Literature DB >> 25118988

Through a glass darkly: economics and personalised medicine.

Alan Haycox1, Munir Pirmohamed, Claire McLeod, Rachel Houten, Sarah Richards.   

Abstract

Personalised medicine and pharmacogenetic-test-guided treatment strategies will be of increasing importance in the future, both in terms of healthcare provision and evaluation. It is well recognised that significant variability exists in the response of patients to drugs resulting from genetic or biological variations; however, we are only now gradually becoming aware of the complexities involved. Enormous variability occurs in the risk-benefit ratio that will be experienced by each individual patient as a consequence of their overall genetic make-up. Although not a panacea, enhanced scientific knowledge of the genetic basis for such variability offers the potential for a more 'tailored' approach to prescribing in the future, making it more closely attuned to the needs of the individual patient. Such 'personalised' medicine has the potential to revolutionise care provision in a manner that provides a range of challenges to current structures and processes of 'conventional' healthcare delivery. The aim of this paper is to outline such challenges and analyse potential ways in which they may be addressed in the future. It provides non-expert readers with a non-technical case study of the complexities inherent in the evaluation of a pharmacogenetic-test-guided treatment strategy from a health economic perspective. Wherever possible, technical issues have been minimised; however, references are provided for readers who wish to enhance their knowledge of the pharmacological basis of the case study of cytochrome P450 test-guided treatment. The case study aims simply to illustrate the approach and difficulties encountered in the health economic evaluation of complex pharmacogenetic technologies. Such technologies present a range of new and complex issues which have crucial implications for health economists attempting to obtain an accurate assessment of the 'value' of the technology in clinical practice in an array of patient subgroups. Personalised medicine is the future and this paper highlights how pharmaceutical manufacturers, clinicians, regulators and other stakeholders must all play their part in the inevitable and accelerating move into this complex and uncertain future.

Entities:  

Mesh:

Substances:

Year:  2014        PMID: 25118988     DOI: 10.1007/s40273-014-0190-6

Source DB:  PubMed          Journal:  Pharmacoeconomics        ISSN: 1170-7690            Impact factor:   4.981


  18 in total

Review 1.  CYP2D6 allele frequency in European Caucasians, Asians, Africans and their descendants.

Authors:  L DiAnne Bradford
Journal:  Pharmacogenomics       Date:  2002-03       Impact factor: 2.533

Review 2.  Hypothesis: comparisons of inter- and intra-individual variations can substitute for twin studies in drug research.

Authors:  W Kalow; B K Tang; L Endrenyi
Journal:  Pharmacogenetics       Date:  1998-08

Review 3.  Pharmacogenetics and cost-effectiveness analysis: a two-way street.

Authors:  Kalipso Chalkidou; Michael Rawlins
Journal:  Drug Discov Today       Date:  2011-08-30       Impact factor: 7.851

4.  Incidence of adverse drug reactions in hospitalized patients: a meta-analysis of prospective studies.

Authors:  J Lazarou; B H Pomeranz; P N Corey
Journal:  JAMA       Date:  1998-04-15       Impact factor: 56.272

5.  Gefitinib plus best supportive care in previously treated patients with refractory advanced non-small-cell lung cancer: results from a randomised, placebo-controlled, multicentre study (Iressa Survival Evaluation in Lung Cancer).

Authors:  Nick Thatcher; Alex Chang; Purvish Parikh; José Rodrigues Pereira; Tudor Ciuleanu; Joachim von Pawel; Sumitra Thongprasert; Eng Huat Tan; Kristine Pemberton; Venice Archer; Kevin Carroll
Journal:  Lancet       Date:  2005 Oct 29-Nov 4       Impact factor: 79.321

Review 6.  The clinical effectiveness and cost-effectiveness of genotyping for CYP2D6 for the management of women with breast cancer treated with tamoxifen: a systematic review.

Authors:  N Fleeman; C Martin Saborido; K Payne; A Boland; R Dickson; Y Dundar; A Fernández Santander; S Howell; W Newman; J Oyee; T Walley
Journal:  Health Technol Assess       Date:  2011-09       Impact factor: 4.014

Review 7.  Pharmacogenomics: the genetics of variable drug responses.

Authors:  Dan M Roden; Russell A Wilke; Heyo K Kroemer; C Michael Stein
Journal:  Circulation       Date:  2011-04-19       Impact factor: 29.690

Review 8.  Health technology assessment in the era of personalized health care.

Authors:  Lidia Becla; Jeantine E Lunshof; David Gurwitz; Tobias Schulte In den Bäumen; Hans V Westerhoff; Bodo M H Lange; Angela Brand
Journal:  Int J Technol Assess Health Care       Date:  2011-03-30       Impact factor: 2.188

9.  Gefitinib or carboplatin-paclitaxel in pulmonary adenocarcinoma.

Authors:  Tony S Mok; Yi-Long Wu; Sumitra Thongprasert; Chih-Hsin Yang; Da-Tong Chu; Nagahiro Saijo; Patrapim Sunpaweravong; Baohui Han; Benjamin Margono; Yukito Ichinose; Yutaka Nishiwaki; Yuichiro Ohe; Jin-Ji Yang; Busyamas Chewaskulyong; Haiyi Jiang; Emma L Duffield; Claire L Watkins; Alison A Armour; Masahiro Fukuoka
Journal:  N Engl J Med       Date:  2009-08-19       Impact factor: 91.245

Review 10.  Influence of cytochrome P450 polymorphisms on drug therapies: pharmacogenetic, pharmacoepigenetic and clinical aspects.

Authors:  Magnus Ingelman-Sundberg; Sarah C Sim; Alvin Gomez; Cristina Rodriguez-Antona
Journal:  Pharmacol Ther       Date:  2007-10-09       Impact factor: 12.310

View more
  7 in total

1.  Generic Cost-Effectiveness Models: A Proof of Concept of a Tool for Informed Decision-Making for Public Health Precision Medicine.

Authors:  Susan R Snyder; Jing Hao; Larisa H Cavallari; Zhi Geng; Amanda Elsey; Julie A Johnson; Zahurin Mohamed; Nathorn Chaiyakunapruk; Huey Yi Chong; Maznah Dahlui; Fatiha H Shabaruddin; George P Patrinos; Christina Mitropoulou; Marc S Williams
Journal:  Public Health Genomics       Date:  2019-06-12       Impact factor: 2.000

2.  Self-monitoring and psychoeducation in bipolar patients with a smart-phone application (SIMPLe) project: design, development and studies protocols.

Authors:  Diego Hidalgo-Mazzei; Ainoa Mateu; María Reinares; Juan Undurraga; Caterina del Mar Bonnín; José Sánchez-Moreno; Eduard Vieta; Francesc Colom
Journal:  BMC Psychiatry       Date:  2015-03-20       Impact factor: 3.630

3.  Implementing personalized medicine with asymmetric information on prevalence rates.

Authors:  Fernando Antoñanzas; Carmelo A Juárez-Castelló; Roberto Rodríguez-Ibeas
Journal:  Health Econ Rev       Date:  2016-08-18

Review 4.  Cost-effectiveness of pharmacogenetic-guided treatment: are we there yet?

Authors:  M Verbelen; M E Weale; C M Lewis
Journal:  Pharmacogenomics J       Date:  2017-06-13       Impact factor: 3.550

Review 5.  Real Impact of Novel Immunotherapy Drugs in Cancer. The Experience of 10 Last Years.

Authors:  Andreas Koulouris; Christos Tsagkaris; Michail Nikolaou
Journal:  Toxins (Basel)       Date:  2021-02-15       Impact factor: 4.546

6.  Physiologically Based Pharmacokinetic Modeling to Describe the CYP2D6 Activity Score-Dependent Metabolism of Paroxetine, Atomoxetine and Risperidone.

Authors:  Simeon Rüdesheim; Dominik Selzer; Thomas Mürdter; Svitlana Igel; Reinhold Kerb; Matthias Schwab; Thorsten Lehr
Journal:  Pharmaceutics       Date:  2022-08-18       Impact factor: 6.525

7.  Evidence used in model-based economic evaluations for evaluating pharmacogenetic and pharmacogenomic tests: a systematic review protocol.

Authors:  Jaime L Peters; Chris Cooper; James Buchanan
Journal:  BMJ Open       Date:  2015-11-11       Impact factor: 2.692

  7 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.