How to think about exports
Exports serve different jobs. Some are for manuscript tables, some for reference managers, some for statistical review, and some for long-term audit. Pick the export by the question you need to answer.
Free data exports
- Project CSV: flat project dataset for QA and downstream analysis.
- Outcomes Long CSV: long-form outcome rows for statistics workflows.
- Project JSON: structured project export for pipelines and auditing.
- R Script: reproducible analysis script scaffold.
- Validation Report: detailed validation findings per study and field.
Free reporting exports
- PRISMA Checklist: PRISMA 2020 checklist CSV for manuscript preparation.
- PRISMA-S Search: logged source strategies, filters, result counts, and imported counts.
- Included Studies Table CSV: Table 1-style study characteristics summary.
- Manuscript Characteristics DOCX: Word tables for study and baseline characteristics.
- Excluded Studies Appendix: full-text exclusions with reasons, exported as a spreadsheet.
- BibTeX and RIS: all project references for reference managers.
- Included BibTeX and Included RIS: included studies only, useful for manuscript reference lists.
Free audit exports
- Deduplication Audit: duplicate counts by method plus candidate-level resolution history.
- Reviewer Reliability: agreement statistics for screening and blind extraction.
- Validation Report: field-level validation findings and readiness information.
Manuscript characteristics DOCX
The DOCX export builds Word tables for study characteristics and baseline characteristics. It is intended to help prepare manuscript Table 1-style material and appendices.
- Study characteristics come from study metadata and study-design extraction rows.
- Baseline characteristics come from baseline extraction rows.
- The export includes empty-state messages when relevant fields have not been extracted.
- Open the file and check labels, values, units, missingness, and row order before using it in a manuscript.
Reproducibility package
The reproducibility ZIP is premium-gated and designed for handoff or archiving. It packages structured data and metadata, plus manifests for generated/skipped plot artifacts.
- data.csv: extracted dataset.
- metadata.json: export metadata.
- forest_plots/manifest.json: forest plot status by outcome.
- rob_plots/manifest.json: risk-of-bias plot status.
Pre-submission export checklist
- Open every file you plan to share.
- Check that the export contains the intended project and study scope.
- Compare key manuscript values against the extraction grid and source PDFs.
- Confirm full-text exclusion reasons match the final protocol categories.
- Save final exports with the protocol, analysis settings, and date generated.