Literature DB >> 36273107

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

Valentin Skryabin1,2, Ilya Rozochkin3, Mikhail Zastrozhin3,4,5, Volker Lauschke6,7,8, Johan Franck9, Evgeny Bryun3,4, Dmitry Sychev4.   

Abstract

The study aimed to conduct a meta-analysis of studies comparing pharmacogenetically guided dosing of antidepressants with empiric standard of care. Publications referring to genotype-guided antidepressant therapy were identified via PubMed, Google Scholar, Scopus, Web of Science, Embase, and Cochrane databases from the inception of the databases to 2021. In addition, bibliographies of all articles were manually searched for additional references not identified in primary searches. Studies comparing clinical outcomes between two groups of patients who received antidepressant treatment were included in meta-analysis. Analysis of the data revealed statistically significant differences between the experimental group receiving pharmacogenetically guided dosing and the empirically treated controls. Specifically, genotype-guided treatment significantly improved response and remission of patients after both eight and twelve weeks of therapy, whereas no effect on the development of adverse drug reactions was observed. This meta-analysis indicates that the use of preemptive genotyping to guide dosing of antidepressants might increase treatment efficacy.
© 2022. The Author(s), under exclusive licence to Springer Nature Limited.

Entities:  

Year:  2022        PMID: 36273107     DOI: 10.1038/s41397-022-00295-3

Source DB:  PubMed          Journal:  Pharmacogenomics J        ISSN: 1470-269X            Impact factor:   3.245


  23 in total

Review 1.  Does obtaining CYP2D6 and CYP2C19 pharmacogenetic testing predict antidepressant response or adverse drug reactions?

Authors:  Haley V Solomon; Kevin W Cates; Kevin J Li
Journal:  Psychiatry Res       Date:  2018-12-08       Impact factor: 3.222

Review 2.  Clinical Implementation of Pharmacogenomics for Personalized Precision Medicine: Barriers and Solutions.

Authors:  Michelle E Klein; Md Masud Parvez; Jae-Gook Shin
Journal:  J Pharm Sci       Date:  2017-06-13       Impact factor: 3.534

Review 3.  Commercial pharmacogenetic-based decision-support tools in psychiatry.

Authors:  Chad A Bousman; Malcolm Hopwood
Journal:  Lancet Psychiatry       Date:  2016-04-25       Impact factor: 27.083

4.  The inclusion of health data standards in the implementation of pharmacogenomics systems: a scoping review.

Authors:  Don Roosan; Angela Hwang; Anandi V Law; Jay Chok; Moom R Roosan
Journal:  Pharmacogenomics       Date:  2020-10-30       Impact factor: 2.533

Review 5.  Pharmacogenomic Biomarkers for Improved Drug Therapy-Recent Progress and Future Developments.

Authors:  Volker M Lauschke; Lili Milani; Magnus Ingelman-Sundberg
Journal:  AAPS J       Date:  2017-11-27       Impact factor: 4.009

6.  The clinical utility of combinatorial pharmacogenomic testing for patients with depression: a meta-analysis.

Authors:  Lisa Brown; Oliver Vranjkovic; James Li; Kunbo Yu; Talal Al Habbab; Holly Johnson; Krystal Brown; Michael R Jablonski; Bryan Dechairo
Journal:  Pharmacogenomics       Date:  2020-04-17       Impact factor: 2.533

7.  What hinders the uptake of computerized decision support systems in hospitals? A qualitative study and framework for implementation.

Authors:  Elisa G Liberati; Francesca Ruggiero; Laura Galuppo; Mara Gorli; Marien González-Lorenzo; Marco Maraldi; Pietro Ruggieri; Hernan Polo Friz; Giuseppe Scaratti; Koren H Kwag; Roberto Vespignani; Lorenzo Moja
Journal:  Implement Sci       Date:  2017-09-15       Impact factor: 7.327

8.  Economic evaluation in psychiatric pharmacogenomics: a systematic review.

Authors:  Kariofyllis Karamperis; Maria Koromina; Panagiotis Papantoniou; Maria Skokou; Filippos Kanellakis; Konstantinos Mitropoulos; Athanassios Vozikis; Daniel J Müller; George P Patrinos; Christina Mitropoulou
Journal:  Pharmacogenomics J       Date:  2021-07-02       Impact factor: 3.550

9.  Incorporation of pharmacogenomics into routine clinical practice: the Clinical Pharmacogenetics Implementation Consortium (CPIC) guideline development process.

Authors:  Kelly E Caudle; Teri E Klein; James M Hoffman; Daniel J Muller; Michelle Whirl-Carrillo; Li Gong; Ellen M McDonagh; Katrin Sangkuhl; Caroline F Thorn; Matthias Schwab; Jose A G Agundez; Robert R Freimuth; Vojtech Huser; Ming Ta Michael Lee; Otito F Iwuchukwu; Kristine R Crews; Stuart A Scott; Mia Wadelius; Jesse J Swen; Rachel F Tyndale; C Michael Stein; Dan Roden; Mary V Relling; Marc S Williams; Samuel G Johnson
Journal:  Curr Drug Metab       Date:  2014-02       Impact factor: 3.731

Review 10.  An overview of clinical decision support systems: benefits, risks, and strategies for success.

Authors:  Reed T Sutton; David Pincock; Daniel C Baumgart; Daniel C Sadowski; Richard N Fedorak; Karen I Kroeker
Journal:  NPJ Digit Med       Date:  2020-02-06
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