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Cluster adverse drug events (CADEs) are multiple ADEs with similar clinical manifestations involving the same drug, manufactured by the same company, that occur within a short time period. The disproportionality… Click to show full abstract
Cluster adverse drug events (CADEs) are multiple ADEs with similar clinical manifestations involving the same drug, manufactured by the same company, that occur within a short time period. The disproportionality filter algorithm (DFA) is a promising tool for the identification of historical clusters related to ADEs. The Chinese spontaneous adverse drug reaction reporting system (SRS) may serve as an important database for the detection of CADEs. The objective of this study was to evaluate the usefulness of DFA as an approach to identify CADEs using SRS.
Journal Title: Journal of Clinical Pharmacy and Therapeutics
Year Published: 2019
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