Literature DB >> 27308948

Faster drug approval: challenges for safety.

Paolo Preziosi1.   

Abstract

INTRODUCTION: More rapid drug premarketing procedures pose a challenge for regulatory agencies in terms of innovation and improving real-world safety and effectiveness Areas covered: This review considers the blockbuster drugs used over the previous fifteen years with adverse reactions after marketing, the elements and time span of risk identification and the measures implemented or considered, based on the existing literature and reports from the agencies Expert opinion: Risk prediction is founded on several factors: randomization, sample size, a well-established endpoint for safety, use of a comparator rather than placebo and a longer Phase-III period, in which a serious illness may be identified by early signs of alteration in the primary parenchyma with the latest biochemical, instrumental and imaging techniques. In comparative non-inferiority evaluations, increased safety should be preferred, with the exception of drugs that may be useful in serious or life-threatening diseases for which there are few or no effective existing therapies. A period of restricted use may be required to test and dispense new drugs, as well as to implement specific methods for the early detection of adverse events. It is important not to regard a new medicine axiomatically as the best treatment before it comes into wide use.

Keywords:  Adverse drug reactions; GAIN; accelerated approval program; breakthrough drugs; clinical trial evaluation; drug regulatory measures; early warning of adverse events; expanded access program; named patient programs; priority review

Mesh:

Year:  2016        PMID: 27308948     DOI: 10.1080/14740338.2016.1194825

Source DB:  PubMed          Journal:  Expert Opin Drug Saf        ISSN: 1474-0338            Impact factor:   4.250


  2 in total

Review 1.  Identification of cellular targets involved in cardiac failure caused by PKI in oncology: an approach combining pharmacovigilance and pharmacodynamics.

Authors:  Emilie Patras de Campaigno; Emmanuelle Bondon-Guitton; Guy Laurent; Francois Montastruc; Jean-Louis Montastruc; Maryse Lapeyre-Mestre; Fabien Despas
Journal:  Br J Clin Pharmacol       Date:  2017-02-14       Impact factor: 4.335

Review 2.  Simulation Models for Prediction of Bioavailability of Medicinal Drugs-the Interface Between Experiment and Computation.

Authors:  Mahmoud E Soliman; Adeniyi T Adewumi; Oluwole B Akawa; Temitayo I Subair; Felix O Okunlola; Oluwayimika E Akinsuku; Shahzeb Khan
Journal:  AAPS PharmSciTech       Date:  2022-03-15       Impact factor: 3.246

  2 in total

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