Trial2rev: Combining machine learning and crowd-sourcing to create a shared space for updating systematic reviews.

We designed a publicly-accessible resource to help systematic reviewers make decisions about systematic review updates. Where previous approaches have sought to reactively filter published reports of trials for inclusion in systematic reviews, our approach is to proactively monitor for relevant trials as they are registered and completed.