Uppsala Reports Long Reads – Weeding out duplicates to better detect side effects
Description
Duplicate reports are a big problem when it comes to signal detection, but with the help of machine learning and new ways of comparing reports, we may more effectively detect them. This episode is part of the Uppsala Reports Long Reads series – the most topical stories from UMC’s pharmacovigilance news site, brought to you in audio format. Find the original article here.After the read, we speak to author Jim Barrett, Senior Data Scientist at UMC, to learn more about the duplicate detecti...
Medication-related-harm (MRH) is especially prevalent in older adults due to changing physiology as the body ages, increased frailty, and the incidence of polypharmacy in this patient group. Giovanni Furlan of Pfizer discusses what makes this patient group so vulnerable to adverse drug reactions,...
Published 10/25/24
Disproportionality analyses are a mainstay of pharmacovigilance research, but without clear guidelines, they often lead to confusion and misinterpretation. Enter the READUS-PV statement: the first-ever guide for reporting disproportionality analyses that are replicable, reliable, and...
Published 09/30/24