CORONA Insights: 2021: Project Updates and Promising Treatments

2021 was a productive year for the CORONA Project. Through the efforts of many volunteers and staff at the CSTL, we expanded the database to include data from all known randomized controlled trials conducted in Covid-19 patients. This broad inclusion of all RCTs allowed the CORONA Project to identify promising  treatments early in the research process, before findings are confirmed by large-scale clinical trials. With this expanded dataset, which includes information on the size of the trial, primary endpoint, p-values, and effect sizes, we developed an algorithm to objectively review the published data to determine an aggregate estimate of effectiveness. By removing subjective analysis and interpretation, these grades and rankings are independent of external preferences and biases that may mislead patients and clinicians looking to determine the most effective treatments.

Updated algorithm

The updated STORM algorithm depends on several datapoints that are collected from published RCTs. The primary endpoint of each trial is evaluated to determine if the outcomes indicate that the treatment is beneficial or not. The p-values for each primary endpoint are aggregated by a formula to determine the likelihood that at least one trial has a significant result.

Updated viewer

Transparency and free access to data are core goals of the CORONA Project. As we updated and expanded our dataset, the public viewer was updated to accommodate the growing body of evidence. In addition to grades for each drug, the STORM viewer now allows a user to see all the extracted data from any published paper, which can be downloaded for further analysis. Grades have been expanded to include separate grades for prioritization for research, and clinical efficacy.





CORONA Insights and the CORONA Treatment Registry are for informational and exploratory purposes only and are not intended to be used as medical advice. This site is intended to facilitate the exploration of therapies mentioned in COVID-19 medical literature. Users assume full responsibility for use of the information on this site and understand and agree that the CDCN and its third party content providers are not responsible or liable for any claim, loss, or damage (including personal injury or wrongful death) resulting from its use. Reliance on any information provided by the CDCN or third party content providers is solely at your own risk. Our extractors do not assess the scientific merits of these results and conclusions. We disclaim any warranty concerning the accuracy, timelessness, and completeness of information on this site. This site also contains links to external sites. The CDCN is not responsible for the content and does not make any representations regarding their content, timeliness, or accuracy.

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