PRISMA Guidelines: A Practical Guide to Transparent Reporting
Choose PRISMA guidance, map checklist items to manuscript evidence, and check your reporting package with worked flow-diagram examples.
Explore research methods, writing guidance and practical tools to support your academic work, from developing ideas to communicating results.
Clear explanations, useful examples, and the original sources behind them.
Choose PRISMA guidance, map checklist items to manuscript evidence, and check your reporting package with worked flow-diagram examples.
Understand what makes a review systematic, compare review types, and follow a worked evidence trail before planning your first review.
Learn when pooling is meaningful and read effect sizes, weights and uncertainty through a reproducible synthetic forest plot and calculation.
Distinguish invention intake, application disclosure and public disclosure, then prepare a source-linked technical handoff with a fictional worked example.
Task-based guides to AI assistance, verification, and the work that stays with you.
Compare screening and extraction roles, including Gatsbi Reviewer, and use a worked pilot to check missed records, human decisions and source traceability.
Compare AI assistance, Gatsbi Reviewer, RevMan and R/metafor. Check analysis inputs, model settings and reproducibility with a worked data ledger.
Choose a toolchain for your synthesis task, define handoff fields, and track how source corrections affect data, claims and approved releases.
Compare discovery, reading and organization roles, including Gatsbi Deep Research. Check sources and build a thematic matrix for a literature review.
Compare disclosure-assistance roles and plan a synthetic pilot to check factual fidelity, data controls and the material handed to a professional reviewer.
Choose AI tools for academic writing by task, meaning preservation, citation handling, and revision effort. Use a practical framework to test your workflow.