Abstrackr vs Silvi

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.

Silvi is a web tool for organizing scientific literature into structured evidence. Its review workflow covers collecting studies, screening them, extracting data and analyzing results, including systematic reviews, meta-analyses and network meta-analyses. Reviewers can include or exclude studies individually or in bulk, with AI screening suggestions available. Data extraction can use PDF text highlights, which Silvi stores alongside the extracted information, or AI; users can check and correct AI results. Extracted data can be organized in tables, plotted and exported. Teams can assign tasks, require multiple reviewers and blind decisions. Silvi lists imports from PubMed, OpenAlex, Web of Science, ERIC, Zotero, Mendeley and EndNote. Its Web of Science RIS workflow allows up to 1,000 records per export. Open-access papers can be retrieved automatically; paywalled papers must be obtained through a university library. Plans include a free option and paid options from €19/mo.