Literature DB >> 23110837

Contribution of modeling approaches and virtual populations in transposing the results of clinical trials into real life and in enlightening public health decisions.

François Gueyffier1, Catherine Brun Strang, Gilles Berdeaux, Lionel Riou França, Patrick Blin, Jacques Massol.   

Abstract

Modeling consists in aggregating separate pieces of knowledge, according to a given structure and rules. It allows studying the behavior of more or less complex systems by simulation techniques. Modeling is used in different state-of-the-art technological domains (meteorology, aeronautics). Its use has grown for the evaluation of medicines and medical devices, from conception to prescription (marketing authorization, reimbursement, price setting and re-registrations). It follows a scientific approach and is the object of good practice recommendations. Coupling models to virtual populations allows obtaining realistic results at the population level, testing diagnostic or therapeutic strategies, as well as estimating the consequences of transposing the results of clinical trials to the population. Through examples, the participants of the Round Table analyzed the contributions of the coupling of models and realistic virtual populations, and proposed guidelines for their judicious and systematic use.
© 2012 Société Française de Pharmacologie et de Thérapeutique.

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Year:  2012        PMID: 23110837     DOI: 10.2515/therapie/2012042

Source DB:  PubMed          Journal:  Therapie        ISSN: 0040-5957            Impact factor:   2.070


  2 in total

1.  Comparison of an effect-model-law-based method versus traditional clinical practice guidelines for optimal treatment decision-making: application to statin treatment in the French population.

Authors:  Riad Kahoul; François Gueyffier; Emmanuel Amsallem; Margaret Haugh; Ivanny Marchant; François-Henri Boissel; Jean-Pierre Boissel
Journal:  J R Soc Interface       Date:  2014-11-06       Impact factor: 4.118

2.  Public health and budget impact of probiotics on common respiratory tract infections: a modelling study.

Authors:  Irene Lenoir-Wijnkoop; Laetitia Gerlier; Jean-Louis Bresson; Claude Le Pen; Gilles Berdeaux
Journal:  PLoS One       Date:  2015-04-10       Impact factor: 3.240

  2 in total

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