MedDRA Labeling Groupings to Improve Safety Communication in Product Labels.

The granularity and structure of the International Council for Harmonisation's (ICH) Medical Dictionary for Regulatory Activities (MedDRA) are useful for precise coding of adverse events (AEs) for data analysis. In product labeling for healthcare practitioners, however, the granularity of MedDRA Preferred Terms (PTs) can obscure the communication of adverse reactions (ARs). Driven by a focus on patient safety, business needs, and regulatory guidance, many sponsors and regulators have begun to develop institution-specific approaches to clustering similar AR terms in medical product prescribing information on a product-by-product basis.

Development of an automated assessment tool for MedWatch reports in the FDA adverse event reporting system.

Objective: As the US Food and Drug Administration (FDA) receives over a million adverse event reports associated with medication use every year, a system is needed to aid FDA safety evaluators in identifying reports most likely to demonstrate causal relationships to the suspect medications. We combined text mining with machine learning to construct and evaluate such a system to identify medication-related adverse event reports.

Methods: FDA safety evaluators assessed 326 reports for medication-related causality.

Evaluation of Facebook and Twitter Monitoring to Detect Safety Signals for Medical Products: An Analysis of Recent FDA Safety Alerts.

Introduction: The rapid expansion of the Internet and computing power in recent years has opened up the possibility of using social media for pharmacovigilance. While this general concept has been proposed by many, central questions remain as to whether social media can provide earlier warnings for rare and serious events than traditional signal detection from spontaneous report data.

Objective: Our objective was to examine whether specific product-adverse event pairs were reported via social media before being reported to the US FDA Adverse Event Reporting System (FAERS).

Ensuring participant safety and trial integrity with clinical trials oversight.

Clinical trial oversight is a critical element that ensures the protection of research participants and integrity of the data collected. The trial sponsor, a local Institutional Review Board, and independent monitoring committees all contribute with complementary but overlapping responsibilities. Consistency among these groups is essential for the smooth conduct of a clinical trial but may be challenging in resource-limited settings (RLS).

Clinical and analytical considerations in the study of health status in device trials for heart failure.

Background: Measures of health status (including symptoms, functional status, or quality of life) assess patients' experiences of their disease, and may therefore be used to quantify the benefits and risks of treatment. The aim of this article is to provide recommendations to regulatory agencies and research sponsors regarding the use of health status measures in medical device trials.

Methods And Results: A workshop jointly planned by the Heart Failure Society of America and the US Food and Drug Administration was convened in October 2003 in Washington, DC.