An Evaluation of ?Drug Ineffective? Postmarketing Reports in Drug Safety Surveillance [electronic resource]

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Tác giả:

Ngôn ngữ: eng

Ký hiệu phân loại: 615.78 Drugs affecting nervous system

Thông tin xuất bản: Washington, D.C. : Oak Ridge, Tenn. : United States. Dept. of Energy. Office of Science ; Distributed by the Office of Scientific and Technical Information, U.S. Dept. of Energy, 2018

Mô tả vật lý: Size: p. 91-99 : , digital, PDF file.

Bộ sưu tập: Metadata

ID: 260329

 Introduction The most commonly reported adverse event, based on frequency of Medical Dictionary for Regulatory Activities (MedDRA) preferred terms (PTs), in the US FDA Adverse Event Reporting System (FAERS) database is ??drug ineffective?? (DI). This study aimed to describe the DI reports and provide data to support recommendations on how to best evaluate these reports. Methods We characterized all FAERS reports coded with the MedDRA PT ??drug ineffective?? received between 1 September 2012 and 31 August 2016 using all other FAERS reports as a comparator. Additionally, we conducted a manual evaluation to identify informative data elements in the report narratives. Results During the study period, 247,513 (6.4% of all FAERS reports) DI reports were entered in FAERS. Compared with non-DI reports, DI reports were more likely to be reported by consumers (69.8 vs. 48.1%) and less likely to report a serious outcome (26.2 vs. 56.3%). Most DI reports (88%) were from the USA. Manual evaluation of 552 sample US reports identified 43 reports (7.8%) deemed ??useful??
  a higher proportion of ??useful?? reports provided a batch or lot number (39.5 vs. 17.2%) and were coded with additional PTs beyond ??drug ineffective?? (83.7 vs. 59.2%), the most frequent of which were ??product quality issue?? (23.3%) and ??product substitution issue?? (18.6%). Conclusions DI was the most frequently reported adverse event in the FAERS database
  however, the yield from these reports in terms of usefulness from a pharmacovigilance perspective was low. Efficient strategies are needed to identify which DI reports are more likely to contain useful information.
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