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Characteristics analysis for clinical study design relating to COVID-19 based on the database of ClinicalTrials.gov
BACKGROUND AND OBJECTIVE: The novel coronavirus disease (COVID-19) outbreak is currently ravaging populations worldwide. Many studies were registered and conducted in rapid response to the epidemic, but how to choose the proper design for clinical trials remains the main concern. This study aimed to...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
The Author(s). Published by Elsevier Ltd on behalf of International Society for Infectious Diseases.
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8743275/ https://www.ncbi.nlm.nih.gov/pubmed/35017106 http://dx.doi.org/10.1016/j.ijid.2022.01.015 |
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author | Wu, Hanting Dai, Rongchen He, Peijie Liang, Juan Li, Qiushuang Yang, Junchao Lu, Hanti Guo, Qing Mao, Wei Ji, Conghua |
author_facet | Wu, Hanting Dai, Rongchen He, Peijie Liang, Juan Li, Qiushuang Yang, Junchao Lu, Hanti Guo, Qing Mao, Wei Ji, Conghua |
author_sort | Wu, Hanting |
collection | PubMed |
description | BACKGROUND AND OBJECTIVE: The novel coronavirus disease (COVID-19) outbreak is currently ravaging populations worldwide. Many studies were registered and conducted in rapid response to the epidemic, but how to choose the proper design for clinical trials remains the main concern. This study aimed to determine the fundamental characteristics of study design during the COVID-19 pandemic and provide references for other emerging infectious diseases. METHODS: We searched the database of ClinicalTrials.gov with the keyword “COVID-19” and compared the results with the design features of other conventional studies except for COVID-19. RESULTS: From January 1, 2020 to September 30, 2021, 55,334 trials were registered at ClinicalTrials.gov. Of all the registered trials, 6,408 were related to COVID-19 (11.58%). There were significant differences in the proportion of observational studies between COVID-19 (43.48%) and others (23.27%). The completion rate of observational trials and interventional trials in COVID-19 was 29.04% and 25.84%, respectively. COVID-19 trials showed a higher rate of completion than others (P<0.01). The time distribution and trend of observational studies and interventional studies varied considerably. CONCLUSION: Appropriately designed trials can help to improve research efficiency and reduce the possibility of research failure. In addition to randomized controlled trials, observational and single-armed studies are also worth considering. |
format | Online Article Text |
id | pubmed-8743275 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | The Author(s). Published by Elsevier Ltd on behalf of International Society for Infectious Diseases. |
record_format | MEDLINE/PubMed |
spelling | pubmed-87432752022-01-10 Characteristics analysis for clinical study design relating to COVID-19 based on the database of ClinicalTrials.gov Wu, Hanting Dai, Rongchen He, Peijie Liang, Juan Li, Qiushuang Yang, Junchao Lu, Hanti Guo, Qing Mao, Wei Ji, Conghua Int J Infect Dis Article BACKGROUND AND OBJECTIVE: The novel coronavirus disease (COVID-19) outbreak is currently ravaging populations worldwide. Many studies were registered and conducted in rapid response to the epidemic, but how to choose the proper design for clinical trials remains the main concern. This study aimed to determine the fundamental characteristics of study design during the COVID-19 pandemic and provide references for other emerging infectious diseases. METHODS: We searched the database of ClinicalTrials.gov with the keyword “COVID-19” and compared the results with the design features of other conventional studies except for COVID-19. RESULTS: From January 1, 2020 to September 30, 2021, 55,334 trials were registered at ClinicalTrials.gov. Of all the registered trials, 6,408 were related to COVID-19 (11.58%). There were significant differences in the proportion of observational studies between COVID-19 (43.48%) and others (23.27%). The completion rate of observational trials and interventional trials in COVID-19 was 29.04% and 25.84%, respectively. COVID-19 trials showed a higher rate of completion than others (P<0.01). The time distribution and trend of observational studies and interventional studies varied considerably. CONCLUSION: Appropriately designed trials can help to improve research efficiency and reduce the possibility of research failure. In addition to randomized controlled trials, observational and single-armed studies are also worth considering. The Author(s). Published by Elsevier Ltd on behalf of International Society for Infectious Diseases. 2022-03 2022-01-10 /pmc/articles/PMC8743275/ /pubmed/35017106 http://dx.doi.org/10.1016/j.ijid.2022.01.015 Text en © 2022 The Author(s) Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active. |
spellingShingle | Article Wu, Hanting Dai, Rongchen He, Peijie Liang, Juan Li, Qiushuang Yang, Junchao Lu, Hanti Guo, Qing Mao, Wei Ji, Conghua Characteristics analysis for clinical study design relating to COVID-19 based on the database of ClinicalTrials.gov |
title | Characteristics analysis for clinical study design relating to COVID-19 based on the database of ClinicalTrials.gov |
title_full | Characteristics analysis for clinical study design relating to COVID-19 based on the database of ClinicalTrials.gov |
title_fullStr | Characteristics analysis for clinical study design relating to COVID-19 based on the database of ClinicalTrials.gov |
title_full_unstemmed | Characteristics analysis for clinical study design relating to COVID-19 based on the database of ClinicalTrials.gov |
title_short | Characteristics analysis for clinical study design relating to COVID-19 based on the database of ClinicalTrials.gov |
title_sort | characteristics analysis for clinical study design relating to covid-19 based on the database of clinicaltrials.gov |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8743275/ https://www.ncbi.nlm.nih.gov/pubmed/35017106 http://dx.doi.org/10.1016/j.ijid.2022.01.015 |
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