Analysis & reporting
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.
The AutoEvidence blog
Practical guides to planning, screening, and making sense of the evidence. Start with the basics or find the next step in your review.
Start with the complete guide8 guides to explore
Analysis & reporting
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.
Analysis & reporting
Learn how to read a forest plot: squares, whiskers, the pooled diamond, effect measures, weights, heterogeneity, prediction intervals, and common misreadings.
Screening & appraisal
How AI-assisted abstract screening works in systematic reviews, where it fails, and how to combine it with human adjudication and transparent reporting.
Screening & appraisal
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.
Analysis & reporting
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.
Planning & search
A PRISMA-P guide to writing a systematic review protocol: precise eligibility criteria, draft search strategy, synthesis plans, PROSPERO timing, and pitfalls.
Planning & search
A practical, step-by-step guide to conducting a systematic review: PICO, PROSPERO, search strategy, dual screening, risk of bias, and PRISMA 2020 reporting.
Planning & search
How to build a systematic review search strategy: PICO concept blocks, MeSH plus free-text terms, Boolean logic, grey literature, and PRISMA 2020 reporting.