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Impact of the COVID-19 pandemic on the spontaneous reporting and signal detection of adverse drug events
External factors severely affecting in a short period of time the spontaneous reporting of adverse events (AEs) can significantly impact drug safety signal detection. Coronavirus disease 2019 (COVID-19) represented an enormous challenge for health systems, with over 767 million cases and massive vac...
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/PMC10620227/ https://www.ncbi.nlm.nih.gov/pubmed/37914862 http://dx.doi.org/10.1038/s41598-023-46275-w |
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author | Montes-Grajales, Diana Garcia-Serna, Ricard Mestres, Jordi |
author_facet | Montes-Grajales, Diana Garcia-Serna, Ricard Mestres, Jordi |
author_sort | Montes-Grajales, Diana |
collection | PubMed |
description | External factors severely affecting in a short period of time the spontaneous reporting of adverse events (AEs) can significantly impact drug safety signal detection. Coronavirus disease 2019 (COVID-19) represented an enormous challenge for health systems, with over 767 million cases and massive vaccination campaigns involving over 70% of the worldwide population. This study investigates the potential masking effect on certain AEs caused by the substantial increase in reports solely related to COVID-19 vaccines within various spontaneous reporting systems (SRSs). Three SRSs were used to monitor AEs reporting before and during the pandemic, namely, the World Health Organisation (WHO) global individual case safety reports database (VigiBase®), the United States Food and Drug Administration Adverse Event Reporting System (FAERS) and the Japanese Adverse Drug Event Report database (JADER). Findings revealed a sudden over-reporting of 35 AEs (≥ 200%) during the pandemic, with an increment of the RRF value in 2021 of at least double the RRF reported in 2020. This translates into a substantial reduction in signals of disproportionate reporting (SDR) due to the massive inclusion of COVID-19 vaccine reports. To mitigate the masking effect of COVID-19 vaccines in post-marketing SRS analyses, we recommend utilizing COVID-19-corrected versions for a more accurate assessment. |
format | Online Article Text |
id | pubmed-10620227 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-106202272023-11-03 Impact of the COVID-19 pandemic on the spontaneous reporting and signal detection of adverse drug events Montes-Grajales, Diana Garcia-Serna, Ricard Mestres, Jordi Sci Rep Article External factors severely affecting in a short period of time the spontaneous reporting of adverse events (AEs) can significantly impact drug safety signal detection. Coronavirus disease 2019 (COVID-19) represented an enormous challenge for health systems, with over 767 million cases and massive vaccination campaigns involving over 70% of the worldwide population. This study investigates the potential masking effect on certain AEs caused by the substantial increase in reports solely related to COVID-19 vaccines within various spontaneous reporting systems (SRSs). Three SRSs were used to monitor AEs reporting before and during the pandemic, namely, the World Health Organisation (WHO) global individual case safety reports database (VigiBase®), the United States Food and Drug Administration Adverse Event Reporting System (FAERS) and the Japanese Adverse Drug Event Report database (JADER). Findings revealed a sudden over-reporting of 35 AEs (≥ 200%) during the pandemic, with an increment of the RRF value in 2021 of at least double the RRF reported in 2020. This translates into a substantial reduction in signals of disproportionate reporting (SDR) due to the massive inclusion of COVID-19 vaccine reports. To mitigate the masking effect of COVID-19 vaccines in post-marketing SRS analyses, we recommend utilizing COVID-19-corrected versions for a more accurate assessment. Nature Publishing Group UK 2023-11-01 /pmc/articles/PMC10620227/ /pubmed/37914862 http://dx.doi.org/10.1038/s41598-023-46275-w 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 licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence 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 licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Montes-Grajales, Diana Garcia-Serna, Ricard Mestres, Jordi Impact of the COVID-19 pandemic on the spontaneous reporting and signal detection of adverse drug events |
title | Impact of the COVID-19 pandemic on the spontaneous reporting and signal detection of adverse drug events |
title_full | Impact of the COVID-19 pandemic on the spontaneous reporting and signal detection of adverse drug events |
title_fullStr | Impact of the COVID-19 pandemic on the spontaneous reporting and signal detection of adverse drug events |
title_full_unstemmed | Impact of the COVID-19 pandemic on the spontaneous reporting and signal detection of adverse drug events |
title_short | Impact of the COVID-19 pandemic on the spontaneous reporting and signal detection of adverse drug events |
title_sort | impact of the covid-19 pandemic on the spontaneous reporting and signal detection of adverse drug events |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10620227/ https://www.ncbi.nlm.nih.gov/pubmed/37914862 http://dx.doi.org/10.1038/s41598-023-46275-w |
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