Literature DB >> 11802586

The role of databases in drug postmarketing surveillance.

E M Rodriguez1, J A Staffa, D J Graham.   

Abstract

This paper describes the role of databases used for postmarketing surveillance of drugs at the United States Food and Drug Administration (FDA). First we describe the Adverse Event Reporting System (AERS), the largest database of adverse event reports in the world. Next, we explain the methods we have used for assembling these adverse event reports into a case series and analysing them, as well as techniques for employing drug use databases to construct reporting rates in the evaluation of drug safety issues. Finally, we discuss the FDA's use of the databases it accesses through its Cooperative Agreement Program to conduct high priority studies to support regulatory decision-making.

Mesh:

Year:  2001        PMID: 11802586     DOI: 10.1002/pds.615

Source DB:  PubMed          Journal:  Pharmacoepidemiol Drug Saf        ISSN: 1053-8569            Impact factor:   2.890


  20 in total

1.  Gaps in the evaluation and monitoring of new pharmaceuticals: proposal for a different approach.

Authors:  Andreas Laupacis; J Michael Paterson; Muhammad Mamdani; Alaa Rostom; Geoffrey M Anderson
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Review 2.  Developments in post-marketing comparative effectiveness research.

Authors:  S Schneeweiss
Journal:  Clin Pharmacol Ther       Date:  2007-06-06       Impact factor: 6.875

3.  Drug-versus-drug adverse event rate comparisons: a pilot study based on data from the US FDA Adverse Event Reporting System.

Authors:  Alan M Hochberg; Ronald K Pearson; Donald J O'Hara; Stephanie J Reisinger
Journal:  Drug Saf       Date:  2009       Impact factor: 5.606

Review 4.  Assessing QT interval prolongation and its associated risks with antipsychotics.

Authors:  Jimmi Nielsen; Claus Graff; Jørgen K Kanters; Egon Toft; David Taylor; Jonathan M Meyer
Journal:  CNS Drugs       Date:  2011-06-01       Impact factor: 5.749

5.  Reply to Hardalo et al., "Myelosuppression with Oxazolidinones: Are There Differences?"

Authors:  Aisling R Caffrey; Erica Yookyung Lee
Journal:  Antimicrob Agents Chemother       Date:  2018-12-21       Impact factor: 5.191

6.  Mining Drugs and Indications for Suicide-Related Adverse Events.

Authors:  Tiffany Ding; Elizabeth S Chen
Journal:  AMIA Annu Symp Proc       Date:  2020-03-04

7.  Detection of pharmacovigilance-related adverse events using electronic health records and automated methods.

Authors:  K Haerian; D Varn; S Vaidya; L Ena; H S Chase; C Friedman
Journal:  Clin Pharmacol Ther       Date:  2012-06-20       Impact factor: 6.875

8.  Gabapentin drug misuse signals: A pharmacovigilance assessment using the FDA adverse event reporting system.

Authors:  Rachel Vickers-Smith; Jiangwen Sun; Richard J Charnigo; Michelle R Lofwall; Sharon L Walsh; Jennifer R Havens
Journal:  Drug Alcohol Depend       Date:  2019-11-02       Impact factor: 4.492

9.  Association of statin use with sleep disturbances: data mining of a spontaneous reporting database and a prescription database.

Authors:  Mitsutaka Takada; Mai Fujimoto; Kohei Yamazaki; Masashi Takamoto; Kouichi Hosomi
Journal:  Drug Saf       Date:  2014-06       Impact factor: 5.606

10.  Near real-time adverse drug reaction surveillance within population-based health networks: methodology considerations for data accrual.

Authors:  Taliser R Avery; Martin Kulldorff; Yury Vilk; Lingling Li; T Craig Cheetham; Sascha Dublin; Robert L Davis; Liyan Liu; Lisa Herrinton; Jeffrey S Brown
Journal:  Pharmacoepidemiol Drug Saf       Date:  2013-02-12       Impact factor: 2.890

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