Literature DB >> 19604080

Back to the future: why randomized controlled trials cannot be the answer to pharmacogenomics and personalized medicine.

Felix W Frueh1.   

Abstract

Randomized controlled trials are the gold standard for determining the efficacy of therapeutic interventions. However, medical practice has not evolved around the concept of randomized trials, but around the idea of careful observations, (anecdotal) case studies and the evaluation of retrospective data. Interventions discovered by these means and taken forward into clinical practice became standard practice as they continued to be superior when compared with prior or alternative types of treatment. Personalized medicine refers to an approach of clinical practice where a particular treatment is not chosen based on the 'average patient', but on characteristics of an individual patient, for example, a genetic profile that may vary from one patient to another, and therefore, allows to 'personalize' the treatment to a patient's individual needs. While the call for prospective randomized controlled trials to assess the effective use of such measurement may make sense in some cases, it is, when applied without distinction, hindering the implementation of personalized medicine. Important evidence for the validity and clinical effectiveness of using biomarkers, for example, a patient's genetic profile, can be gained from alternative approaches, including case-control and cohort studies, and retrospective analyses of data. Hence, we need to re-focus on approaches that are neither new nor unproven, but have been ignored over the last few decades.

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Year:  2009        PMID: 19604080     DOI: 10.2217/pgs.09.62

Source DB:  PubMed          Journal:  Pharmacogenomics        ISSN: 1462-2416            Impact factor:   2.533


  20 in total

1.  Perspective: The clinical trial barriers.

Authors:  Liang Liu; Elaine Lai-Han Leung; Xiaoying Tian
Journal:  Nature       Date:  2011-12-21       Impact factor: 49.962

2.  Pharmacogenetic testing: Current Evidence of Clinical Utility.

Authors:  Jivan Moaddeb; Susanne B Haga
Journal:  Ther Adv Drug Saf       Date:  2013-08-01

Review 3.  Pharmacogenomics in early-phase oncology clinical trials: is there a sweet spot in phase II?

Authors:  Peter H O'Donnell; Walter M Stadler
Journal:  Clin Cancer Res       Date:  2012-03-16       Impact factor: 12.531

4.  Opportunities for translational epidemiology: the important role of observational studies to advance precision oncology.

Authors:  Michael Marrone; Richard L Schilsky; Geoff Liu; Muin J Khoury; Andrew N Freedman
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2015-03       Impact factor: 4.254

Review 5.  Research Directions in the Clinical Implementation of Pharmacogenomics: An Overview of US Programs and Projects.

Authors:  Simona Volpi; Carol J Bult; Rex L Chisholm; Patricia A Deverka; Geoffrey S Ginsburg; Howard J Jacob; Melpomeni Kasapi; Howard L McLeod; Dan M Roden; Marc S Williams; Eric D Green; Laura Lyman Rodriguez; Samuel Aronson; Larisa H Cavallari; Joshua C Denny; Lynn G Dressler; Julie A Johnson; Teri E Klein; J Steven Leeder; Micheline Piquette-Miller; Minoli Perera; Laura J Rasmussen-Torvik; Heidi L Rehm; Marylyn D Ritchie; Todd C Skaar; Nikhil Wagle; Richard Weinshilboum; Kristin W Weitzel; Robert Wildin; John Wilson; Teri A Manolio; Mary V Relling
Journal:  Clin Pharmacol Ther       Date:  2018-03-30       Impact factor: 6.875

Review 6.  Pharmacogenomics in early-phase clinical development.

Authors:  Tal Burt; Savita Dhillon
Journal:  Pharmacogenomics       Date:  2013-07       Impact factor: 2.533

Review 7.  Bridging the Gaps in Personalized Medicine Value Assessment: A Review of the Need for Outcome Metrics across Stakeholders and Scientific Disciplines.

Authors:  William S Bush; Jessica N Cooke Bailey; Mark F Beno; Dana C Crawford
Journal:  Public Health Genomics       Date:  2019-08-27       Impact factor: 2.000

8.  Capacity building for assessing new technologies: approaches to examining personalized medicine in practice.

Authors:  Stephanie L Van Bebber; Julia R Trosman; Su-Ying Liang; Grace Wang; Deborah A Marshall; Sara Knight; Kathryn A Phillips
Journal:  Per Med       Date:  2010-07       Impact factor: 2.512

9.  Pharmacogenetics and personal genomes.

Authors:  Michael J Wagner
Journal:  Per Med       Date:  2009-11-01       Impact factor: 2.512

10.  The development and validation of a decision-analytic model representing the full disease course of acute myeloid leukemia.

Authors:  Annemieke Leunis; W Ken Redekop; Kees A G M van Montfort; Bob Löwenberg; Carin A Uyl-de Groot
Journal:  Pharmacoeconomics       Date:  2013-07       Impact factor: 4.981

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