Covexe vs SyRF

Covexe is a browser-based platform for systematic reviews, meta-analysis, evidence synthesis, and applied statistics. Its review workflow spans question and search, screening, full-text review, extraction, appraisal, synthesis, and reporting. It supports systematic, scoping, network meta-analysis, diagnostic accuracy, umbrella, rapid, and narrative reviews. Methods include pairwise and network meta-analysis, GRADE ratings, risk-of-bias tools, and a PRISMA 2020 flow diagram; the statistics suite covers regression, survival analysis, diagnostic accuracy, and other methods checked against R packages and implementations. References can be imported in RIS, NBIB, BibTeX, PubMed XML, CSV, and Excel formats, with duplicates detected by DOI and PMID. Users can connect their own OpenAI, Anthropic, or Google AI key. The co-pilot pauses for approval at checkpoints, and AI screening will not exclude a study without user approval. Signed-out work stays in the browser; signed-in reviews are stored for cloud sync and sharing. The free plan costs nothing, while Pro costs $99 a year. Team costs $150 a year per seat with a three-seat minimum.

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.