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Factors associated with clinical trials that fail and opportunities for improving the likelihood of success: A review
Clinical trials are time consuming, expensive, and often burdensome on patients. Clinical trials can fail for many reasons. This survey reviews many of these reasons and offers insights on opportunities for improving the likelihood of creating and executing successful clinical trials. Literature fro...
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6092479/ https://www.ncbi.nlm.nih.gov/pubmed/30112460 http://dx.doi.org/10.1016/j.conctc.2018.08.001 |
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author | Fogel, David B. |
author_facet | Fogel, David B. |
author_sort | Fogel, David B. |
collection | PubMed |
description | Clinical trials are time consuming, expensive, and often burdensome on patients. Clinical trials can fail for many reasons. This survey reviews many of these reasons and offers insights on opportunities for improving the likelihood of creating and executing successful clinical trials. Literature from the past 30 years was reviewed for relevant data. Common patterns in reported successful trials are identified, including factors regarding the study site, study coordinator/investigator, and the effects on participating patients. Specific instances where artificial intelligence can help improve clinical trials are identified. |
format | Online Article Text |
id | pubmed-6092479 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-60924792018-08-15 Factors associated with clinical trials that fail and opportunities for improving the likelihood of success: A review Fogel, David B. Contemp Clin Trials Commun Article Clinical trials are time consuming, expensive, and often burdensome on patients. Clinical trials can fail for many reasons. This survey reviews many of these reasons and offers insights on opportunities for improving the likelihood of creating and executing successful clinical trials. Literature from the past 30 years was reviewed for relevant data. Common patterns in reported successful trials are identified, including factors regarding the study site, study coordinator/investigator, and the effects on participating patients. Specific instances where artificial intelligence can help improve clinical trials are identified. Elsevier 2018-08-07 /pmc/articles/PMC6092479/ /pubmed/30112460 http://dx.doi.org/10.1016/j.conctc.2018.08.001 Text en © 2018 The Author http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). |
spellingShingle | Article Fogel, David B. Factors associated with clinical trials that fail and opportunities for improving the likelihood of success: A review |
title | Factors associated with clinical trials that fail and opportunities for improving the likelihood of success: A review |
title_full | Factors associated with clinical trials that fail and opportunities for improving the likelihood of success: A review |
title_fullStr | Factors associated with clinical trials that fail and opportunities for improving the likelihood of success: A review |
title_full_unstemmed | Factors associated with clinical trials that fail and opportunities for improving the likelihood of success: A review |
title_short | Factors associated with clinical trials that fail and opportunities for improving the likelihood of success: A review |
title_sort | factors associated with clinical trials that fail and opportunities for improving the likelihood of success: a review |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6092479/ https://www.ncbi.nlm.nih.gov/pubmed/30112460 http://dx.doi.org/10.1016/j.conctc.2018.08.001 |
work_keys_str_mv | AT fogeldavidb factorsassociatedwithclinicaltrialsthatfailandopportunitiesforimprovingthelikelihoodofsuccessareview |