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The world is waiting, use sequential analysis and get us the evidence-based treatment we need for COVID-19

In spite of the relatively high morbidity and mortality, there is no approved medication yet for COVID-19. There are more than 200 ongoing trials on different drugs or vaccines, but new medications may take until 2021 to develop. Defining the optimal number of patients to be included in a study is a...

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Autores principales: El Taguri, Adel, NASEF, Aisha
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Taylor & Francis 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7646536/
https://www.ncbi.nlm.nih.gov/pubmed/32459574
http://dx.doi.org/10.1080/19932820.2020.1770518
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author El Taguri, Adel
NASEF, Aisha
author_facet El Taguri, Adel
NASEF, Aisha
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description In spite of the relatively high morbidity and mortality, there is no approved medication yet for COVID-19. There are more than 200 ongoing trials on different drugs or vaccines, but new medications may take until 2021 to develop. Defining the optimal number of patients to be included in a study is a considerable challenge in these interventional researches. Ethical considerations prompt researchers to minimize the number of patients included in a trial. This gains particular importance when the disease is rare or lethal which is particularly so in the case of COVID-19. It is of paramount importance to explore some of the available tools that could help accelerate the adoption of any or some of the many proposed modalities for the treatment of diseases. These tools should be effective, yet efficient, for rapid testing of such treatments. Sequential analysis has not been frequently used in many clinical trials where it should have been used. None of the authors in published literature, as far as we know, used sequential analysis techniques to test potential drugs for COVID-19. In addition to its usefulness when the results of new forms of treatment are quickly needed, other important benefit of sequential analysis includes the ability to reach a similar conclusion about the utility of a new drug without unduly exposing more patients to the side effect of the old drug, in particularly, for the treatment of a rare disease.
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spelling pubmed-76465362020-11-17 The world is waiting, use sequential analysis and get us the evidence-based treatment we need for COVID-19 El Taguri, Adel NASEF, Aisha Libyan J Med Review Article In spite of the relatively high morbidity and mortality, there is no approved medication yet for COVID-19. There are more than 200 ongoing trials on different drugs or vaccines, but new medications may take until 2021 to develop. Defining the optimal number of patients to be included in a study is a considerable challenge in these interventional researches. Ethical considerations prompt researchers to minimize the number of patients included in a trial. This gains particular importance when the disease is rare or lethal which is particularly so in the case of COVID-19. It is of paramount importance to explore some of the available tools that could help accelerate the adoption of any or some of the many proposed modalities for the treatment of diseases. These tools should be effective, yet efficient, for rapid testing of such treatments. Sequential analysis has not been frequently used in many clinical trials where it should have been used. None of the authors in published literature, as far as we know, used sequential analysis techniques to test potential drugs for COVID-19. In addition to its usefulness when the results of new forms of treatment are quickly needed, other important benefit of sequential analysis includes the ability to reach a similar conclusion about the utility of a new drug without unduly exposing more patients to the side effect of the old drug, in particularly, for the treatment of a rare disease. Taylor & Francis 2020-05-27 /pmc/articles/PMC7646536/ /pubmed/32459574 http://dx.doi.org/10.1080/19932820.2020.1770518 Text en © 2020 The Author(s). published by informed UK Limited Taylor & Francis Group, LLC https://creativecommons.org/licenses/by-nc/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial License (http://creativecommons.org/licenses/by-nc/4.0/ (https://creativecommons.org/licenses/by-nc/4.0/) ), which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Review Article
El Taguri, Adel
NASEF, Aisha
The world is waiting, use sequential analysis and get us the evidence-based treatment we need for COVID-19
title The world is waiting, use sequential analysis and get us the evidence-based treatment we need for COVID-19
title_full The world is waiting, use sequential analysis and get us the evidence-based treatment we need for COVID-19
title_fullStr The world is waiting, use sequential analysis and get us the evidence-based treatment we need for COVID-19
title_full_unstemmed The world is waiting, use sequential analysis and get us the evidence-based treatment we need for COVID-19
title_short The world is waiting, use sequential analysis and get us the evidence-based treatment we need for COVID-19
title_sort world is waiting, use sequential analysis and get us the evidence-based treatment we need for covid-19
topic Review Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7646536/
https://www.ncbi.nlm.nih.gov/pubmed/32459574
http://dx.doi.org/10.1080/19932820.2020.1770518
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