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Core Outcome Set for Clinical Trials on Coronavirus Disease 2019 (COS-COVID)
Since its outbreak in December 2019, a series of clinical trials on coronavirus disease 2019 (COVID-19) have been registered or carried out. However, the significant heterogeneity and less critical outcomes of such trials may be leading to a waste of research resources. This study aimed to develop a...
Autores principales: | , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
THE AUTHORS. Published by Elsevier LTD on behalf of Chinese Academy of Engineering and Higher Education Press Limited Company.
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7102592/ https://www.ncbi.nlm.nih.gov/pubmed/32292626 http://dx.doi.org/10.1016/j.eng.2020.03.002 |
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author | Jin, Xinyao Pang, Bo Zhang, Junhua Liu, Qingquan Yang, Zhongqi Feng, Jihong Liu, Xuezheng Zhang, Lei Wang, Baohe Huang, Yuhong Josephine Fauci, Alice Ma, Yuling Soo Lee, Myeong Yuan, Wei'an Xie, Yanming Tang, Jianyuan Gao, Rui Du, Liang Zhang, Shuo Qi, Hanmei Sun, Yu Zheng, Wenke Yang, Fengwen Chua, Huizi Wang, Keyi Ou, Yi Huang, Ming Zhu, Yan Yu, Jiajie Tian, Jinhui Zhao, Min Hu, Jingqing Yao, Chen Li, Youping Zhang, Boli |
author_facet | Jin, Xinyao Pang, Bo Zhang, Junhua Liu, Qingquan Yang, Zhongqi Feng, Jihong Liu, Xuezheng Zhang, Lei Wang, Baohe Huang, Yuhong Josephine Fauci, Alice Ma, Yuling Soo Lee, Myeong Yuan, Wei'an Xie, Yanming Tang, Jianyuan Gao, Rui Du, Liang Zhang, Shuo Qi, Hanmei Sun, Yu Zheng, Wenke Yang, Fengwen Chua, Huizi Wang, Keyi Ou, Yi Huang, Ming Zhu, Yan Yu, Jiajie Tian, Jinhui Zhao, Min Hu, Jingqing Yao, Chen Li, Youping Zhang, Boli |
author_sort | Jin, Xinyao |
collection | PubMed |
description | Since its outbreak in December 2019, a series of clinical trials on coronavirus disease 2019 (COVID-19) have been registered or carried out. However, the significant heterogeneity and less critical outcomes of such trials may be leading to a waste of research resources. This study aimed to develop a core outcome set (COS) for clinical trials on COVID-19 in order to tackle the outcome issues. The study was conducted according to the Core Outcome Measures in Effectiveness Trials (COMET) Handbook: Version 1.0, a guideline for COS development. A research group was set up that included experts in respiratory and critical medicine, traditional Chinese medicine (TCM), evidence-based medicine, clinical pharmacology, and statistics, in addition to medical journal editors. Clinical trial registry websites (www.chictr.org.cn and clinicaltrials.gov) were searched to retrieve clinical trial protocols and outcomes in order to form an outcome pool. A total of 78 clinical trial protocols on COVID-19 were included and 259 outcomes were collected. After standardization, 132 outcomes were identified within seven different categories, of which 58 were selected to develop a preliminary outcome list for further consensus. After two rounds of Delphi survey and one consensus meeting, the most important outcomes for the different clinical classifications of COVID-19 were identified and determined to constitute the COS for clinical trials on COVID-19 (COS-COVID). The COS-COVID includes one outcome for the mild type (time to 2019 novel coronavirus (2019-nCoV) reverse transcription-polymerase chain reaction (RT-PCR) negativity), four outcomes for the ordinary type (length of hospital stay, composite events, score of clinical symptoms, and time to 2019-nCoV RT-PCR negativity), five outcomes for the severe type (composite events, length of hospital stay, arterial oxygen partial pressure (PaO(2))/fraction of inspired oxygen (FiO(2)), duration of mechanical ventilation, and time to 2019-nCoV RT-PCR negativity), one outcome for critical type (all-cause mortality), and one outcome for rehabilitation period (pulmonary function). The COS-COVID is currently the most valuable and practical clinical outcome set for the evaluation of intervention effect, and is useful for evidence assessment and decision-making. With a deepening understanding of COVID-19 and application feedback, the COS-COVID should be continuously updated. |
format | Online Article Text |
id | pubmed-7102592 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | THE AUTHORS. Published by Elsevier LTD on behalf of Chinese Academy of Engineering and Higher Education Press Limited Company. |
record_format | MEDLINE/PubMed |
spelling | pubmed-71025922020-03-31 Core Outcome Set for Clinical Trials on Coronavirus Disease 2019 (COS-COVID) Jin, Xinyao Pang, Bo Zhang, Junhua Liu, Qingquan Yang, Zhongqi Feng, Jihong Liu, Xuezheng Zhang, Lei Wang, Baohe Huang, Yuhong Josephine Fauci, Alice Ma, Yuling Soo Lee, Myeong Yuan, Wei'an Xie, Yanming Tang, Jianyuan Gao, Rui Du, Liang Zhang, Shuo Qi, Hanmei Sun, Yu Zheng, Wenke Yang, Fengwen Chua, Huizi Wang, Keyi Ou, Yi Huang, Ming Zhu, Yan Yu, Jiajie Tian, Jinhui Zhao, Min Hu, Jingqing Yao, Chen Li, Youping Zhang, Boli Engineering (Beijing) Research Coronavirus Disease 2019—Article Since its outbreak in December 2019, a series of clinical trials on coronavirus disease 2019 (COVID-19) have been registered or carried out. However, the significant heterogeneity and less critical outcomes of such trials may be leading to a waste of research resources. This study aimed to develop a core outcome set (COS) for clinical trials on COVID-19 in order to tackle the outcome issues. The study was conducted according to the Core Outcome Measures in Effectiveness Trials (COMET) Handbook: Version 1.0, a guideline for COS development. A research group was set up that included experts in respiratory and critical medicine, traditional Chinese medicine (TCM), evidence-based medicine, clinical pharmacology, and statistics, in addition to medical journal editors. Clinical trial registry websites (www.chictr.org.cn and clinicaltrials.gov) were searched to retrieve clinical trial protocols and outcomes in order to form an outcome pool. A total of 78 clinical trial protocols on COVID-19 were included and 259 outcomes were collected. After standardization, 132 outcomes were identified within seven different categories, of which 58 were selected to develop a preliminary outcome list for further consensus. After two rounds of Delphi survey and one consensus meeting, the most important outcomes for the different clinical classifications of COVID-19 were identified and determined to constitute the COS for clinical trials on COVID-19 (COS-COVID). The COS-COVID includes one outcome for the mild type (time to 2019 novel coronavirus (2019-nCoV) reverse transcription-polymerase chain reaction (RT-PCR) negativity), four outcomes for the ordinary type (length of hospital stay, composite events, score of clinical symptoms, and time to 2019-nCoV RT-PCR negativity), five outcomes for the severe type (composite events, length of hospital stay, arterial oxygen partial pressure (PaO(2))/fraction of inspired oxygen (FiO(2)), duration of mechanical ventilation, and time to 2019-nCoV RT-PCR negativity), one outcome for critical type (all-cause mortality), and one outcome for rehabilitation period (pulmonary function). The COS-COVID is currently the most valuable and practical clinical outcome set for the evaluation of intervention effect, and is useful for evidence assessment and decision-making. With a deepening understanding of COVID-19 and application feedback, the COS-COVID should be continuously updated. THE AUTHORS. Published by Elsevier LTD on behalf of Chinese Academy of Engineering and Higher Education Press Limited Company. 2020-10 2020-03-18 /pmc/articles/PMC7102592/ /pubmed/32292626 http://dx.doi.org/10.1016/j.eng.2020.03.002 Text en © 2020 THE AUTHORS 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 | Research Coronavirus Disease 2019—Article Jin, Xinyao Pang, Bo Zhang, Junhua Liu, Qingquan Yang, Zhongqi Feng, Jihong Liu, Xuezheng Zhang, Lei Wang, Baohe Huang, Yuhong Josephine Fauci, Alice Ma, Yuling Soo Lee, Myeong Yuan, Wei'an Xie, Yanming Tang, Jianyuan Gao, Rui Du, Liang Zhang, Shuo Qi, Hanmei Sun, Yu Zheng, Wenke Yang, Fengwen Chua, Huizi Wang, Keyi Ou, Yi Huang, Ming Zhu, Yan Yu, Jiajie Tian, Jinhui Zhao, Min Hu, Jingqing Yao, Chen Li, Youping Zhang, Boli Core Outcome Set for Clinical Trials on Coronavirus Disease 2019 (COS-COVID) |
title | Core Outcome Set for Clinical Trials on Coronavirus Disease 2019 (COS-COVID) |
title_full | Core Outcome Set for Clinical Trials on Coronavirus Disease 2019 (COS-COVID) |
title_fullStr | Core Outcome Set for Clinical Trials on Coronavirus Disease 2019 (COS-COVID) |
title_full_unstemmed | Core Outcome Set for Clinical Trials on Coronavirus Disease 2019 (COS-COVID) |
title_short | Core Outcome Set for Clinical Trials on Coronavirus Disease 2019 (COS-COVID) |
title_sort | core outcome set for clinical trials on coronavirus disease 2019 (cos-covid) |
topic | Research Coronavirus Disease 2019—Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7102592/ https://www.ncbi.nlm.nih.gov/pubmed/32292626 http://dx.doi.org/10.1016/j.eng.2020.03.002 |
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