Literature DB >> 22197518

Multicriteria benefit-risk assessment using network meta-analysis.

Gert van Valkenhoef1, Tommi Tervonen, Jing Zhao, Bert de Brock, Hans L Hillege, Douwe Postmus.   

Abstract

OBJECTIVE: To enable multicriteria benefit-risk (BR) assessment of any number of alternative treatments using all available evidence from a network of clinical trials. STUDY DESIGN AND
SETTING: We design a general method for multicriteria decision aiding with criteria measurements from Mixed Treatment Comparison (MTC) analyses. To evaluate the method, we apply it to BR assessment of four second-generation antidepressants and placebo in the setting of a published peer-reviewed systematic review.
RESULTS: The analysis without preference information shows that placebo is supported by a wide range of possible preferences. Preference information provided by a clinical expert showed that although treatment with antidepressants is warranted for severely depressed patients, for mildly depressed patients placebo is likely to be the best option. It is difficult to choose between the four antidepressants, and the results of the model indicate a high degree of uncertainty.
CONCLUSIONS: The designed method enables quantitative BR analysis of alternative treatments using all available evidence from a network of clinical trials. The preference-free analysis can be useful in presenting the results of an MTC considering multiple outcomes. Copyright Â
© 2012 Elsevier Inc. All rights reserved.

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Year:  2011        PMID: 22197518     DOI: 10.1016/j.jclinepi.2011.09.005

Source DB:  PubMed          Journal:  J Clin Epidemiol        ISSN: 0895-4356            Impact factor:   6.437


  20 in total

1.  A multi-criteria decision analysis perspective on the health economic evaluation of medical interventions.

Authors:  Douwe Postmus; Tommi Tervonen; Gert van Valkenhoef; Hans L Hillege; Erik Buskens
Journal:  Eur J Health Econ       Date:  2013-07-11

2.  Appropriate evidence for adaptive marketing authorization.

Authors:  Jean Philippe de Jong; Diederick E Grobbee; Bruno Flamion; Susan R Forda; Hubert G M Leufkens
Journal:  Nat Rev Drug Discov       Date:  2013-09       Impact factor: 84.694

Review 3.  Integration of PKPD relationships into benefit-risk analysis.

Authors:  Francesco Bellanti; Rob C van Wijk; Meindert Danhof; Oscar Della Pasqua
Journal:  Br J Clin Pharmacol       Date:  2015-07-29       Impact factor: 4.335

4.  Personalizing Medical Treatment Decisions: Integrating Meta-analytic Treatment Comparisons with Patient-Specific Risks and Preferences.

Authors:  Christopher Weyant; Margaret L Brandeau; Sanjay Basu
Journal:  Med Decis Making       Date:  2019-11-09       Impact factor: 2.583

5.  Personalizing Second-Line Type 2 Diabetes Treatment Selection: Combining Network Meta-analysis, Individualized Risk, and Patient Preferences for Unified Decision Support.

Authors:  Sung Eun Choi; Seth A Berkowitz; John S Yudkin; Huseyin Naci; Sanjay Basu
Journal:  Med Decis Making       Date:  2019-02-15       Impact factor: 2.583

6.  Efficacy and safety of oral phosphodiesterase 5 inhibitors for erectile dysfunction: a network meta-analysis and multicriteria decision analysis.

Authors:  Camilla R Madeira; Fernanda S Tonin; Mariana M Fachi; Helena H Borba; Vinicius L Ferreira; Leticia P Leonart; Aline F Bonetti; Rogerio P Moritz; Angela C L B Trindade; Alan G Gonçalves; Fernando Fernandez-Llimos; Roberto Pontarolo
Journal:  World J Urol       Date:  2020-05-09       Impact factor: 4.226

Review 7.  Multicriteria decision analysis in oncology.

Authors:  Georges Adunlin; Vakaramoko Diaby; Alberto J Montero; Hong Xiao
Journal:  Health Expect       Date:  2014-03-17       Impact factor: 3.377

Review 8.  Assessing the value of healthcare interventions using multi-criteria decision analysis: a review of the literature.

Authors:  Kevin Marsh; Tereza Lanitis; David Neasham; Panagiotis Orfanos; Jaime Caro
Journal:  Pharmacoeconomics       Date:  2014-04       Impact factor: 4.981

9.  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

10.  Partial Personalization of Medical Treatment Decisions: Adverse Effects and Possible Solutions.

Authors:  Christopher Weyant; Margaret L Brandeau
Journal:  Med Decis Making       Date:  2021-05-22       Impact factor: 2.583

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