Systematic review methods & AI
Practical guides on conducting systematic reviews and meta-analyses — and where AI genuinely helps.
Systematic Review vs. Meta-Analysis: What's the Difference?
A systematic review is a process; a meta-analysis is an optional statistical step inside one. Learn when to pool, when not to, and how to read forest plots.
How to Read a Forest Plot: A Practical Guide
Learn how to read a forest plot: squares, whiskers, the pooled diamond, effect measures, weights, heterogeneity, prediction intervals, and common misreadings.
AI-Assisted Abstract Screening: How It Works and When to Trust It
How AI-assisted abstract screening works in systematic reviews, where it fails, and how to combine it with human adjudication and transparent reporting.
Risk of Bias Assessment: RoB 2 and ROBINS-I Explained
Learn how to assess risk of bias with RoB 2 and ROBINS-I: domains, signaling questions, per-result judgments, and how to use ratings in synthesis and GRADE.
PRISMA 2020 Explained: Checklist, Flow Diagram, and How to Comply
What PRISMA 2020 actually requires: the 27-item checklist, the new flow diagram, key changes from 2009, and practical tips for tracking counts as you screen.
How to Write a Systematic Review Protocol (PRISMA-P Guide)
A PRISMA-P guide to writing a systematic review protocol: precise eligibility criteria, draft search strategy, synthesis plans, PROSPERO timing, and pitfalls.
How to Conduct a Systematic Review: A Step-by-Step Guide
A practical, step-by-step guide to conducting a systematic review — PICO, PROSPERO, search strategy, dual screening, risk of bias, and PRISMA 2020 reporting.
How to Build a Systematic Review Search Strategy
How to build a systematic review search strategy: PICO concept blocks, MeSH plus free-text terms, Boolean logic, grey literature, and PRISMA 2020 reporting.