Literature DB >> 23331218

The practice of pre-marketing safety assessment in drug development.

Christy Chuang-Stein1, H Amy Xia.   

Abstract

The last 15 years have seen a substantial increase in efforts devoted to safety assessment by statisticians in the pharmaceutical industry. While some of these efforts were driven by regulations and public demand for safer products, much of the motivation came from the realization that there is a strong need for a systematic approach to safety planning, evaluation, and reporting at the program level throughout the drug development life cycle. An efficient process can help us identify safety signals early and afford us the opportunity to develop effective risk minimization plan early in the development cycle. This awareness has led many pharmaceutical sponsors to set up internal systems and structures to effectively conduct safety assessment at all levels (patient, study, and program). In addition to process, tools have emerged that are designed to enhance data review and pattern recognition. In this paper, we describe advancements in the practice of safety assessment during the premarketing phase of drug development. In particular, we share examples of safety assessment practice at our respective companies, some of which are based on recommendations from industry-initiated working groups on best practice in recent years.

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Year:  2013        PMID: 23331218     DOI: 10.1080/10543406.2013.736805

Source DB:  PubMed          Journal:  J Biopharm Stat        ISSN: 1054-3406            Impact factor:   1.051


  7 in total

1.  Reporting of clinical trial safety results in ClinicalTrials.gov for FDA-approved drugs: A cross-sectional analysis.

Authors:  Krista Y Chen; Erin M Borglund; Emma Charlotte Postema; Adam G Dunn; Florence T Bourgeois
Journal:  Clin Trials       Date:  2022-04-28       Impact factor: 2.599

2.  Visualising harms in publications of randomised controlled trials: consensus and recommendations.

Authors:  Rachel Phillips; Suzie Cro; Graham Wheeler; Simon Bond; Tim P Morris; Siobhan Creanor; Catherine Hewitt; Sharon Love; Andre Lopes; Iryna Schlackow; Carrol Gamble; Graeme MacLennan; Chris Habron; Anthony C Gordon; Nikhil Vergis; Tianjing Li; Riaz Qureshi; Colin C Everett; Jane Holmes; Amanda Kirkham; Clare Peckitt; Sarah Pirrie; Norin Ahmed; Laura Collett; Victoria Cornelius
Journal:  BMJ       Date:  2022-05-16

Review 3.  Statistical methods for the analysis of adverse event data in randomised controlled trials: a scoping review and taxonomy.

Authors:  Rachel Phillips; Odile Sauzet; Victoria Cornelius
Journal:  BMC Med Res Methodol       Date:  2020-11-30       Impact factor: 4.615

4.  Advantages of visualisations to evaluate and communicate adverse event information in randomised controlled trials.

Authors:  Victoria Cornelius; Suzie Cro; Rachel Phillips
Journal:  Trials       Date:  2020-12-22       Impact factor: 2.279

5.  The FDA's Final Rule on Expedited Safety Reporting: Statistical Considerations.

Authors:  Janet Wittes; Brenda Crowe; Christy Chuang-Stein; Achim Guettner; David Hall; Qi Jiang; Daniel Odenheimer; H Amy Xia; Judith Kramer
Journal:  Stat Biopharm Res       Date:  2015-10-09       Impact factor: 1.452

6.  Validation of Instruments for Assessing Drug Safety Management During the Conduction of Clinical Trials.

Authors:  Yaimarelis Saumell; Olga Torres; Maritza Batista; Lizet Sánchez
Journal:  Int J Health Policy Manag       Date:  2018-07-01

7.  Understanding current practice, identifying barriers and exploring priorities for adverse event analysis in randomised controlled trials: an online, cross-sectional survey of statisticians from academia and industry.

Authors:  Rachel Phillips; Victoria Cornelius
Journal:  BMJ Open       Date:  2020-06-11       Impact factor: 2.692

  7 in total

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