Welcome to Automated Metanalysis & Systematic Reviews!#
This comprehensive tutorial teaches you how to automate your literature review process using modern Python tools. Whether you’re conducting a systematic review, metanalysis, or comprehensive literature search for your research, this book will guide you through efficient, reproducible workflows that save time and keep every decision traceable.
Why Automate Your Literature Review?#
Systematic reviews and metanalyses are essential for evidence-based research, but they’re traditionally time-consuming and error-prone. This book teaches you to:
Search multiple databases in one run (Scopus, PubMed, arXiv, IEEE Xplore)
Automate paper collection and deduplication
Speed up screening with keyword rules or a local AI model - under human oversight
Retrieve full-text PDFs automatically
Generate publication-ready bibliographies
Create reproducible research workflows
What You’ll Learn#
This book covers everything from basic setup to advanced automation techniques, including:
✅ Building complex search queries across multiple databases
✅ Refining and categorizing search results efficiently
✅ Downloading full-text papers automatically
✅ Managing references and generating BibTeX files
✅ Creating reproducible, documented workflows
✅ Reporting your search and screening following PRISMA 2020
Getting Started 🚀
Learn what systematic reviews and metanalyses are, why automation matters, and set up your environment.
Review Buddy
One-command pipeline for systematic reviews: multi-database search, keyword or local-AI screening, and Zotero-style PDF retrieval.
Additional Tools
Discover complementary tools and advanced techniques for comprehensive literature analysis.
Useful Resources#
📖 PRISMA Statement - Reporting standards for systematic reviews
New to systematic reviews?
Start with the Introduction section to understand the fundamentals before diving into the tools!
Ready to revolutionize your literature review process? Let’s get started! 🎯