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        Chapter Evolving Roles of Spontaneous Reporting Systems to Assess and Monitor Drug Safety

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        Author(s)
        Cosimo Antonazzo, Ippazio
        Salvo, Francesco
        Raschi, Emanuel
        Pariente, Antoine
        Moretti, Ugo
        Poluzzi, Elisabetta
        De Ponti, Fabrizio
        Language
        English
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        Abstract
        This chapter aims to describe current and emerging roles of spontaneous reporting systems (SRSs) for assessing and monitoring drug safety. Moreover, it offers a perspective on the near future, which entails the so-called era of Big Data, keeping in mind both regulator and researcher viewpoints. After a panorama on key data sources and analyses of post-marketing data of adverse drug reactions, a critical appraisal of methodological issues and debated future applications of SRSs will be presented, including the exploitation and challenges in evidence integration (i.e., merging and combining heterogeneous sources of data into a unique indicator of risk) and patient’s reporting via social media. Finally, a call for a responsible use of these studies is offered, with a proposal on a set of minimum requirements to assess the quality of disproportionality analysis in terms of study conception, performing and reporting.
        URI
        https://library.oapen.org/handle/20.500.12657/49320
        Keywords
        pharmacovigilance, signal, spontaneous reporting system, disproportionality analysis
        DOI
        10.5772/intechopen.79986
        Publisher
        InTechOpen
        Publisher website
        https://www.intechopen.com/
        Publication date and place
        2019
        Classification
        Public health and preventive medicine
        Rights
        https://creativecommons.org/licenses/by/3.0/
        • Imported or submitted locally

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        License

        • If not noted otherwise all contents are available under Attribution 4.0 International (CC BY 4.0)

        Credits

        • logo EU
        • This project received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement No 683680, 810640, 871069 and 964352.

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