Literature DB >> 34215853

Economic evaluation in psychiatric pharmacogenomics: a systematic review.

Kariofyllis Karamperis1,2, Maria Koromina1,2, Panagiotis Papantoniou3, Maria Skokou4, Filippos Kanellakis2, Konstantinos Mitropoulos5, Athanassios Vozikis6, Daniel J Müller7,8,9, George P Patrinos2,10,11, Christina Mitropoulou12.   

Abstract

Nowadays, many relevant drug-gene associations have been discovered, but pharmacogenomics (PGx)-guided treatment needs to be cost-effective as well as clinically beneficial to be incorporated into standard health care. To address current challenges, this systematic review provides an update regarding previously published studies, which assessed the cost-effectiveness of PGx testing for the prescription of antidepressants and antipsychotics. From a total of 1159 studies initially identified by literature database querying, and after manual assessment and curation of all of them, a mere 18 studies met our inclusion criteria. Of the 18 studies evaluations, 16 studies (88.89%) drew conclusions in favor of PGx testing, of which 9 (50%) genome-guided interventions were cost-effective and 7 (38.9%) were less costly compared to standard treatment based on cost analysis. More precisely, supportive evidence exists for CYP2D6 and CYP2C19 drug-gene associations and for combinatorial PGx panels, but evidence is limited for many other drug-gene combinations. Amongst the limitations of the field are the unclear explanation of perspective and cost inputs, as well as the underreporting of study design elements, which can influence though the economic evaluation. Overall, the findings of this article demonstrate that although there is growing evidence on the cost-effectiveness of genome-guided interventions in psychiatric diseases, there is still a need for performing additional research on economic evaluations of PGx implementation with an emphasis on psychiatric disorders.
© 2021. The Author(s), under exclusive licence to Springer Nature Limited.

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Year:  2021        PMID: 34215853     DOI: 10.1038/s41397-021-00249-1

Source DB:  PubMed          Journal:  Pharmacogenomics J        ISSN: 1470-269X            Impact factor:   3.550


  56 in total

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Review 10.  The Genetics of Treatment-Resistant Depression: A Critical Review and Future Perspectives.

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  5 in total

1.  Dutch Pharmacogenetics Working Group (DPWG) guideline for the gene-drug interaction between CYP2C19 and CYP2D6 and SSRIs.

Authors:  Jurriaan M J L Brouwer; Marga Nijenhuis; Bianca Soree; Henk-Jan Guchelaar; Jesse J Swen; Ron H N van Schaik; Jan van der Weide; Gerard A P J M Rongen; Anne-Marie Buunk; Nienke J de Boer-Veger; Elisa J F Houwink; Roos van Westrhenen; Bob Wilffert; Vera H M Deneer; Hans Mulder
Journal:  Eur J Hum Genet       Date:  2021-11-16       Impact factor: 5.351

Review 2.  A systematic review on the cost effectiveness of pharmacogenomics in developing countries: implementation challenges.

Authors:  Asif Sukri; Mohd Zaki Salleh; Collen Masimirembwa; Lay Kek Teh
Journal:  Pharmacogenomics J       Date:  2022-03-22       Impact factor: 3.245

3.  Meta-analysis of pharmacogenetic clinical decision support systems for the treatment of major depressive disorder.

Authors:  Valentin Skryabin; Ilya Rozochkin; Mikhail Zastrozhin; Volker Lauschke; Johan Franck; Evgeny Bryun; Dmitry Sychev
Journal:  Pharmacogenomics J       Date:  2022-10-22       Impact factor: 3.245

4.  The Identification of Novel CYP2D6 Variants in US Hmong: Results From Genome Sequencing and Clinical Genotyping.

Authors:  Ya Feng Wen; Andrea Gaedigk; Erin C Boone; Wendy Y Wang; Robert J Straka
Journal:  Front Pharmacol       Date:  2022-03-21       Impact factor: 5.810

5.  Cost-Utility Analysis of Pharmacogenetic Testing Based on CYP2C19 or CYP2D6 in Major Depressive Disorder: Assessing the Drivers of Different Cost-Effectiveness Levels from an Italian Societal Perspective.

Authors:  Andrea Carta; Maria Del Zompo; Anna Meloni; Francesco Mola; Pasquale Paribello; Federica Pinna; Marco Pinna; Claudia Pisanu; Mirko Manchia; Alessio Squassina; Bernardo Carpiniello; Claudio Conversano
Journal:  Clin Drug Investig       Date:  2022-08-05       Impact factor: 3.580

  5 in total

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