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Pharmacoepidemiology and Drug Safety
Original Report

Recommendations for benefit–risk assessment methodologies and visual representations§

Diana Hughes

Worldwide Safety Strategy, Pfizer, New York, NY, USA

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Ed Waddingham

Corresponding Author

Imperial Clinical Trials Unit, Imperial College London, London, UK

indicates joint lead authors
Correspondence to: E. Waddingham, Imperial Clinical Trials Unit, Imperial College London, Stadium House, W12 7RH, London, UK. E‐mail:

e.waddingham@imperial.ac.uk

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Shahrul Mt‐Isa

Imperial Clinical Trials Unit, Imperial College London, London, UK

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Edmond Chan

Oncology Signal Detection and Analytics Physician Team Lead, Division of Janssen‐Cilag Ltd, Johnson & Johnson, Global Medical Organisation, High Wycombe, Buckinghamshire, UK

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Christine E. Hallgreen

Imperial Clinical Trials Unit, Imperial College London, London, UK

Faculty of Health and Medical Science, Department of Pharmacy, CORS, University of Copenhagen, Copenhagen, Denmark

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Kimberley S. Hockley

Imperial Clinical Trials Unit, Imperial College London, London, UK

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Juhaeri Juhaeri

Pharmacoepidemiology, Global Pharmacovigilance and Epidemiology, Sanofi, Bridgewater, NJ, USA

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Alfons Lieftucht

Benefit–Risk Evaluation, RD Chief Medical Office, GlaxoSmithKline UK Ltd, Uxbridge, UK

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Marilyn A. Metcalf

Benefit–Risk Evaluation, US Safety Mgmt, RD Chief Medical Office, GSK, NC, USA

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Rebecca A. Noel

Benefit–Risk Assessment, Eli Lilly and Company, Lilly Corporate Center, Indianapolis, IN, USA

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Lawrence D. Phillips

Department of Management, London School of Economics, London, UK

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Deborah Ashby

Imperial Clinical Trials Unit, Imperial College London, London, UK

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Alain Micaleff

MerckSerono SA, Geneva, Switzerland

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First published: 22 January 2016
Cited by: 10
§

This manuscript contains material previously published in reports on the IMI PROTECT website at http://www.imi‐protect.eu/benefitsRep.shtml and on the PROTECT BR website at http://protectbenefitrisk.eu/

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Abstract

Purpose

The purpose of this study is to draw on the practical experience from the PROTECT BR case studies and make recommendations regarding the application of a number of methodologies and visual representations for benefit–risk assessment.

Methods

Eight case studies based on the benefit–risk balance of real medicines were used to test various methodologies that had been identified from the literature as having potential applications in benefit–risk assessment. Recommendations were drawn up based on the results of the case studies.

Results

A general pathway through the case studies was evident, with various classes of methodologies having roles to play at different stages. Descriptive and quantitative frameworks were widely used throughout to structure problems, with other methods such as metrics, estimation techniques and elicitation techniques providing ways to incorporate technical or numerical data from various sources. Similarly, tree diagrams and effects tables were universally adopted, with other visualisations available to suit specific methodologies or tasks as required. Every assessment was found to follow five broad stages: (i) Planning, (ii) Evidence gathering and data preparation, (iii) Analysis, (iv) Exploration and (v) Conclusion and dissemination.

Conclusions

Adopting formal, structured approaches to benefit–risk assessment was feasible in real‐world problems and facilitated clear, transparent decision‐making. Prior to this work, no extensive practical application and appraisal of methodologies had been conducted using real‐world case examples, leaving users with limited knowledge of their usefulness in the real world. The practical guidance provided here takes us one step closer to a harmonised approach to benefit–risk assessment from multiple perspectives. Copyright © 2016 John Wiley & Sons, Ltd.

Number of times cited according to CrossRef: 10

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  • , The Potential Role of Individual-Level Benefit-Risk Assessment in Treatment Decision Making, Therapeutic Innovation & Regulatory Science, 10.1177/2168479018807448, (216847901880744), (2018).
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