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Antidepressants in elderly: Metaregression of double-blind, randomized clinical trials

Authors :
Calati, R
Signorelli, M
Balestri, M
Marsano, A
De Ronchi, D
Aguglia, E
Serretti, A
Calati R
Signorelli MS
Balestri M
Marsano A
De Ronchi D
Aguglia E
Serretti A
Calati, R
Signorelli, M
Balestri, M
Marsano, A
De Ronchi, D
Aguglia, E
Serretti, A
Calati R
Signorelli MS
Balestri M
Marsano A
De Ronchi D
Aguglia E
Serretti A
Publication Year :
2013

Abstract

Background: Depression is common in the elderly and in the last few years this led to a significant increase in antidepressant prescription rates. However, little is known about antidepressant efficacy profile in relation with socio-demographic and clinical features in this population. The aim of the present study was to define the most suitable socio-demographic and clinical profile for the use of antidepressant treatments in late-life depression. Methods: MEDLINE, EMBASE and PsycINFO were searched for randomized controlled trials (RCTs) focused on efficacy of antidepressants of all classes in major depressed elderly subjects (> 60 years old). Reviews and meta-analyses focusing on this topic have been considered as well. Thirty-four RCTs were included and socio-demographic and clinical features were investigated via meta-regression analysis as moderators of efficacy measures (standardized mean difference based on Hamilton Depressive Rating Scale and Montgomery-Asberg Depression Rating Scale). Results: A lower rate of response to antidepressants of all classes was found in patients of male gender, of older age, and with a longer mean duration of the current episode. On the contrary, a higher rate of response was found in patients with a higher baseline severity and at their first episode of illness. Subsamples treated with selective serotonin reuptake inhibitors alone yielded similar results. Limitations: RCTs only have been included. Conclusions: A number of socio-demographic and clinical features have been found to moderate antidepressant efficacy in elderly population. Those variables could help clinicians for a more individualized treatment. (C) 2012 Elsevier B.V. All rights reserved.

Details

Database :
OAIster
Notes :
English
Publication Type :
Electronic Resource
Accession number :
edsoai.on1308930576
Document Type :
Electronic Resource