Our review team is working in parallel in 5 time zones to continuously update the COVID-evidence BASIC database. It has currently 592 studies preliminary included. It is "preliminary" because we combine human extractions with automatic processes and algorithms:

274 trials testing interventions to prevent or treat COVID-19 were included by human reviewers. COVID-evidence BASIC shows the extractions of basic information for them.

318 further studies were found to be potentially relevant by automatic extraction algorithms and are awaiting assessment by our expert reviewers. These entries need to be interpreted with caution because in our experience, such automatic extractions from registries sometimes require human judgement to adequately classify them. However, it is very likely that they are accurately included as trials testing interventions to prevent or treat COVID-19.

The details on the study flow are reported at OSF and more info on the status of the data (human/manual vs automatic/algorithm) is in the FAQ.

What's next: Updates and Expansion Modules

Our data scientists and software engineers work on automatic updates, integrating additional sources and continuously adapting the algorithms to prefill the data items for COVID-evidence BASIC. We will soon add the remaining data sources and then chronologically update the already included ones in order to be most up-to-date for all trials.

COVID-evidence BASIC is the first step of COVID-evidence, aiming to provide a catalogue of planned, ongoing and completed trials. However, it is just the basis.

We now initiated the next step, the "Expansion Modules" (see FAQ). With such modules we will provide more details to dig deeper and go beyond of a catalogue of trials, focusing on more detailed questions.

We will present more details very soon.