regCOVID: Tracking publications of registered COVID-19 studies.
BMC Med Res Methodol
; 22(1): 221, 2022 08 10.
Article
in English
| MEDLINE | ID: covidwho-2098312
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 prioritized list of result publications.RESULTS:
The performed searchers resulted in 1 022 articles linked to 565 interventional trials (17.8% of all 3 167 COVID-19 interventional trials as of 31 January 2022). 609 publications were identified via abstract-link in PubMed and 413 via registry-link in ClinicalTrials.gov, with 27 articles linked from both sources. Of the 565 trials publishing at least one article, 197 (34.9%) had multiple linked publications. An attention score was assigned to each publication to develop a prioritized list of all publications linked to COVID-19 trials and 83 publications were identified that are result articles from late phase (Phase 3) trials with at least one US site and multiple study record updates. For COVID-19 vaccine trials, 108 linked result articles for 64 trials (14.7% of 436 total COVID-19 vaccine trials) were found.CONCLUSIONS:
Our method allows for the efficient identification of important COVID-19 articles that report results of registered clinical trials and are connected via a structured article-trial link. Our data science methodology also allows for consistent and as needed data updates and is generalizable to other conditions of interest.Keywords
Full text:
Available
Collection:
International databases
Database:
MEDLINE
Main subject:
Publications
/
COVID-19
Type of study:
Prognostic study
/
Randomized controlled trials
/
Reviews
Topics:
Vaccines
Limits:
Humans
Language:
English
Journal:
BMC Med Res Methodol
Journal subject:
Medicine
Year:
2022
Document Type:
Article
Affiliation country:
S12874-022-01703-9
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