Literature DB >> 16387581

"Black box" 101: How the Food and Drug Administration evaluates, communicates, and manages drug benefit/risk.

Shirley Murphy1, Rosemary Roberts.   

Abstract

A prominently displayed boxed warning, the so-called "black box," is added to the labeling of drugs or drug products by the Food and Drug Administration when serious adverse reactions or special problems occur, particularly those that may lead to death or serious injury. Healthcare providers are often not knowledgeable about the origin, meaning, and implications of these "black box" warnings. In this review, our goal is to provide insight into how the Food and Drug Administration evaluates, communicates, and manages drug benefit/risk. We discuss drug labeling, the emphasis on safety throughout the drug approval process, legislative initiatives for safe use of drugs in children, and postmarketing safety surveillance. In addition, we encourage health care providers to report drug reactions to the Food and Drug Administration's MedWatch program. A discussion of new Food and Drug Administration initiatives to improve drug safety processes and methods to serve the public better are highlighted.

Entities:  

Mesh:

Year:  2006        PMID: 16387581     DOI: 10.1016/j.jaci.2005.10.031

Source DB:  PubMed          Journal:  J Allergy Clin Immunol        ISSN: 0091-6749            Impact factor:   10.793


  12 in total

1.  A decade of safety-related regulatory action in the Netherlands: a retrospective analysis of direct healthcare professional communications from 1999 to 2009.

Authors:  Peter G M Mol; Sabine M J M Straus; Sigrid Piening; Jonie T N de Vries; Pieter A de Graeff; Flora M Haaijer-Ruskamp
Journal:  Drug Saf       Date:  2010-06-01       Impact factor: 5.606

Review 2.  Pharmacovigilance during the pre-approval phases: an evolving pharmaceutical industry model in response to ICH E2E, CIOMS VI, FDA and EMEA/CHMP risk-management guidelines.

Authors:  Craig G Hartford; Kasia S Petchel; Hani Mickail; Susana Perez-Gutthann; Mary McHale; John M Grana; Paula Marquez
Journal:  Drug Saf       Date:  2006       Impact factor: 5.606

3.  Contraindication labelling changes in the United States and Germany.

Authors:  Edeltraut Garbe; Frank Andersohn
Journal:  Eur J Clin Pharmacol       Date:  2006-11-24       Impact factor: 2.953

4.  Risk management policy and black-box warnings: a qualitative analysis of US FDA proceedings.

Authors:  Daniel M Cook; Rama K Gurugubelli; Lisa A Bero
Journal:  Drug Saf       Date:  2009       Impact factor: 5.606

Review 5.  Impact of FDA drug risk communications on health care utilization and health behaviors: a systematic review.

Authors:  Stacie B Dusetzina; Ashley S Higashi; E Ray Dorsey; Rena Conti; Haiden A Huskamp; Shu Zhu; Craig F Garfield; G Caleb Alexander
Journal:  Med Care       Date:  2012-06       Impact factor: 2.983

6.  Responding to the clopidogrel warning by the US food and drug administration: real life is complicated.

Authors:  Dan M Roden; Alan R Shuldiner
Journal:  Circulation       Date:  2010-06-28       Impact factor: 29.690

Review 7.  A critical review of methods to evaluate the impact of FDA regulatory actions.

Authors:  Becky A Briesacher; Stephen B Soumerai; Fang Zhang; Sengwee Toh; Susan E Andrade; Joann L Wagner; Azadeh Shoaibi; Jerry H Gurwitz
Journal:  Pharmacoepidemiol Drug Saf       Date:  2013-07-12       Impact factor: 2.890

8.  Pharmacist and Pediatrician Knowledge of Codeine Use in Children.

Authors:  Ting He; Allison B Lardieri; Jill A Morgan
Journal:  J Pediatr Pharmacol Ther       Date:  2018 Jul-Aug

9.  Mining FDA drug labels using an unsupervised learning technique--topic modeling.

Authors:  Halil Bisgin; Zhichao Liu; Hong Fang; Xiaowei Xu; Weida Tong
Journal:  BMC Bioinformatics       Date:  2011-10-18       Impact factor: 3.169

10.  Mining FDA drug labels for medical conditions.

Authors:  Qi Li; Louise Deleger; Todd Lingren; Haijun Zhai; Megan Kaiser; Laura Stoutenborough; Anil G Jegga; Kevin Bretonnel Cohen; Imre Solti
Journal:  BMC Med Inform Decis Mak       Date:  2013-04-24       Impact factor: 2.796

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