Research insights and guides
Learn about systematic reviews, AI-powered research tools, and best practices for medical evidence synthesis.
Living Systematic Reviews: Keeping Evidence Current in a Fast-Moving World
An introduction to living systematic reviews — continuously updated evidence syntheses for rapidly evolving research areas. Learn when they are warranted, how they work, and what infrastructure they require.
PRISMA 2020 vs PRISMA-ScR vs PRISMA-DTA vs PRISMA-NMA: Which Reporting Guideline Do You Need?
A side-by-side comparison of all four PRISMA reporting guidelines. Learn the key differences in checklists, flow diagrams, and when each variant applies to your systematic review.
How to Choose the Right Study Type for Your Systematic Review
Choosing between pairwise, prognostic, DTA, NMA, and scoping study types determines your entire systematic review workflow. This guide explains how each study type shapes your methodology.
The GRADE Framework: Rating Evidence from Very Low to High
A complete guide to the GRADE framework for rating the certainty of evidence in systematic reviews. Learn the five downgrade domains, three upgrade factors, and how to build Summary of Findings tables.
Risk of Bias Assessment: Choosing Between RoB 2, ROBINS-I, NOS, and QUADAS-2
A practical guide to selecting the right risk of bias assessment tool for your systematic review. Covers RoB 2 for RCTs, ROBINS-I for non-randomized studies, NOS for cohort and case-control designs, and QUADAS-2 for diagnostic accuracy studies.
Network Meta-Analysis Explained: When and How to Compare Multiple Treatments
A practical introduction to network meta-analysis (NMA) for researchers. Learn when NMA is appropriate, how it works, and what makes it different from standard pairwise meta-analysis.
Scoping Reviews: A Complete Guide to PRISMA-ScR in 2026
Learn when to conduct a scoping review instead of a systematic review, how to apply the PCC framework, and how to report your findings using the PRISMA-ScR checklist.
The Complete Guide to Systematic Reviews in 2026
Learn everything you need to know about systematic reviews, from the fundamentals to advanced methodologies, and discover how AI is revolutionizing the process.
mapped vs Covidence: A Feature-by-Feature Comparison
Compare mapped and Covidence side-by-side. See why mapped offers a complete 8-step workflow with AI assistance, while Covidence focuses only on screening and extraction.
How AI is Transforming Systematic Reviews in 2026
Explore how artificial intelligence, including Claude, Gemini, and GPT, is revolutionizing systematic reviews through intelligent screening, automated extraction, and AI-assisted analysis.