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regCOVID: Tracking publications of registered COVID-19 studies.
Mayer, Craig S; Huser, Vojtech.
  • Mayer CS; Lister Hill National Center for Biomedical Communication, National Library of Medicine, NIH, Bethesda, MD, USA. craig.mayer2@nih.gov.
  • Huser V; Lister Hill National Center for Biomedical Communication, National Library of Medicine, NIH, Bethesda, MD, USA.
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.
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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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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