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Reporting and design of randomized controlled trials for COVID-19: A systematic review.
- Source :
-
Contemporary clinical trials [Contemp Clin Trials] 2021 Feb; Vol. 101, pp. 106239. Date of Electronic Publication: 2020 Dec 03. - Publication Year :
- 2021
-
Abstract
- Background: The novel coronavirus 2019 (COVID-19) pandemic has mobilized global research at an unprecedented scale. While challenges associated with the COVID-19 trial landscape have been discussed previously, no comprehensive reviews have been conducted to assess the reporting, design, and data sharing practices of randomized controlled trials (RCTs).<br />Purpose: The purpose of this review was to gain insight into the current landscape of reporting, methodological design, and data sharing practices for COVID-19 RCTs.<br />Data Sources: We conducted three searches to identify registered clinical trials, peer-reviewed publications, and pre-print publications.<br />Study Selection: After screening eight major trial registries and 7844 records, we identified 178 registered trials and 38 publications describing 35 trials, including 25 peer-reviewed publications and 13 pre-prints.<br />Data Extraction: Trial ID, registry, location, population, intervention, control, study design, recruitment target, actual recruitment, outcomes, data sharing statement, and time of data sharing were extracted.<br />Data Synthesis: Of 178 registered trials, 112 (62.92%) were in hospital settings, median planned recruitment was 100 participants (IQR: 60, 168), and the majority (n = 166, 93.26%) did not report results in their respective registries. Of 35 published trials, 31 (88.57%) were in hospital settings, median actual recruitment was 86 participants (IQR: 55.5, 218), 10 (28.57%) did not reach recruitment targets, and 27 trials (77.14%) reported plans to share data.<br />Conclusions: The findings of our study highlight limitations in the design and reporting practices of COVID-19 RCTs and provide guidance towards more efficient reporting of trial results, greater diversity in patient settings, and more robust data sharing.<br /> (Copyright © 2020 Elsevier Inc. All rights reserved.)
- Subjects :
- Data Management organization & administration
Data Management standards
Humans
Quality Improvement
Research Design standards
Research Design statistics & numerical data
SARS-CoV-2
COVID-19 epidemiology
COVID-19 prevention & control
COVID-19 therapy
Randomized Controlled Trials as Topic methods
Randomized Controlled Trials as Topic standards
Randomized Controlled Trials as Topic statistics & numerical data
Subjects
Details
- Language :
- English
- ISSN :
- 1559-2030
- Volume :
- 101
- Database :
- MEDLINE
- Journal :
- Contemporary clinical trials
- Publication Type :
- Academic Journal
- Accession number :
- 33279656
- Full Text :
- https://doi.org/10.1016/j.cct.2020.106239