ma-publication-quality

Check PRISMA 2020 reporting compliance by auditing manuscript sections against PRISMA and MOOSE checklists to verify alignment with data sources. This ensures reporting completeness and methodological robustness for journal submissions.

Validate cross-references in a meta-analysis manuscript by enforcing consistency checks between data tables, figures, and manuscript claims. This process ensures reproducibility and verifies that all referenced outputs align with the analytical results.

Generate a GRADE Summary of Findings (SoF) by running an automated QA workflow on your analysis folders to produce the required outputs. This includes cross-reference validation to ensure the SoF tables match the manuscript data.

Your meta-analysis needs Hartung-Knapp adjustments and prediction intervals to satisfy methodological robustness requirements for high-impact journals. These robust diagnostics are enforced during the QA pipeline to verify result reliability.

You can run a publication-quality audit on manuscripts in stages from draft to final QA package. The pipeline processes your manuscript and analysis folders to identify reporting gaps and methodological issues at any stage.

A final QA package for a meta-analysis submission should include PRISMA 2020 and MOOSE checklists, GRADE SoF outputs, robust diagnostics, and cross-reference validations. This comprehensive audit ensures a journal-ready manuscript.