What does this research mean for the field?

The provided R code successfully reproduces the forest plot and simplified sequential forest plot of the 2022 ALL-IN-META-BCG-CORONA MedRxiv meta-analysis. Novelty: ClaimNovelty.METHODOLOGICAL. Consensus alignment: ConsensusAlignment.NEUTRAL.

What question did this study set out to answer?

The aim is to provide reproducible R code for generating forest plots from a specific meta-analysis.

June 1, 2026

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ALL-IN-META-BCG-CORONA R code to only reproduce forest plot and simplified sequential forest plot of 2022 MedRxiv meta-analysis

Key Points

The aim is to provide reproducible R code for generating forest plots from a specific meta-analysis.
Published as a supplement to a commentary paper in Cochrane journal.
Focuses on producing standard and simplified sequential forest plots.
Forest plots demonstrate findings from the 2022 meta-analysis on COVID-19 vaccination and BCG efficacy.
The R code can be utilized to replicate analyses from individual participant data.

Abstract

```text This code is published as a supplement to a Commentary paper in the Cochrane Evidence Synthesis and Methods journal special issue Collaborative Evidence Synthesis: Individual Participant Data, Prospective Meta-analysis, and Other Approaches ```

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Cite This Study

Judith ter Schure (Sat,) studied this question.

synapsesocial.com/papers/6a1d236002fbce9130638f5a https://doi.org/https://doi.org/10.53962/pxav-kspy

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