Find evidence on interventions for COVID-19
COVID-evidence is a continuously updated database of the worldwide available evidence on interventions for COVID-19.
We provide information about worldwide planned, ongoing, and completed randomized controlled trials on any intervention to treat or prevent SARS-CoV-2-infections.
N.B.: The funding for this project expired by June 1, 2022. The COVID-evidence database was automatically updated weekly until December 31, 2022 but manual screening has been stopped as of June 1, 2022.
The Mission
With this freely available continuously updated database, we aim to concentrate all available trial evidence on benefits and harms of interventions for SARS-CoV-2 infection in an easy-accessible manner.
COVID-evidence is a non-profit initiative of the Department of Clinical Research at University of Basel and the Meta-Research Innovation Center at Stanford with other international partners and collaborators.
We aim to provide a reliable starting point for those who need to make treatment decisions, plan new trials, or develop clinical practice guidelines and systematic reviews.
COVID-evidence collects up-to-date trial information as well as links to original sources such as study protocol documents, registry entries, and publications. The COVID-evidence database is used to foster collaboration and evidence generation on COVID-19 such as our rapid reviews on mortality outcomes with hydroxychloroquine and chloroquine or on convalescent plasma.
The Evidence
We consider reports, registry entries, and manuscripts. Eligible are trials testing any interventions actively allocated to humans to treat or prevent SARS-CoV-2-infections. Interventions include drug and non-drug treatments, diagnostic procedures, and decision-algorithms.
We include randomized controlled trials (RCTs) with no restriction on geographical regions or settings.
The Details
Data sources:
- For trial registry entries: Systematic searches in ClinicalTrials.gov and the WHO's International Clinical Trials Registry Platform (ICTRP).
- For publications and preprints: Systematic searches in the L·OVE platform of all randomized controlled trials reporting results. The platform covers PubMed, medRxiv, bioRxiv and many other data sources.
The underlying methods are transparently reported in the protocol available on OSF (final version, 11 July 2022) and all codes related to the construct of the database is available on GitHub.
Contact:
lars.hemkens@usb.ch
University of Basel | Department of Clinical Research
c/o University Hospital Basel | Schanzenstrasse 55 | CH-4031 Basel | Switzerland
