AERS Spider: an Online Interactive Tool to Mine Statistical Associations in Adverse Event Reporting System

Overview

Journal Pharmacoepidemiol Drug Saf

Publisher Wiley

Specialties Pharmacology
Public Health

Date 2014 Mar 29

PMID 24677538

Citations 9

Authors

Igor Grigoriev

Wolfgang Zu Castell

Philipp Tsvetkov

Alexey V Antonov

Affiliations

Soon will be listed here.

Abstract

Background: Exploration of the Adverse Event Reporting System (AERS) data by a wide scientific community is limited due to several factors. First, AERS data must be intensively preprocessed to be converted into analyzable format. Second, application of the currently accepted disproportional reporting measures results in false positive signals.

Methods: We proposed a data mining strategy to improve hypothesis generation with respect to potential associations.

Results: By numerous examples, we illustrate that our strategy controls the false positive signals. We implemented a free online tool, AERS spider (www.chemoprofiling.org/AERS).

Conclusions: We believe that AERS spider would be a valuable tool for drug safety experts.

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