SyRF vs Universal SLR Assistant

SyRF is a web platform for researchers conducting systematic reviews and meta-analyses of preclinical studies. It supports collaborative projects, configurable workflows, study screening, annotation, data extraction, and educational guidance. By default, two reviewers assess studies against inclusion and exclusion criteria, with a third reviewer handling disagreements. Student projects can enable single screening, though the guide does not recommend it for journal-bound reviews. Administrators create annotation questions and assign them to workflow stages; graph extraction requires data extraction and annotation together. Studies and associated data, including quantitative results for analysis in R or SAS, can be downloaded. References must be deduplicated and supplied as EndNote Desktop XML or CSV. Full-text PDFs may be linked, but users provide the files separately for SyRF staff to process and store. Projects can be public or private, and each project currently supports one criteria set. SyRF is free online, with a minimum feature set under continuous development.

Universal SLR Assistant supports systematic and scoping reviews with AI-assisted screening, extraction, and reproducible outputs. It provides a desktop interface and a browser-based local Web App, and imports RIS, BibTeX, CSV, and plain-text references, including exports from PubMed, Scopus, and Web of Science. Its workflow covers abstract screening, full-text PDF processing, structured extraction, and export; likely duplicates are identified by DOI and fuzzy title matching. Workspace mode stores references, PDF metadata, review items, decisions, and audit events in a local SQLite workspace, separating AI suggestions from human decisions. Exports can include decision files and logs, exclusion reasons, PRISMA-ready counts, a methods disclosure draft, and a manifest. The project supports a range of cloud and local AI providers. Cloud providers receive submitted paper text, while Ollama or another local endpoint can keep it on the user's computer or local network. AI results are assistance only: people must verify them and make final review and reporting decisions. The software is free under the MIT License; cloud AI provider API fees may apply.