The reporting of disproportionality analysis in pharmacovigilance: spotlight on the READUS-PV guideline.

Disproportionality analyses are the most-commonly used study design used in the post-marketing phase to detect suspected adverse drug reactions in individual case safety reports. Recent years have witnessed an exponential increase in published articles on disproportionality analyses, thanks to publicly accessible databases. Unfortunately, this trend was accompanied by concerns on lack of transparency and misinterpretation of results, both generating unjustified alarm and diluting true signals into overwhelming noise.

Early Detection of Hearing Impairment Signals Post-mRNA COVID-19 Vaccination: A Disproportionality Analysis Study on French Pharmacovigilance Database.

Introduction: Improving adverse events following immunisation (AEFI) detection is vital for vaccine safety surveillance, as an early safety signal can help minimize risks. In February 2022, the World Health Organization reported a preliminary signal on sudden sensorineural hearing loss (SSNHL) following coronavirus disease 2019 (COVID-19) vaccination, 54 million persons in France received at least one dose, covering 78.8% of the population within a year.

The enhanced national pharmacovigilance system implemented for COVID-19 vaccines in France: A 2-year experience report.

In March 2020, World Health Organization recognized severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) emergence as a public health emergency of international concern. One of the major preventative measures developed against coronavirus disease 2019 (COVID-19) was vaccines. To monitor their use and safety of vaccines from the first utilization in humans during clinical development phases to implementation for the general population, an enhanced national pharmacovigilance system was enabled by the French National Agency for Medicines and Health Products Safety in collaboration with the 30 Regional Pharmacovigilance Centres.

Monitoring bay-scale ecosystem changes in bivalve aquaculture embayments using flow cytometry.

Bay-scale empirical evaluations of how bivalve aquaculture alters plankton composition, and subsequently ecological functioning and higher trophic levels, are lacking. Temporal, inter- and within-bay variation in hydrodynamic, environmental, and aquaculture pressure complicate plankton monitoring design to detect bay-scale changes and inform aquaculture ecosystem interactions. Here, we used flow cytometry to investigate spatio-temporal variations in bacteria and phytoplankton (< 20 μm) composition in four bivalve aquaculture embayments.