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Efficacy of antidepressive medication for depression in Parkinson disease: a network meta-analysis
BACKGROUND: Parkinson disease (PD) was considered as the 2nd most prevalent neurodegenerative disorder after Alzheimer disease, while depression is a prevailing nonmotor symptom of PD. Typically used antidepression medication includes tricyclic antidepressants (TCA), selective serotonin reuptake inh...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Wolters Kluwer Health
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5459691/ https://www.ncbi.nlm.nih.gov/pubmed/28562526 http://dx.doi.org/10.1097/MD.0000000000006698 |
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author | Zhuo, Chuanjun Xue, Rong Luo, Lanlan Ji, Feng Tian, Hongjun Qu, Hongru Lin, Xiaodong Jiang, Ronghuan Tao, Ran |
author_facet | Zhuo, Chuanjun Xue, Rong Luo, Lanlan Ji, Feng Tian, Hongjun Qu, Hongru Lin, Xiaodong Jiang, Ronghuan Tao, Ran |
author_sort | Zhuo, Chuanjun |
collection | PubMed |
description | BACKGROUND: Parkinson disease (PD) was considered as the 2nd most prevalent neurodegenerative disorder after Alzheimer disease, while depression is a prevailing nonmotor symptom of PD. Typically used antidepression medication includes tricyclic antidepressants (TCA), selective serotonin reuptake inhibitors (SSRI), serotonin and norepinephrine reuptake inhibitors (SNRI), monoamine-oxidase inhibitors (MAOI), and dopamine agonists (DA). Our study aimed at evaluating the efficacy of antidepressive medications for depression of PD. METHODS: Web of Science, PubMed, Embase, and the Cochrane library were searched for related articles. Traditional meta-analysis and network meta-analysis (NMA) were performed with outcomes including depression score, UPDRS-II, UPDRS-III, and adverse effects. Surface under the cumulative ranking curve (SUCRA) was also performed to illustrate the rank probabilities of different medications on various outcomes. The consistency of direct and indirect evidence was also assessed by node-splitting method. RESULTS: Results of traditional pairwise meta-analysis were performed. Concerning depression score, significant improvement was observed in AD, MAOI, SSRI, and SNRI compared with placebo. NMA was performed and more information could be obtained. DA was illustrated to be effective over placebo concerning UPDRS-III, MAOI, and SNRI. DA demonstrated a better prognosis in UPDRS-II scores compared with placebo and MAOI. However, DA and SSRI demonstrated a significant increase in adverse effects compared with placebo. The SUCRA value was calculated to evaluate the ranking probabilities of all medications on investigated outcomes, and the consistency between direct and indirect evidences was assessed by node-splitting method. CONCLUSION: SSRI had a satisfying efficacy for the depression of PD patients and could improve activities of daily living and motor function of patient but the adverse effects are unneglectable. SNRI are the safest medication with high efficacy for depression as well while other outcomes are relatively poor. |
format | Online Article Text |
id | pubmed-5459691 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Wolters Kluwer Health |
record_format | MEDLINE/PubMed |
spelling | pubmed-54596912017-06-12 Efficacy of antidepressive medication for depression in Parkinson disease: a network meta-analysis Zhuo, Chuanjun Xue, Rong Luo, Lanlan Ji, Feng Tian, Hongjun Qu, Hongru Lin, Xiaodong Jiang, Ronghuan Tao, Ran Medicine (Baltimore) 6500 BACKGROUND: Parkinson disease (PD) was considered as the 2nd most prevalent neurodegenerative disorder after Alzheimer disease, while depression is a prevailing nonmotor symptom of PD. Typically used antidepression medication includes tricyclic antidepressants (TCA), selective serotonin reuptake inhibitors (SSRI), serotonin and norepinephrine reuptake inhibitors (SNRI), monoamine-oxidase inhibitors (MAOI), and dopamine agonists (DA). Our study aimed at evaluating the efficacy of antidepressive medications for depression of PD. METHODS: Web of Science, PubMed, Embase, and the Cochrane library were searched for related articles. Traditional meta-analysis and network meta-analysis (NMA) were performed with outcomes including depression score, UPDRS-II, UPDRS-III, and adverse effects. Surface under the cumulative ranking curve (SUCRA) was also performed to illustrate the rank probabilities of different medications on various outcomes. The consistency of direct and indirect evidence was also assessed by node-splitting method. RESULTS: Results of traditional pairwise meta-analysis were performed. Concerning depression score, significant improvement was observed in AD, MAOI, SSRI, and SNRI compared with placebo. NMA was performed and more information could be obtained. DA was illustrated to be effective over placebo concerning UPDRS-III, MAOI, and SNRI. DA demonstrated a better prognosis in UPDRS-II scores compared with placebo and MAOI. However, DA and SSRI demonstrated a significant increase in adverse effects compared with placebo. The SUCRA value was calculated to evaluate the ranking probabilities of all medications on investigated outcomes, and the consistency between direct and indirect evidences was assessed by node-splitting method. CONCLUSION: SSRI had a satisfying efficacy for the depression of PD patients and could improve activities of daily living and motor function of patient but the adverse effects are unneglectable. SNRI are the safest medication with high efficacy for depression as well while other outcomes are relatively poor. Wolters Kluwer Health 2017-06-02 /pmc/articles/PMC5459691/ /pubmed/28562526 http://dx.doi.org/10.1097/MD.0000000000006698 Text en Copyright © 2017 the Author(s). Published by Wolters Kluwer Health, Inc. http://creativecommons.org/licenses/by-nc/4.0 This is an open access article distributed under the terms of the Creative Commons Attribution-Non Commercial License 4.0 (CCBY-NC), where it is permissible to download, share, remix, transform, and buildup the work provided it is properly cited. The work cannot be used commercially without permission from the journal. http://creativecommons.org/licenses/by-nc/4.0 |
spellingShingle | 6500 Zhuo, Chuanjun Xue, Rong Luo, Lanlan Ji, Feng Tian, Hongjun Qu, Hongru Lin, Xiaodong Jiang, Ronghuan Tao, Ran Efficacy of antidepressive medication for depression in Parkinson disease: a network meta-analysis |
title | Efficacy of antidepressive medication for depression in Parkinson disease: a network meta-analysis |
title_full | Efficacy of antidepressive medication for depression in Parkinson disease: a network meta-analysis |
title_fullStr | Efficacy of antidepressive medication for depression in Parkinson disease: a network meta-analysis |
title_full_unstemmed | Efficacy of antidepressive medication for depression in Parkinson disease: a network meta-analysis |
title_short | Efficacy of antidepressive medication for depression in Parkinson disease: a network meta-analysis |
title_sort | efficacy of antidepressive medication for depression in parkinson disease: a network meta-analysis |
topic | 6500 |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5459691/ https://www.ncbi.nlm.nih.gov/pubmed/28562526 http://dx.doi.org/10.1097/MD.0000000000006698 |
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