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A curated and standardized adverse drug event resource to accelerate drug safety research.
Banda, Juan M; Evans, Lee; Vanguri, Rami S; Tatonetti, Nicholas P; Ryan, Patrick B; Shah, Nigam H.
Afiliação
  • Banda JM; Center for Biomedical Informatics Research, Stanford University, Stanford, California 94305, USA.
  • Evans L; LTS Computing LLC, West Chester, Pennsylvania 19380, USA.
  • Vanguri RS; Department of Biomedical Informatics, Columbia University, New York, New York 10032, USA.
  • Tatonetti NP; Department of Biomedical Informatics, Columbia University, New York, New York 10032, USA.
  • Ryan PB; Janssen Research &Development, LLC, Titusville, New Jersey 08869, USA.
  • Shah NH; Center for Biomedical Informatics Research, Stanford University, Stanford, California 94305, USA.
Sci Data ; 3: 160026, 2016 05 10.
Article em En | MEDLINE | ID: mdl-27193236
Identification of adverse drug reactions (ADRs) during the post-marketing phase is one of the most important goals of drug safety surveillance. Spontaneous reporting systems (SRS) data, which are the mainstay of traditional drug safety surveillance, are used for hypothesis generation and to validate the newer approaches. The publicly available US Food and Drug Administration (FDA) Adverse Event Reporting System (FAERS) data requires substantial curation before they can be used appropriately, and applying different strategies for data cleaning and normalization can have material impact on analysis results. We provide a curated and standardized version of FAERS removing duplicate case records, applying standardized vocabularies with drug names mapped to RxNorm concepts and outcomes mapped to SNOMED-CT concepts, and pre-computed summary statistics about drug-outcome relationships for general consumption. This publicly available resource, along with the source code, will accelerate drug safety research by reducing the amount of time spent performing data management on the source FAERS reports, improving the quality of the underlying data, and enabling standardized analyses using common vocabularies.
Assuntos

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Bases de Dados Factuais / Sistemas de Notificação de Reações Adversas a Medicamentos / Efeitos Colaterais e Reações Adversas Relacionados a Medicamentos Tipo de estudo: Prognostic_studies País como assunto: America do norte Idioma: En Ano de publicação: 2016 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Bases de Dados Factuais / Sistemas de Notificação de Reações Adversas a Medicamentos / Efeitos Colaterais e Reações Adversas Relacionados a Medicamentos Tipo de estudo: Prognostic_studies País como assunto: America do norte Idioma: En Ano de publicação: 2016 Tipo de documento: Article