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Pharmacovigilance in perspective: drug withdrawals, data mining and policy implications

Considering that marketed drugs are not free from side effects, many countries have initiated pharmacovigilance programs. These initiatives have provided countries with methods of detection and prevention of adverse drug reactions at an earlier stage, thus preventing harm occurring in the larger pop...

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Detalles Bibliográficos
Autores principales: Alomar, Muaed, Palaian, Subish, Al-tabakha, Moawia M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: F1000 Research Limited 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7050268/
https://www.ncbi.nlm.nih.gov/pubmed/32161643
http://dx.doi.org/10.12688/f1000research.21402.1
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author Alomar, Muaed
Palaian, Subish
Al-tabakha, Moawia M.
author_facet Alomar, Muaed
Palaian, Subish
Al-tabakha, Moawia M.
author_sort Alomar, Muaed
collection PubMed
description Considering that marketed drugs are not free from side effects, many countries have initiated pharmacovigilance programs. These initiatives have provided countries with methods of detection and prevention of adverse drug reactions at an earlier stage, thus preventing harm occurring in the larger population. In this review, examples of drug withdrawals due to effective pharmacovigilance programs have been provided with details. In addition, information concerning data mining in pharmacovigilance, an effective method to assess pharmacoepidemiologic data and detecting signals for rare and uncommon side effects, is also examined, which is a method synchronized with information technology and advanced electronic tools. The importance of policy framework in relation to pharmacovigilance is discussed in detail, and country experiences upon implementation of pharmacovigilance policies is highlighted.
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spelling pubmed-70502682020-03-10 Pharmacovigilance in perspective: drug withdrawals, data mining and policy implications Alomar, Muaed Palaian, Subish Al-tabakha, Moawia M. F1000Res Review Considering that marketed drugs are not free from side effects, many countries have initiated pharmacovigilance programs. These initiatives have provided countries with methods of detection and prevention of adverse drug reactions at an earlier stage, thus preventing harm occurring in the larger population. In this review, examples of drug withdrawals due to effective pharmacovigilance programs have been provided with details. In addition, information concerning data mining in pharmacovigilance, an effective method to assess pharmacoepidemiologic data and detecting signals for rare and uncommon side effects, is also examined, which is a method synchronized with information technology and advanced electronic tools. The importance of policy framework in relation to pharmacovigilance is discussed in detail, and country experiences upon implementation of pharmacovigilance policies is highlighted. F1000 Research Limited 2019-12-16 /pmc/articles/PMC7050268/ /pubmed/32161643 http://dx.doi.org/10.12688/f1000research.21402.1 Text en Copyright: © 2019 Alomar M et al. http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution Licence, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Review
Alomar, Muaed
Palaian, Subish
Al-tabakha, Moawia M.
Pharmacovigilance in perspective: drug withdrawals, data mining and policy implications
title Pharmacovigilance in perspective: drug withdrawals, data mining and policy implications
title_full Pharmacovigilance in perspective: drug withdrawals, data mining and policy implications
title_fullStr Pharmacovigilance in perspective: drug withdrawals, data mining and policy implications
title_full_unstemmed Pharmacovigilance in perspective: drug withdrawals, data mining and policy implications
title_short Pharmacovigilance in perspective: drug withdrawals, data mining and policy implications
title_sort pharmacovigilance in perspective: drug withdrawals, data mining and policy implications
topic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7050268/
https://www.ncbi.nlm.nih.gov/pubmed/32161643
http://dx.doi.org/10.12688/f1000research.21402.1
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