Literature DB >> 24821575

Balancing benefit and risk of medicines: a systematic review and classification of available methodologies.

Shahrul Mt-Isa1, Christine E Hallgreen, Nan Wang, Torbjörn Callréus, Georgy Genov, Ian Hirsch, Stephen F Hobbiger, Kimberley S Hockley, Davide Luciani, Lawrence D Phillips, George Quartey, Sinan B Sarac, Isabelle Stoeckert, Ioanna Tzoulaki, Alain Micaleff, Deborah Ashby.   

Abstract

BACKGROUND: The need for formal and structured approaches for benefit-risk assessment of medicines is increasing, as is the complexity of the scientific questions addressed before making decisions on the benefit-risk balance of medicines. We systematically collected, appraised and classified available benefit-risk methodologies to facilitate and inform their future use.
METHODS: A systematic review of publications identified benefit-risk assessment methodologies. Methodologies were appraised on their fundamental principles, features, graphical representations, assessability and accessibility. We created a taxonomy of methodologies to facilitate understanding and choice.
RESULTS: We identified 49 methodologies, critically appraised and classified them into four categories: frameworks, metrics, estimation techniques and utility survey techniques. Eight frameworks describe qualitative steps in benefit-risk assessment and eight quantify benefit-risk balance. Nine metric indices include threshold indices to measure either benefit or risk; health indices measure quality-of-life over time; and trade-off indices integrate benefits and risks. Six estimation techniques support benefit-risk modelling and evidence synthesis. Four utility survey techniques elicit robust value preferences from relevant stakeholders to the benefit-risk decisions.
CONCLUSIONS: Methodologies to help benefit-risk assessments of medicines are diverse and each is associated with different limitations and strengths. There is not a 'one-size-fits-all' method, and a combination of methods may be needed for each benefit-risk assessment. The taxonomy introduced herein may guide choice of adequate methodologies. Finally, we recommend 13 of 49 methodologies for further appraisal for use in the real-life benefit-risk assessment of medicines.
Copyright © 2014 John Wiley & Sons, Ltd.

Entities:  

Keywords:  benefit-risk; decision-making; framework; medicines; pharmacoepidemiology; qualitative; quantitative; review

Mesh:

Substances:

Year:  2014        PMID: 24821575     DOI: 10.1002/pds.3636

Source DB:  PubMed          Journal:  Pharmacoepidemiol Drug Saf        ISSN: 1053-8569            Impact factor:   2.890


  37 in total

1.  Perspectives on benefit-risk decision-making in vaccinology: Conference report.

Authors:  M Greenberg; F Simondon; M Saadatian-Elahi
Journal:  Hum Vaccin Immunother       Date:  2016       Impact factor: 3.452

Review 2.  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

3.  Mesh in POP surgery should be based on the risk of the procedure, not the risk of recurrence.

Authors:  Geoffrey W Cundiff
Journal:  Int Urogynecol J       Date:  2017-06-17       Impact factor: 2.894

4.  Beyond the Label: Steering the Focus Toward Safe and Effective Prescribing.

Authors:  Angela S Czaja; Alexander G Fiks; Richard C Wasserman; Robert J Valuck
Journal:  Pediatrics       Date:  2017-04-11       Impact factor: 7.124

5.  Bayesian credible subgroup identification for treatment effectiveness in time-to-event data.

Authors:  Duy Ngo; Richard Baumgartner; Shahrul Mt-Isa; Dai Feng; Jie Chen; Patrick Schnell
Journal:  PLoS One       Date:  2020-02-26       Impact factor: 3.240

6.  Periodic benefit-risk assessment using Bayesian stochastic multi-criteria acceptability analysis.

Authors:  Kan Li; Shuai Sammy Yuan; William Wang; Shuyan Sabrina Wan; Paulette Ceesay; Joseph F Heyse; Shahrul Mt-Isa; Sheng Luo
Journal:  Contemp Clin Trials       Date:  2018-03-02       Impact factor: 2.226

7.  A Bayesian approach for individual-level drug benefit-risk assessment.

Authors:  Kan Li; Sheng Luo; Sammy Yuan; Shahrul Mt-Isa
Journal:  Stat Med       Date:  2019-04-15       Impact factor: 2.373

Review 8.  Assessment of benefits and risks in development of targeted therapies for cancer--The view of regulatory authorities.

Authors:  Francesco Pignatti; Bertil Jonsson; Gideon Blumenthal; Robert Justice
Journal:  Mol Oncol       Date:  2014-10-16       Impact factor: 6.603

9.  Using a patient-centered approach to benefit-harm assessment in treatment decision-making: a case study in uveitis.

Authors:  Tsung Yu; Janet T Holbrook; Jennifer E Thorne; Milo A Puhan
Journal:  Pharmacoepidemiol Drug Saf       Date:  2016-01-22       Impact factor: 2.890

10.  Assessing the Benefit-Risk Profile for Pediatric Implantable Auditory Prostheses.

Authors:  Laurel M Fisher; Amy S Martinez; Frances J Richmond; Mark D Krieger; Eric P Wilkinson; Laurie S Eisenberg
Journal:  Ther Innov Regul Sci       Date:  2017-11-29       Impact factor: 1.778

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