PlaceboDrug A-1.20.30
S3PlaceboDrug B-1.60.32
S6Drug ADrug B-0.40.33

One row per study contrast: the two treatments, the effect and its standard error. For ratio measures (OR, RR, HR) the effect goes on the log scale. The network must be connected.

How it is chosen

Random-effects network meta-analysis (netmeta) with the frequentist model; the reference treatment can be chosen; ranking by SUCRA.

You get

R packages: R · netmeta · ggplot2

The inconsistency test, component network meta-analysis and CINeMA certainty for each comparison live in MetaScope. Open MetaScope ↗

Questions

What table does a network meta-analysis need?

One row per study contrast with the two treatments, the effect and its standard error. Ratio measures go on the log scale.

Can PlotScope test inconsistency or grade certainty with CINeMA?

Those run in MetaScope, the systematic review app from the same team; PlotScope makes the four network panels.

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