Social media and internet search data to inform drug utilization: A systematic scoping review.

Introduction: Drug utilization is currently assessed through traditional data sources such as big electronic medical records (EMRs) databases, surveys, and medication sales. Social media and internet data have been reported to provide more accessible and more timely access to medications' utilization.

Objective: This review aims at providing evidence comparing web data on drug utilization to other sources before the COVID-19 pandemic.

Fingolimod versus interferon beta 1-a: Benefit-harm assessment approach based on TRANSFORMS individual patient data.

Background: Fingolimod is a disease-modifying drug approved for multiple sclerosis but its benefit-harm balance has never been assessed compared to other active treatments.

Objectives: Our aim was to compare the benefits and harms of fingolimod with interferon beta-1a using individual patient data from TRial Assessing injectable interferon versus FTY720 Oral in RRMS trial.

Methods: We modelled the health status of patients over time including Expanded Disability Status Scale measurements, relapses and any adverse events.

Benefit-harm balance of fingolimod in patients with MS: A modelling study based on FREEDOMS.

Background: Fingolimod lowers the number of relapses in multiple sclerosis (MS) patients and slows down disease progression, but causes a broad spectrum of side effects. Our aim was to estimate the benefit-harm balance of fingolimod using individual patient data from FREEDOMS, a randomized controlled trial that compared two different dosages of fingolimod to placebo.

Methods: We modelled the health status of patients over two years on a scale ranging from 0 (worst health or death) to 100 (maximum health).

Adverse Drug Reaction Risk Measures: A Comparison of Estimates from Drug Surveillance and Randomised Trials.

Background: Most drug regulatory agencies and pharmaceutical companies hold databases of spontaneous reports of suspected adverse drug reactions (ADRs). Detection systems for ADR signals have been created by specialists to analyse such reports, based on the concept of disproportionality, in order to support safety decision making. However, these measures are often misinterpreted by non-specialists in pharmacovigilance.