Literature DB >> 29728861

Patient characteristics driving clinical utility in psychiatric pharmacogenetics: a reanalysis from the AB-GEN multicentric trial.

J M Menchón1,2,3, J Espadaler4, M Tuson4, J Saiz-Ruiz1,5, J Bobes1,6,7, E Vieta1,8,9, E Álvarez1,10,11, V Pérez12,13.   

Abstract

Clinical utility of commercial multi-gene pharmacogenetic tests in depression is starting to be studied with some promising results on efficacy and tolerability. Among the next steps is the definition of the patient profile that is most likely to benefit from testing. Here we present a reanalysis of data from the AB-GEN randomized clinical trial showing that clinical utility of pharmacogenetic testing can be markedly influenced by patient characteristics such as age, baseline severity and duration of current depressive episode.Trial registration ClinicalTrials.gov NCT02529462.

Entities:  

Keywords:  Antidepressant response; Baseline severity; Depression; Pharmacogenetics; Precision medicine; Randomized clinical trial

Mesh:

Substances:

Year:  2018        PMID: 29728861     DOI: 10.1007/s00702-018-1879-z

Source DB:  PubMed          Journal:  J Neural Transm (Vienna)        ISSN: 0300-9564            Impact factor:   3.575


  15 in total

1.  A rating scale for depression.

Authors:  M HAMILTON
Journal:  J Neurol Neurosurg Psychiatry       Date:  1960-02       Impact factor: 10.154

Review 2.  Antidepressant pharmacogenetics.

Authors:  Ajeet B Singh; Chad A Bousman; Chee Ng; Michael Berk
Journal:  Curr Opin Psychiatry       Date:  2014-01       Impact factor: 4.741

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.  Efficacy of antidepressants for late-life depression: a meta-analysis and meta-regression of placebo-controlled randomized trials.

Authors:  Enrico Tedeschini; Yeciel Levkovitz; Nadia Iovieno; Victoria E Ameral; J Craig Nelson; George I Papakostas
Journal:  J Clin Psychiatry       Date:  2011-12       Impact factor: 4.384

5.  Contribution of common genetic variants to antidepressant response.

Authors:  Katherine E Tansey; Michel Guipponi; Xiaolan Hu; Enrico Domenici; Glyn Lewis; Alain Malafosse; Jens R Wendland; Cathryn M Lewis; Peter McGuffin; Rudolf Uher
Journal:  Biol Psychiatry       Date:  2012-12-11       Impact factor: 13.382

6.  Acute and longer-term outcomes in depressed outpatients requiring one or several treatment steps: a STAR*D report.

Authors:  A John Rush; Madhukar H Trivedi; Stephen R Wisniewski; Andrew A Nierenberg; Jonathan W Stewart; Diane Warden; George Niederehe; Michael E Thase; Philip W Lavori; Barry D Lebowitz; Patrick J McGrath; Jerrold F Rosenbaum; Harold A Sackeim; David J Kupfer; James Luther; Maurizio Fava
Journal:  Am J Psychiatry       Date:  2006-11       Impact factor: 18.112

Review 7.  Antidepressant drug effects and depression severity: a patient-level meta-analysis.

Authors:  Jay C Fournier; Robert J DeRubeis; Steven D Hollon; Sona Dimidjian; Jay D Amsterdam; Richard C Shelton; Jan Fawcett
Journal:  JAMA       Date:  2010-01-06       Impact factor: 56.272

8.  Differences in medication adherence and healthcare resource utilization patterns: older versus newer antidepressant agents in patients with depression and/or anxiety disorders.

Authors:  David V Sheehan; Matthew S Keene; Michael Eaddy; Stan Krulewicz; John E Kraus; David J Carpenter
Journal:  CNS Drugs       Date:  2008       Impact factor: 5.749

9.  Improved efficacy with targeted pharmacogenetic-guided treatment of patients with depression and anxiety: A randomized clinical trial demonstrating clinical utility.

Authors:  Paul Bradley; Michael Shiekh; Vishaal Mehra; Keith Vrbicky; Stacey Layle; Marilyn C Olson; Alejandra Maciel; Ali Cullors; Jorge A Garces; Andrew A Lukowiak
Journal:  J Psychiatr Res       Date:  2017-09-23       Impact factor: 4.791

10.  Efficacy of prospective pharmacogenetic testing in the treatment of major depressive disorder: results of a randomized, double-blind clinical trial.

Authors:  Víctor Pérez; Ariana Salavert; Jordi Espadaler; Miquel Tuson; Jerónimo Saiz-Ruiz; Cristina Sáez-Navarro; Julio Bobes; Enrique Baca-García; Eduard Vieta; José M Olivares; Roberto Rodriguez-Jimenez; José M Villagrán; Josep Gascón; Josep Cañete-Crespillo; Montse Solé; Pilar A Saiz; Ángela Ibáñez; Javier de Diego-Adeliño; José M Menchón
Journal:  BMC Psychiatry       Date:  2017-07-14       Impact factor: 3.630

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  2 in total

1.  Multi-gene Pharmacogenomic Testing That Includes Decision-Support Tools to Guide Medication Selection for Major Depression: A Health Technology Assessment.

Authors: 
Journal:  Ont Health Technol Assess Ser       Date:  2021-08-12

2.  Effectiveness of a Pharmacogenetic Tool at Improving Treatment Efficacy in Major Depressive Disorder: A Meta-Analysis of Three Clinical Studies.

Authors:  Silvia Vilches; Miquel Tuson; Eduard Vieta; Enric Álvarez; Jordi Espadaler
Journal:  Pharmaceutics       Date:  2019-09-02       Impact factor: 6.321

  2 in total

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