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Detection of Vaccine Adverse Events Before Package Insert Revisions Using a Japanese Spontaneous Reporting System. | LitMetric

AI Article Synopsis

  • The study examines the effectiveness of disproportionality analysis in the JADER database for identifying vaccine adverse events before updates to package inserts are made.
  • Researchers extracted data from the Pharmaceuticals and Medical Devices Agency to observe revisions of vaccine adverse event information from January 2013 to March 2023.
  • Results showed that 80% of identified adverse events were significant disproportionalities before the revisions and 60% of those were detected at least 12 months earlier, highlighting the potential of JADER for timely vaccine safety monitoring.

Article Abstract

The usefulness of disproportionality analysis for the pharmacovigilance of vaccines in the Japanese Adverse Drug Event Report (JADER) database is yet to be proven. This study aimed to verify whether significant disproportionality could be detected before adding new vaccine adverse event information to package inserts. Information on package insert revisions related to vaccine adverse drug events from January 2013 to March 2023 was extracted from the Pharmaceuticals and Medical Devices Agency website. This period was set as the maximum period for which early disproportionalities could be detected by the latest JADER database (April 2004 to December 2022). From JADER data, 15 revision histories (10 types of vaccines) of package inserts were identified, and 823,662 cases were obtained. Of the 15, 12 (80%) adverse events were identified as significant disproportionalities before package insert revisions were made. Nine of the 15 (60%) events were identified as significant disproportionalities earlier than at least 12 months. These findings suggest that the JADER database may detect vaccine adverse events earlier than package insert revisions, indicating its usefulness for the safety surveillance of vaccines.

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Source
http://dx.doi.org/10.1002/jcph.2243DOI Listing

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