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Research Collaboration and Outcome Measures of Interventional Clinical Trial Protocols for COVID-19 in China

Background: Research collaboration of registered clinical trials for Coronavirus Disease 2019 (COVID-19) remains unclear. This study aimed to analyze research collaboration and distribution of outcome measures in registered interventional clinical trials (ICTs) of COVID-19 conducted in China. Method...

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Autores principales: Gao, Ya, Yang, Kelu, Liu, Ming, Chen, Yamin, Shi, Shuzhen, Yang, Fengwen, Tian, Jinhui
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7492615/
https://www.ncbi.nlm.nih.gov/pubmed/32984256
http://dx.doi.org/10.3389/fpubh.2020.554247
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author Gao, Ya
Yang, Kelu
Liu, Ming
Chen, Yamin
Shi, Shuzhen
Yang, Fengwen
Tian, Jinhui
author_facet Gao, Ya
Yang, Kelu
Liu, Ming
Chen, Yamin
Shi, Shuzhen
Yang, Fengwen
Tian, Jinhui
author_sort Gao, Ya
collection PubMed
description Background: Research collaboration of registered clinical trials for Coronavirus Disease 2019 (COVID-19) remains unclear. This study aimed to analyze research collaboration and distribution of outcome measures in registered interventional clinical trials (ICTs) of COVID-19 conducted in China. Methods: The International Clinical Trials Registry Platform, China Clinical Trials Registry, and Clinicaltrials.gov were searched to obtain COVID-19-registered ICTs up to May 25, 2020. Excel 2016 was used to perform a descriptive statistical analysis of the extracted information. VOSviewer 1.6.14 software was used to generate network maps for provinces and institutions and create density maps for outcomes. Results: A total of 390 ICTs were included, and the number of daily registrations fluctuated greatly. From 29 provinces in China, 430 institutions contributed to the registration of ICTs. The top three productive provinces were Hubei (160/390, 41.03%), Shanghai (60/390, 15.38%), and Beijing (59/390, 15.13%). The top three productive institutions were Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology (30/390, 7.69%), Zhongnan Hospital of Wuhan University (18/390, 4.62%), and Wuhan Jinyintan Hospital (18/390, 4.62%). Collaborations between provinces and institutions were not close enough. There were many interventions, but many trials did not provide specific drugs and their dosage and treatment duration. The most frequently used primary outcome was Chest/lung CT (53/390, 13.59%), and the most frequently used secondary outcome was hospital stay (33/390, 8.46%). There was a large difference in the number of outcomes, the expression of some outcomes was not standardized, the measurement time and tools for some outcomes were not clear, and there was a lack of special outcomes for trials of traditional Chinese medicine. Conclusions: Although there were some collaborations between provinces and institutions of the current COVID-19 ICT protocols in China, cooperation between regions should be further strengthened. The identified deficiencies in interventions and outcome measures should be given more attention by future researchers of COVID-19.
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spelling pubmed-74926152020-09-25 Research Collaboration and Outcome Measures of Interventional Clinical Trial Protocols for COVID-19 in China Gao, Ya Yang, Kelu Liu, Ming Chen, Yamin Shi, Shuzhen Yang, Fengwen Tian, Jinhui Front Public Health Public Health Background: Research collaboration of registered clinical trials for Coronavirus Disease 2019 (COVID-19) remains unclear. This study aimed to analyze research collaboration and distribution of outcome measures in registered interventional clinical trials (ICTs) of COVID-19 conducted in China. Methods: The International Clinical Trials Registry Platform, China Clinical Trials Registry, and Clinicaltrials.gov were searched to obtain COVID-19-registered ICTs up to May 25, 2020. Excel 2016 was used to perform a descriptive statistical analysis of the extracted information. VOSviewer 1.6.14 software was used to generate network maps for provinces and institutions and create density maps for outcomes. Results: A total of 390 ICTs were included, and the number of daily registrations fluctuated greatly. From 29 provinces in China, 430 institutions contributed to the registration of ICTs. The top three productive provinces were Hubei (160/390, 41.03%), Shanghai (60/390, 15.38%), and Beijing (59/390, 15.13%). The top three productive institutions were Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology (30/390, 7.69%), Zhongnan Hospital of Wuhan University (18/390, 4.62%), and Wuhan Jinyintan Hospital (18/390, 4.62%). Collaborations between provinces and institutions were not close enough. There were many interventions, but many trials did not provide specific drugs and their dosage and treatment duration. The most frequently used primary outcome was Chest/lung CT (53/390, 13.59%), and the most frequently used secondary outcome was hospital stay (33/390, 8.46%). There was a large difference in the number of outcomes, the expression of some outcomes was not standardized, the measurement time and tools for some outcomes were not clear, and there was a lack of special outcomes for trials of traditional Chinese medicine. Conclusions: Although there were some collaborations between provinces and institutions of the current COVID-19 ICT protocols in China, cooperation between regions should be further strengthened. The identified deficiencies in interventions and outcome measures should be given more attention by future researchers of COVID-19. Frontiers Media S.A. 2020-09-02 /pmc/articles/PMC7492615/ /pubmed/32984256 http://dx.doi.org/10.3389/fpubh.2020.554247 Text en Copyright © 2020 Gao, Yang, Liu, Chen, Shi, Yang and Tian. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Public Health
Gao, Ya
Yang, Kelu
Liu, Ming
Chen, Yamin
Shi, Shuzhen
Yang, Fengwen
Tian, Jinhui
Research Collaboration and Outcome Measures of Interventional Clinical Trial Protocols for COVID-19 in China
title Research Collaboration and Outcome Measures of Interventional Clinical Trial Protocols for COVID-19 in China
title_full Research Collaboration and Outcome Measures of Interventional Clinical Trial Protocols for COVID-19 in China
title_fullStr Research Collaboration and Outcome Measures of Interventional Clinical Trial Protocols for COVID-19 in China
title_full_unstemmed Research Collaboration and Outcome Measures of Interventional Clinical Trial Protocols for COVID-19 in China
title_short Research Collaboration and Outcome Measures of Interventional Clinical Trial Protocols for COVID-19 in China
title_sort research collaboration and outcome measures of interventional clinical trial protocols for covid-19 in china
topic Public Health
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7492615/
https://www.ncbi.nlm.nih.gov/pubmed/32984256
http://dx.doi.org/10.3389/fpubh.2020.554247
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