Literature DB >> 25619173

A case study using the PrOACT-URL and BRAT frameworks for structured benefit risk assessment.

Richard Nixon1, Christoph Dierig2, Shahrul Mt-Isa3, Isabelle Stöckert2, Thaison Tong4, Silvia Kuhls2, Gemma Hodgson5, John Pears6, Ed Waddingham3, Kimberley Hockley3, Andrew Thomson7.   

Abstract

While benefit-risk assessment is a key component of the drug development and maintenance process, it is often described in a narrative. In contrast, structured benefit-risk assessment builds on established ideas from decision analysis and comprises a qualitative framework and quantitative methodology. We compare two such frameworks, applying multi-criteria decision-analysis (MCDA) within the PrOACT-URL framework and weighted net clinical benefit (wNCB), within the BRAT framework. These are applied to a case study of natalizumab for the treatment of relapsing remitting multiple sclerosis. We focus on the practical considerations of applying these methods and give recommendations for visual presentation of results. In the case study, we found structured benefit-risk analysis to be a useful tool for structuring, quantifying, and communicating the relative benefit and safety profiles of drugs in a transparent, rational and consistent way. The two frameworks were similar. MCDA is a generic and flexible methodology that can be used to perform a structured benefit-risk in any common context. wNCB is a special case of MCDA and is shown to be equivalent to an extension of the number needed to treat (NNT) principle. It is simpler to apply and understand than MCDA and can be applied when all outcomes are measured on a binary scale.
© 2015 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim.

Entities:  

Keywords:  BRAT; Benefit-risk; Multicriteria decision analysis; Net clinical benefit; PrOACT-URL; Regulatory decision making

Mesh:

Year:  2015        PMID: 25619173     DOI: 10.1002/bimj.201300248

Source DB:  PubMed          Journal:  Biom J        ISSN: 0323-3847            Impact factor:   2.207


  12 in total

Review 1.  A Note on the Validity and Reliability of Multi-Criteria Decision Analysis for the Benefit-Risk Assessment of Medicines.

Authors:  Alberto Garcia-Hernandez
Journal:  Drug Saf       Date:  2015-11       Impact factor: 5.606

Review 2.  Pharmaceutical Benefit-Risk Communication Tools: A Review of the Literature.

Authors:  Dominic Way; Hortense Blazsin; Ragnar Löfstedt; Frederic Bouder
Journal:  Drug Saf       Date:  2017-01       Impact factor: 5.606

3.  Implementation of AMNOG: An industry perspective.

Authors:  Friedhelm Leverkus; Christy Chuang-Stein
Journal:  Biom J       Date:  2015-09-01       Impact factor: 2.207

4.  Advancing regulatory science, advancing regulatory practice.

Authors:  Xavier Kurz
Journal:  Pharmacoepidemiol Drug Saf       Date:  2017-02-21       Impact factor: 2.890

5.  A novel measure of drug benefit-risk assessment based on Scale Loss Score.

Authors:  Gaelle Saint-Hilary; Veronique Robert; Mauro Gasparini; Thomas Jaki; Pavel Mozgunov
Journal:  Stat Methods Med Res       Date:  2018-07-20       Impact factor: 3.021

Review 6.  Benefit-risk evaluation: the past, present and future.

Authors:  Juhaeri Juhaeri
Journal:  Ther Adv Drug Saf       Date:  2019-08-26

7.  Lopinavir-Ritonavir in the Treatment of COVID-19: A Dynamic Systematic Benefit-Risk Assessment.

Authors:  Vicki Osborne; Miranda Davies; Samantha Lane; Alison Evans; Jacqueline Denyer; Sandeep Dhanda; Debabrata Roy; Saad Shakir
Journal:  Drug Saf       Date:  2020-08       Impact factor: 5.606

8.  A comparison of various aggregation functions in multi-criteria decision analysis for drug benefit-risk assessment.

Authors:  Tom Menzies; Gaelle Saint-Hilary; Pavel Mozgunov
Journal:  Stat Methods Med Res       Date:  2022-01-19       Impact factor: 3.021

9.  Remdesivir in Treatment of COVID-19: A Systematic Benefit-Risk Assessment.

Authors:  Miranda Davies; Vicki Osborne; Samantha Lane; Debabrata Roy; Sandeep Dhanda; Alison Evans; Saad Shakir
Journal:  Drug Saf       Date:  2020-07       Impact factor: 5.606

Review 10.  Benefit-Risk Assessment of Vaccines. Part I: A Systematic Review to Identify and Describe Studies About Quantitative Benefit-Risk Models Applied to Vaccines.

Authors:  Hugo Arlegui; Kaatje Bollaerts; Francesco Salvo; Vincent Bauchau; Gaëlle Nachbaur; Bernard Bégaud; Nicolas Praet
Journal:  Drug Saf       Date:  2020-11       Impact factor: 5.606

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.