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Psychosocial interventions for Alzheimer’s disease cognitive symptoms: a Bayesian network meta-analysis

BACKGROUND: Alzheimer disease (AD) is the most common type of dementia with cognitive decline as one of the core symptoms in older adults. Numerous studies have suggested the value of psychosocial interventions to improve cognition in this population, but which one should be preferred are still matt...

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Autores principales: Duan, Yuting, Lu, Liming, Chen, Juexuan, Wu, Chunxiao, Liang, Jielin, Zheng, Yan, Wu, Jinjian, Rong, Peijing, Tang, Chunzhi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6081912/
https://www.ncbi.nlm.nih.gov/pubmed/30086714
http://dx.doi.org/10.1186/s12877-018-0864-6
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author Duan, Yuting
Lu, Liming
Chen, Juexuan
Wu, Chunxiao
Liang, Jielin
Zheng, Yan
Wu, Jinjian
Rong, Peijing
Tang, Chunzhi
author_facet Duan, Yuting
Lu, Liming
Chen, Juexuan
Wu, Chunxiao
Liang, Jielin
Zheng, Yan
Wu, Jinjian
Rong, Peijing
Tang, Chunzhi
author_sort Duan, Yuting
collection PubMed
description BACKGROUND: Alzheimer disease (AD) is the most common type of dementia with cognitive decline as one of the core symptoms in older adults. Numerous studies have suggested the value of psychosocial interventions to improve cognition in this population, but which one should be preferred are still matters of controversy. Consequently, we aim to compare and rank different psychosocial interventions in the management of mild to moderate AD with cognitive symptoms. METHODS: We did a network meta-analysis to identify both direct and indirect evidence in relevant studies. We searched MEDLINE, EMBASE, PsycINFO through the OVID database, CENTRAL through the Cochrane Library for clinical randomized controlled trials investigating psychosocial interventions of cognitive symptoms in patients with Alzheimer disease, published up to August 31, 2017. We included trials of home-based exercise(HE), group exercise(GE), walking program(WP), reminiscence therapy(RT), art therapy(AT) or the combination of psychosocial interventions and acetylcholinesterase inhibitor (ChEIs). We extracted the relevant information from these trials with a predefined data extraction sheet and assessed the risk of bias with the Cochrane risk of bias tool. The outcomes investigated were Mini–Mental State Examination (MMSE) and compliance. We did a pair-wise meta-analysis using the fixed-effects model and then did a random-effects network meta-analysis within a Bayesian framework. RESULTS: We deemed 10 trials eligible, including 682 patients and 11 treatments. The quality of included study was rated as low in most comparison with Cochrane tools. Treatment effects from the network meta-analysis showed WP was better than control (SMD 4.89, 95% CI -0.07 to 10.00) while cognitive training and acetylcholinesterase inhibitor (CT + ChEIs) was significantly better than the other treatments, when compared with simple ChEIs treatment, assessed by MMSE. In terms of compliance, the pair-wise meta-analysis indicated that WP and HE are better than GE and AT, while CT + ChEIs, CST + ChEIs are better than other combined interventions. CONCLUSION: Our study confirmed the effectiveness of psychosocial interventions for improving cognition or slowing down the progression of cognitive impairment in AD patients and recommended several interventions for clinical practice. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12877-018-0864-6) contains supplementary material, which is available to authorized users.
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spelling pubmed-60819122018-08-10 Psychosocial interventions for Alzheimer’s disease cognitive symptoms: a Bayesian network meta-analysis Duan, Yuting Lu, Liming Chen, Juexuan Wu, Chunxiao Liang, Jielin Zheng, Yan Wu, Jinjian Rong, Peijing Tang, Chunzhi BMC Geriatr Research Article BACKGROUND: Alzheimer disease (AD) is the most common type of dementia with cognitive decline as one of the core symptoms in older adults. Numerous studies have suggested the value of psychosocial interventions to improve cognition in this population, but which one should be preferred are still matters of controversy. Consequently, we aim to compare and rank different psychosocial interventions in the management of mild to moderate AD with cognitive symptoms. METHODS: We did a network meta-analysis to identify both direct and indirect evidence in relevant studies. We searched MEDLINE, EMBASE, PsycINFO through the OVID database, CENTRAL through the Cochrane Library for clinical randomized controlled trials investigating psychosocial interventions of cognitive symptoms in patients with Alzheimer disease, published up to August 31, 2017. We included trials of home-based exercise(HE), group exercise(GE), walking program(WP), reminiscence therapy(RT), art therapy(AT) or the combination of psychosocial interventions and acetylcholinesterase inhibitor (ChEIs). We extracted the relevant information from these trials with a predefined data extraction sheet and assessed the risk of bias with the Cochrane risk of bias tool. The outcomes investigated were Mini–Mental State Examination (MMSE) and compliance. We did a pair-wise meta-analysis using the fixed-effects model and then did a random-effects network meta-analysis within a Bayesian framework. RESULTS: We deemed 10 trials eligible, including 682 patients and 11 treatments. The quality of included study was rated as low in most comparison with Cochrane tools. Treatment effects from the network meta-analysis showed WP was better than control (SMD 4.89, 95% CI -0.07 to 10.00) while cognitive training and acetylcholinesterase inhibitor (CT + ChEIs) was significantly better than the other treatments, when compared with simple ChEIs treatment, assessed by MMSE. In terms of compliance, the pair-wise meta-analysis indicated that WP and HE are better than GE and AT, while CT + ChEIs, CST + ChEIs are better than other combined interventions. CONCLUSION: Our study confirmed the effectiveness of psychosocial interventions for improving cognition or slowing down the progression of cognitive impairment in AD patients and recommended several interventions for clinical practice. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12877-018-0864-6) contains supplementary material, which is available to authorized users. BioMed Central 2018-08-07 /pmc/articles/PMC6081912/ /pubmed/30086714 http://dx.doi.org/10.1186/s12877-018-0864-6 Text en © The Author(s). 2018 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research Article
Duan, Yuting
Lu, Liming
Chen, Juexuan
Wu, Chunxiao
Liang, Jielin
Zheng, Yan
Wu, Jinjian
Rong, Peijing
Tang, Chunzhi
Psychosocial interventions for Alzheimer’s disease cognitive symptoms: a Bayesian network meta-analysis
title Psychosocial interventions for Alzheimer’s disease cognitive symptoms: a Bayesian network meta-analysis
title_full Psychosocial interventions for Alzheimer’s disease cognitive symptoms: a Bayesian network meta-analysis
title_fullStr Psychosocial interventions for Alzheimer’s disease cognitive symptoms: a Bayesian network meta-analysis
title_full_unstemmed Psychosocial interventions for Alzheimer’s disease cognitive symptoms: a Bayesian network meta-analysis
title_short Psychosocial interventions for Alzheimer’s disease cognitive symptoms: a Bayesian network meta-analysis
title_sort psychosocial interventions for alzheimer’s disease cognitive symptoms: a bayesian network meta-analysis
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6081912/
https://www.ncbi.nlm.nih.gov/pubmed/30086714
http://dx.doi.org/10.1186/s12877-018-0864-6
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