Clinical Trial Drug Safety Assessment for Studies and Submissions Impacted by COVID-19
Autor: | Brenda J. Crowe, Seta Shahin, Melvin Munsaka, Mary E. Nilsson, Wei Wang, Greg Ball, Greg Anglin |
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Rok vydání: | 2020 |
Předmět: |
Statistics and Probability
Drug 2019-20 coronavirus outbreak medicine.medical_specialty Coronavirus disease 2019 (COVID-19) Special Issue on COVID-19 Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) media_common.quotation_subject Pharmaceutical Science medicine.disease_cause 01 natural sciences 010104 statistics & probability 03 medical and health sciences 0302 clinical medicine Pandemic Medicine 030212 general & internal medicine 0101 mathematics Safety analysis Intensive care medicine media_common Coronavirus Potential impact Harms business.industry COVID-19 Other Quantitative Biology (q-bio.OT) Quantitative Biology - Other Quantitative Biology Clinical trial Safety review FOS: Biological sciences business Research Article |
Zdroj: | Statistics in Biopharmaceutical Research article-version (VoR) Version of Record |
ISSN: | 1946-6315 |
DOI: | 10.1080/19466315.2020.1804444 |
Popis: | In this paper, we provide guidance on how standard safety analyses and reporting of clinical trial safety data may need to be modified, given the potential impact of the COVID-19 pandemic. The impact could include missed visits, alternative methods for assessments (such as virtual visits), alternative locations for assessments (such as local labs), and study drug interruptions. We focus on safety planning for Phase 2-4 clinical trials and integrated summaries for submissions. Starting from the recommended safety analyses proposed in white papers and a workshop, created as part of an FDA/PHUSE collaboration (PHUSE 2013, 2015, 2017, 2019), we assess what modifications might be needed. Impact from COVID-19 will likely affect treatment arms equally, so analyses of adverse events from controlled data can, to a large extent, remain unchanged. However, interpretation of summaries from uncontrolled data (summaries that include open-label extension data) will require even more caution than usual. Special consideration will be needed for safety topics of interest, especially events expected to have a higher incidence due to a COVID-19 infection or due to quarantine or travel restrictions (e.g., depression). Analyses of laboratory measurements may need to be modified to account for the combination of measurements from local and central laboratories. Comment: 21 pages, 0 figures, submitted to Statistics in Biopharmaceutical Research |
Databáze: | OpenAIRE |
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