Methods, transparency, and reviewer trust

Trust should come from the record

A polished interface is not evidence that a result is sound. Review teams need to see the data, choices, and review history that produced an output.

Coventra keeps those parts connected inside the project record so a result can be checked by the people responsible for the review.

What remains inspectable

• The studies and extracted values included in the analysis.
• The outcome, effect measure, model, and relevant analysis settings.
• Saved analysis runs and the outputs associated with each run.
• Source evidence and reviewer history where they are available in the workflow.
• Exportable datasets and analysis materials for independent review.

Established statistical methods

Coventra uses established R-based statistical methods for supported evidence-synthesis workflows rather than presenting an unexplained proprietary score.

The interface identifies the analysis family and relevant settings. Reproducibility exports can provide the data and supporting analysis material needed for a statistician or methodologist to inspect the work outside the application.

R environment and citation

Coventra v1.0.0 uses an R 4.3.3 statistical-service environment for supported analysis and plot-generation workflows.

The public Zenodo record documents the analysis environment and package versions so teams can cite the software environment used for an analysis without treating the record as a peer-reviewed validation study.

• Core analysis packages include meta 8.5-0, netmeta 3.5-0, metafor 5.0-1, metamedian 1.2.2, mada 0.5.12, bayesmeta 3.5, rjags 4-17, gemtc 1.1-1, and brglm2 1.1.0.
• Visualization and reporting packages include ggplot2 4.0.3, robvis 0.3.1, scales 1.4.0, svglite 2.2.2, and png 0.1-9.
• Service and data-handling packages include plumber 1.3.3, jsonlite 2.0.0, dplyr 1.2.1, and base64enc 0.1-6.
• Citation: Masood, M., & Masood, S. (2026). Coventra v1.0.0: Statistical Methods and R Environment Manifest (1.0.0). Zenodo. https://doi.org/10.5281/zenodo.20691893

What Coventra does not prove automatically

• That the selected studies answer the same review question.
• That extracted values, units, arm labels, and effect directions are correct.
• That the chosen model or assumptions are appropriate for the protocol.
• That statistical significance is clinically or methodologically important.
• That a generated interpretation is ready for a manuscript without review.

A practical verification routine

1. Confirm the included studies and compare key values with the extraction workspace and source PDFs.
2. Check the outcome definition, effect direction, model, and analysis settings against the protocol.
3. Inspect heterogeneity, inconsistency, diagnostics, and sensitivity outputs where relevant.
4. Save the final analysis run so the selected settings and result remain identifiable.
5. Export the data and reproducibility materials when an independent methods review is required.

The balance Coventra aims for

Coventra provides the method and provenance information needed for serious review while keeping the guidance focused on decisions researchers can inspect and verify.

Trust should rest on inspectable inputs, explicit settings, preserved decisions, reproducible outputs, and qualified human review.