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Discrepancies between FDA documents and ClinicalTrials.gov for Orphan Drug-related clinical trial data
Clinical trial registries such as ClinicalTrials.gov (CTG) hold large amounts of data regarding trials. Drugs for rare diseases are known as orphan drugs (ODs), and it is particularly important that trials for ODs are registered, and the data in the trial record are accurate. However, there may be d...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Public Library of Science
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10021800/ https://www.ncbi.nlm.nih.gov/pubmed/36962222 http://dx.doi.org/10.1371/journal.pgph.0000261 |
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author | Choudhury, Mohua Chakraborty Chakraborty, Indraneel Saberwal, Gayatri |
author_facet | Choudhury, Mohua Chakraborty Chakraborty, Indraneel Saberwal, Gayatri |
author_sort | Choudhury, Mohua Chakraborty |
collection | PubMed |
description | Clinical trial registries such as ClinicalTrials.gov (CTG) hold large amounts of data regarding trials. Drugs for rare diseases are known as orphan drugs (ODs), and it is particularly important that trials for ODs are registered, and the data in the trial record are accurate. However, there may be discrepancies between trial-related data that were the basis for the approval of a drug, as available from Food and Drug Administration (FDA) documents such as the Medical Review, and the data in CTG. We performed an audit of FDA-approved ODs, comparing trial-related data on phase, enrollment, and enrollment attribute (anticipated or actual) in such FDA documents and in CTG. The Medical Reviews of 63 ODs listed 422 trials. We used study identifiers in the Medical Reviews to find matches with the trial ID number, ‘Other ID’ or ‘Acronyms’ in CTG, and identified 202 trials that were registered with CTG. In comparing the phase data from the ‘Table of Clinical Studies’ of the Medical Review, with the data in CTG, there were exact matches in only 75% of the cases. The enrollment matched only in 70% of the cases, and the enrollment attribute in 91% of the cases. A similar trend was found for the sub-set of pivotal trials. Going forward, for all trials listed in a registry, it is important to provide the trial ID in the Medical Review. This will ensure that all trials that are the basis of a drug approval can be swiftly and unambiguously identified in CTG. Also, there continue to be discrepancies in trial data between FDA documents and CTG. Data in the trial records in CTG need to be updated when relevant. |
format | Online Article Text |
id | pubmed-10021800 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-100218002023-03-17 Discrepancies between FDA documents and ClinicalTrials.gov for Orphan Drug-related clinical trial data Choudhury, Mohua Chakraborty Chakraborty, Indraneel Saberwal, Gayatri PLOS Glob Public Health Research Article Clinical trial registries such as ClinicalTrials.gov (CTG) hold large amounts of data regarding trials. Drugs for rare diseases are known as orphan drugs (ODs), and it is particularly important that trials for ODs are registered, and the data in the trial record are accurate. However, there may be discrepancies between trial-related data that were the basis for the approval of a drug, as available from Food and Drug Administration (FDA) documents such as the Medical Review, and the data in CTG. We performed an audit of FDA-approved ODs, comparing trial-related data on phase, enrollment, and enrollment attribute (anticipated or actual) in such FDA documents and in CTG. The Medical Reviews of 63 ODs listed 422 trials. We used study identifiers in the Medical Reviews to find matches with the trial ID number, ‘Other ID’ or ‘Acronyms’ in CTG, and identified 202 trials that were registered with CTG. In comparing the phase data from the ‘Table of Clinical Studies’ of the Medical Review, with the data in CTG, there were exact matches in only 75% of the cases. The enrollment matched only in 70% of the cases, and the enrollment attribute in 91% of the cases. A similar trend was found for the sub-set of pivotal trials. Going forward, for all trials listed in a registry, it is important to provide the trial ID in the Medical Review. This will ensure that all trials that are the basis of a drug approval can be swiftly and unambiguously identified in CTG. Also, there continue to be discrepancies in trial data between FDA documents and CTG. Data in the trial records in CTG need to be updated when relevant. Public Library of Science 2022-04-22 /pmc/articles/PMC10021800/ /pubmed/36962222 http://dx.doi.org/10.1371/journal.pgph.0000261 Text en © 2022 Choudhury 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 | Research Article Choudhury, Mohua Chakraborty Chakraborty, Indraneel Saberwal, Gayatri Discrepancies between FDA documents and ClinicalTrials.gov for Orphan Drug-related clinical trial data |
title | Discrepancies between FDA documents and ClinicalTrials.gov for Orphan Drug-related clinical trial data |
title_full | Discrepancies between FDA documents and ClinicalTrials.gov for Orphan Drug-related clinical trial data |
title_fullStr | Discrepancies between FDA documents and ClinicalTrials.gov for Orphan Drug-related clinical trial data |
title_full_unstemmed | Discrepancies between FDA documents and ClinicalTrials.gov for Orphan Drug-related clinical trial data |
title_short | Discrepancies between FDA documents and ClinicalTrials.gov for Orphan Drug-related clinical trial data |
title_sort | discrepancies between fda documents and clinicaltrials.gov for orphan drug-related clinical trial data |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10021800/ https://www.ncbi.nlm.nih.gov/pubmed/36962222 http://dx.doi.org/10.1371/journal.pgph.0000261 |
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