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An open-source system for efficient clinical trial support: The COMET study experience
Exercise clinical trials are complex, logistically burdensome, and require a well-coordinated multi-disciplinary approach. Challenges include managing, curating, and reporting on many disparate information sources, while remaining responsive to a variety of stakeholders. The Combined Exercise Trial...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Public Library of Science
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10681164/ https://www.ncbi.nlm.nih.gov/pubmed/38011138 http://dx.doi.org/10.1371/journal.pone.0293874 |
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author | Clutton, Jonathan Montgomery, Robert Neal Mudaranthakam, Dinesh Pal Blocker, Erin M. Shaw, Ashley R. Szabo Reed, Amanda N. Vidoni, Eric D. |
author_facet | Clutton, Jonathan Montgomery, Robert Neal Mudaranthakam, Dinesh Pal Blocker, Erin M. Shaw, Ashley R. Szabo Reed, Amanda N. Vidoni, Eric D. |
author_sort | Clutton, Jonathan |
collection | PubMed |
description | Exercise clinical trials are complex, logistically burdensome, and require a well-coordinated multi-disciplinary approach. Challenges include managing, curating, and reporting on many disparate information sources, while remaining responsive to a variety of stakeholders. The Combined Exercise Trial (COMET, NCT04848038) is a one-year comparison of three exercise modalities delivered in the community. Target enrollment is 280 individuals over 4 years. To support rigorous execution of COMET, the study team has developed a suite of scripts and dashboards to assist study stakeholders in each of their various functions. The result is a highly automated study system that preserves rigor, increases communication, and reduces staff burden. This manuscript describes system considerations and the COMET approach to data management and use, with a goal of encouraging further development and adaptation by other study teams in various fields. |
format | Online Article Text |
id | pubmed-10681164 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-106811642023-11-27 An open-source system for efficient clinical trial support: The COMET study experience Clutton, Jonathan Montgomery, Robert Neal Mudaranthakam, Dinesh Pal Blocker, Erin M. Shaw, Ashley R. Szabo Reed, Amanda N. Vidoni, Eric D. PLoS One Lab Protocol Exercise clinical trials are complex, logistically burdensome, and require a well-coordinated multi-disciplinary approach. Challenges include managing, curating, and reporting on many disparate information sources, while remaining responsive to a variety of stakeholders. The Combined Exercise Trial (COMET, NCT04848038) is a one-year comparison of three exercise modalities delivered in the community. Target enrollment is 280 individuals over 4 years. To support rigorous execution of COMET, the study team has developed a suite of scripts and dashboards to assist study stakeholders in each of their various functions. The result is a highly automated study system that preserves rigor, increases communication, and reduces staff burden. This manuscript describes system considerations and the COMET approach to data management and use, with a goal of encouraging further development and adaptation by other study teams in various fields. Public Library of Science 2023-11-27 /pmc/articles/PMC10681164/ /pubmed/38011138 http://dx.doi.org/10.1371/journal.pone.0293874 Text en © 2023 Clutton et al https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Lab Protocol Clutton, Jonathan Montgomery, Robert Neal Mudaranthakam, Dinesh Pal Blocker, Erin M. Shaw, Ashley R. Szabo Reed, Amanda N. Vidoni, Eric D. An open-source system for efficient clinical trial support: The COMET study experience |
title | An open-source system for efficient clinical trial support: The COMET study experience |
title_full | An open-source system for efficient clinical trial support: The COMET study experience |
title_fullStr | An open-source system for efficient clinical trial support: The COMET study experience |
title_full_unstemmed | An open-source system for efficient clinical trial support: The COMET study experience |
title_short | An open-source system for efficient clinical trial support: The COMET study experience |
title_sort | open-source system for efficient clinical trial support: the comet study experience |
topic | Lab Protocol |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10681164/ https://www.ncbi.nlm.nih.gov/pubmed/38011138 http://dx.doi.org/10.1371/journal.pone.0293874 |
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