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The National COVID Cancer Antibody Survey: a hyper-accelerated study proof of principle for cancer research
The COVID-19 pandemic has led to a range of novel and adaptive research designs. In this perspective, we use our experience coordinating the National COVID Cancer Antibody Survey to demonstrate how a balance between speed and integrity can be achieved within a hyper-accelerated study design. Using t...
Autores principales: | , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10118226/ https://www.ncbi.nlm.nih.gov/pubmed/37081188 http://dx.doi.org/10.1038/s41416-023-02251-9 |
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author | Fittall, Matthew Liu, Justin Platt, James Ionescu, Maria Sheehan, Remarez Johal, Sukhmunni Mew, Rosie Clark, James Watts, Izzy Tripathy, Arvind Little, Martin Patel, Grisma Panneerselvam, Hari Appanna, Nathan Burke, Emma McKenzie, Hayley Tilby, Michael Khan, Sam Lee, Lennard Y. W. |
author_facet | Fittall, Matthew Liu, Justin Platt, James Ionescu, Maria Sheehan, Remarez Johal, Sukhmunni Mew, Rosie Clark, James Watts, Izzy Tripathy, Arvind Little, Martin Patel, Grisma Panneerselvam, Hari Appanna, Nathan Burke, Emma McKenzie, Hayley Tilby, Michael Khan, Sam Lee, Lennard Y. W. |
author_sort | Fittall, Matthew |
collection | PubMed |
description | The COVID-19 pandemic has led to a range of novel and adaptive research designs. In this perspective, we use our experience coordinating the National COVID Cancer Antibody Survey to demonstrate how a balance between speed and integrity can be achieved within a hyper-accelerated study design. Using the COVID-19 pandemic as an example, we show this approach is necessary in the face of uncertain and evolving situations wherein reliable information is needed in a timely fashion to guide policy. We identify streamlined participant involvement, healthcare systems integration, data architecture and real-world real-time analytics as key areas that differentiate this design from traditional cancer trials, and enable rapid results. Caution needs to be taken to avoid the exclusion of patient subgroups without digital access or literacy. We summarise the merits and defining features of hyper-accelerated cancer studies. |
format | Online Article Text |
id | pubmed-10118226 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-101182262023-04-25 The National COVID Cancer Antibody Survey: a hyper-accelerated study proof of principle for cancer research Fittall, Matthew Liu, Justin Platt, James Ionescu, Maria Sheehan, Remarez Johal, Sukhmunni Mew, Rosie Clark, James Watts, Izzy Tripathy, Arvind Little, Martin Patel, Grisma Panneerselvam, Hari Appanna, Nathan Burke, Emma McKenzie, Hayley Tilby, Michael Khan, Sam Lee, Lennard Y. W. Br J Cancer Perspective The COVID-19 pandemic has led to a range of novel and adaptive research designs. In this perspective, we use our experience coordinating the National COVID Cancer Antibody Survey to demonstrate how a balance between speed and integrity can be achieved within a hyper-accelerated study design. Using the COVID-19 pandemic as an example, we show this approach is necessary in the face of uncertain and evolving situations wherein reliable information is needed in a timely fashion to guide policy. We identify streamlined participant involvement, healthcare systems integration, data architecture and real-world real-time analytics as key areas that differentiate this design from traditional cancer trials, and enable rapid results. Caution needs to be taken to avoid the exclusion of patient subgroups without digital access or literacy. We summarise the merits and defining features of hyper-accelerated cancer studies. Nature Publishing Group UK 2023-04-20 2023-06-15 /pmc/articles/PMC10118226/ /pubmed/37081188 http://dx.doi.org/10.1038/s41416-023-02251-9 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Perspective Fittall, Matthew Liu, Justin Platt, James Ionescu, Maria Sheehan, Remarez Johal, Sukhmunni Mew, Rosie Clark, James Watts, Izzy Tripathy, Arvind Little, Martin Patel, Grisma Panneerselvam, Hari Appanna, Nathan Burke, Emma McKenzie, Hayley Tilby, Michael Khan, Sam Lee, Lennard Y. W. The National COVID Cancer Antibody Survey: a hyper-accelerated study proof of principle for cancer research |
title | The National COVID Cancer Antibody Survey: a hyper-accelerated study proof of principle for cancer research |
title_full | The National COVID Cancer Antibody Survey: a hyper-accelerated study proof of principle for cancer research |
title_fullStr | The National COVID Cancer Antibody Survey: a hyper-accelerated study proof of principle for cancer research |
title_full_unstemmed | The National COVID Cancer Antibody Survey: a hyper-accelerated study proof of principle for cancer research |
title_short | The National COVID Cancer Antibody Survey: a hyper-accelerated study proof of principle for cancer research |
title_sort | national covid cancer antibody survey: a hyper-accelerated study proof of principle for cancer research |
topic | Perspective |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10118226/ https://www.ncbi.nlm.nih.gov/pubmed/37081188 http://dx.doi.org/10.1038/s41416-023-02251-9 |
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