Literature DB >> 20863574

Specificity profile of paroxetine in major depressive disorder: meta-regression of double-blind, randomized clinical trials.

Alessandro Serretti1, Sara Gibiino, Antonio Drago.   

Abstract

BACKGROUND: Meta-analyses and reviews are powerful tools to inform clinicians on overall effects of their therapeutic choices, but do not provide practically useful clinical profiles for each drug optimal efficacy. Therefore clinicians in everyday practice have to rely mainly on personal or anecdotic experience. The aim of present study was to define the most suitable sociodemographic and disease-related profile for the use of paroxetine as an antidepressant treatment.
METHODS: MEDLINE, EMBASE, CINAHL, and PsycINFO were searched for randomized controlled trials (RCT) in English focused on "paroxetine" and "depressive disorder" or "major depression". We also considered reviews and meta-analyses focusing on paroxetine. Fifty-five total unique RCTs were included and sociodemographic and clinical data as moderator of efficacy measures (standardized mean difference based on Hamilton Depressive Rating Scale and Montgomery-Asberg Depression Rating Scale) were investigated via meta-regression analysis.
RESULTS: Paroxetine was significantly characterized by better response in females and in Caucasians, whilst for patients who have been ill for a longer time before treatment, the smaller was the antidepressant effect. Other disease-related variables were not found to be significant moderators in clinical outcome. LIMITATIONS: Meta-regression may lack sufficient sensibility to detect specific subtle features, so a failure to find significant effect is not definitive evidence of a lack of effect.
CONCLUSIONS: Our results, though significant, were generally observed with small estimate values, their clinical relevance is subtle since each feature is expected to influence marginally the whole outcome, and probably a more pronounced effect could result only by analyzing very large samples.
Copyright © 2010 Elsevier B.V. All rights reserved.

Entities:  

Mesh:

Substances:

Year:  2010        PMID: 20863574     DOI: 10.1016/j.jad.2010.08.018

Source DB:  PubMed          Journal:  J Affect Disord        ISSN: 0165-0327            Impact factor:   4.839


  3 in total

1.  Sex differences in human lymphoblastoid cells sensitivities to antipsychotic drugs.

Authors:  Ayelet Morag; Keren Oved; David Gurwitz
Journal:  J Mol Neurosci       Date:  2012-07-04       Impact factor: 3.444

2.  Evaluating treatments in health care: the instability of a one-legged stool.

Authors:  Bonnie J Kaplan; Gerald Giesbrecht; Scott Shannon; Kevin McLeod
Journal:  BMC Med Res Methodol       Date:  2011-05-11       Impact factor: 4.615

3.  Personalized Psychiatry and Depression: The Role of Sociodemographic and Clinical Variables.

Authors:  Giampaolo Perna; Alessandra Alciati; Silvia Daccò; Massimiliano Grassi; Daniela Caldirola
Journal:  Psychiatry Investig       Date:  2020-03-12       Impact factor: 2.505

  3 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.