Literature DB >> 29235150

Efficacy and tolerability of antidepressants in Parkinson's disease: A systematic review and network meta-analysis.

Kelly A Mills1, M Claire Greene2, Rebecca Dezube3, Carrie Goodson3, Taruja Karmarkar4, Gregory M Pontone5.   

Abstract

OBJECTIVE: To systematically review and analyze the efficacy and tolerability of different antidepressant pharmacologic treatments for depressive symptoms in Parkinson's disease (PD)
METHODS: We searched PubMed, EMBASE, Cochrane database (CENTRAL), clinicaltrials.gov, and bibliographies for randomized controlled trials investigating the efficacy of antidepressant medications versus a non-treatment, placebo, or active treatment groups for depressive symptoms in PD. Twenty of 3191 retrieved studies (1893 patients) were included, but not all could be meta-analyzed. We used a random-effects model meta-analysis to compare depression scores between an active drug and placebo or control group then used a network meta-analysis to compare the effectiveness of different antidepressant classes. The primary outcome was the efficacy of different classes of antidepressant medications in PD patients with depressive symptoms, measured by standardized mean difference (SMD) in depression score from baseline compared with control.
RESULTS: Pairwise meta-analysis suggested that type B-selective monoamine oxidase inhibitors (SMD = -1.28, CI = -1.68, -0.88), selective serotonin reuptake inhibitors (SMD = -0.49, CI = -0.93, -0.05), and tricyclics (SMD = -0.83, CI = -1.53, -0.13) are effective antidepressants in PD. Network meta-analysis showed that monoamine oxidase inhibitors had the largest effect on depression in PD (SMD (vs selective serotonin reuptake inhibitors) = -0.78, CI = -1.55, -0.01), but these might not be considered traditional antidepressants given their type B selectivity.
CONCLUSIONS: Although limited by few data, this review suggests that multiple antidepressant classes are potentially efficacious in the treatment of depression in PD, but that further comparative efficacy and tolerability research is needed.
Copyright © 2017 John Wiley & Sons, Ltd.

Entities:  

Keywords:  Parkinson's disease; antidepressant; depression; meta-analysis

Mesh:

Substances:

Year:  2017        PMID: 29235150      PMCID: PMC5992618          DOI: 10.1002/gps.4834

Source DB:  PubMed          Journal:  Int J Geriatr Psychiatry        ISSN: 0885-6230            Impact factor:   3.485


  37 in total

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  10 in total

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