Choose EPPI-Reviewer if…
- You already use EPPI-Reviewer classifiers across many reviews.
- You need EPPI-Centre methods and export formats for funded reviews.
- Your team prefers training custom ML models on prior coding.
EPPI-Reviewer pioneered machine-learning classification for reviews. Meta-analysis360 pairs Gemini screening with protocol generation, PubMed search strings, and a guided workspace built for speed — you still confirm every include and exclude.
EPPI-Reviewer is developed by the EPPI-Centre (UCL). Meta-analysis360 is an independent product and is not endorsed by or affiliated with EPPI-Reviewer or UCL.
Side by side
Honest snapshot for researchers comparing screening tools. Features change — verify on each vendor's site before you decide.
FAQ
No. EPPI-Reviewer focuses on machine-learning classification and text mining for evidence synthesis. Meta-analysis360 is a broader AI workspace for planning, protocol, search, screening, and extraction. We are not affiliated with EPPI-Reviewer or UCL.
We use large-language-model screening with calibration on your eligibility criteria rather than training a bespoke classifier on hundreds of manually coded abstracts first.
Yes. AI suggestions are proposals. You apply or override labels — nothing is included or excluded without your confirmation.
Researchers who want a faster start on a single review with integrated AI assistance, rather than configuring ML pipelines in a methods-first tool.
Open the live agent demo or sign in to run AI-assisted screening on your own library.