RegCOVID: Tracking publications of registered COVID-19 studies.

ABSTRACT:

Background

In response to the COVID-19 pandemic many clinical studies have been initiated leading to the need for efficient ways to track and analyze study results. We expanded our previous project that tracked registered COVID-19 clinical studies to also track result articles generated from these studies. Our objective was to develop a data science approach to identify and analyze all publications linked to COVID-19 clinical studies and generate a prioritized list of publications for efficient understanding of the state of COVID-19 clinical research.

Methods

We conducted searches of ClinicalTrials.gov and PubMed to identify articles linked to COVID-19 studies, and developed criteria based on the trial phase, intervention, location, and record recency to develop a prioritize

SUBMITTER: Mayer CS 

PROVIDER: S-EPMC9364859 | biostudies-literature | 2022 Aug

REPOSITORIES: biostudies-literature