Abstrackr vs EviSynth

Abstrackr is a free web tool for screening citations in systematic reviews. It supports solo work, blinded team screening, pilot rounds, and conflict resolution. After about 100 labels, machine learning ranks remaining citations by predicted relevance. A live PRISMA flow table records screening thresholds, resolved conflicts, exclusion reasons by tag, and analysis of the model’s stop point. Citations can be imported from PubMed, Scopus, or Embase, or uploaded as RIS and CSV files. The service deduplicates records by DOI and PMID and can merge remaining near-duplicates. Results export as CSV or RIS, with a full JSONL download for DuckDB queries. Blinding starts enabled, and changes are logged with user, reason, timestamp, and project snapshots. Member and Leader roles have no stated team-size limit, while reminders arrive 7, 4, and 1 day before deadlines. No installation is needed, and the site directs methodology questions to its community forum.

EviSynth is a platform for evidence syntheses and systematic reviews, available on Android, iOS, and the web. Its screening workflow uses a language model to assess abstracts against PICO criteria and suggest inclusion or exclusion. Built-in risk-of-bias tools support RoB 2, ROBINS-I, and custom checklists. Teams can invite collaborators, resolve conflicts, and track who screened each item and when. The AI Insights tab provides summaries, keyword extraction, and bias hints. References can be imported as EndNote XML or PubMed NBIB files, and the screening interface is designed for touch-screen use on mobile devices. The maker describes access as free for academic use, with no trials or subscriptions, and says no credit card is required to start. The platform is open source and presented for researchers, including students and faculty conducting rapid or full systematic reviews. The listed academic plan includes unlimited collaborators. The homepage credits Milad Mirmoghtadaei, M.D. as developer.