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Chaihu Longgu Muli Decoction for post-stroke insomnia: A protocol for systematic review and meta-analysis

Poststroke insomnia (PSI) is a frequent complication of stroke usually as a comorbidity of poststroke depression and mainly occurs within the first 6 months after stroke.([1]) Addressing PSI to improve stroke prognosis is of great value. Herbal medicine like Chaihu Longgu Muli Decoction (CLMD), whic...

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Autores principales: Huang, Xuedi, Xiong, Yue, Jiang, Sichen, Tang, Lihua, Lin, Xingzhen, Fang, Xinyue, Shi, Yuzhen, Lan, Wanning, Xie, Yaying, Peng, Tianzhong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Lippincott Williams & Wilkins 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10101286/
https://www.ncbi.nlm.nih.gov/pubmed/37058036
http://dx.doi.org/10.1097/MD.0000000000033376
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author Huang, Xuedi
Xiong, Yue
Jiang, Sichen
Tang, Lihua
Lin, Xingzhen
Fang, Xinyue
Shi, Yuzhen
Lan, Wanning
Xie, Yaying
Peng, Tianzhong
author_facet Huang, Xuedi
Xiong, Yue
Jiang, Sichen
Tang, Lihua
Lin, Xingzhen
Fang, Xinyue
Shi, Yuzhen
Lan, Wanning
Xie, Yaying
Peng, Tianzhong
author_sort Huang, Xuedi
collection PubMed
description Poststroke insomnia (PSI) is a frequent complication of stroke usually as a comorbidity of poststroke depression and mainly occurs within the first 6 months after stroke.([1]) Addressing PSI to improve stroke prognosis is of great value. Herbal medicine like Chaihu Longgu Muli Decoction (CLMD), which is commonly considered to be a good treatment for depression and epilepsy, has the therapeutic potential on PSI; however, insufficient systematic reviews were conducted to testify its efficacy. Therefore, the objective of this paper is to provide reliable evidence of the efficacy and safety of CLMD on PSI and a foundation for further investigation. METHODS: The literature of clinical randomized controlled trials (RCTs) regarding CLMD for PSI published before June of 2021 will be retrieved in the databases, and 2 investigators will be asked to collect and crosscheck the data independently. For the including studies, the quality evaluation on methodology will be assessed in the light of the Cochrane Handbook for Systematic Review of Interventions V.5.1.0 as well as the quality of evidence will be evaluated by the Grading of Recommendations Assessment, Development, and Evaluation. Besides, the assessment of heterogeneity and reporting bias, the sensitivity analysis and the subgroup analysis will be conducted. Stata 15 will be applied to analyze the above data. RESULTS: The review will conduct a high-quality synthesis on present evidence of CLMD for PSI. CONCLUSION: The conclusion of the study will indicate whether CLMD is effective and safe for PSI.
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spelling pubmed-101012862023-04-14 Chaihu Longgu Muli Decoction for post-stroke insomnia: A protocol for systematic review and meta-analysis Huang, Xuedi Xiong, Yue Jiang, Sichen Tang, Lihua Lin, Xingzhen Fang, Xinyue Shi, Yuzhen Lan, Wanning Xie, Yaying Peng, Tianzhong Medicine (Baltimore) 5300 Poststroke insomnia (PSI) is a frequent complication of stroke usually as a comorbidity of poststroke depression and mainly occurs within the first 6 months after stroke.([1]) Addressing PSI to improve stroke prognosis is of great value. Herbal medicine like Chaihu Longgu Muli Decoction (CLMD), which is commonly considered to be a good treatment for depression and epilepsy, has the therapeutic potential on PSI; however, insufficient systematic reviews were conducted to testify its efficacy. Therefore, the objective of this paper is to provide reliable evidence of the efficacy and safety of CLMD on PSI and a foundation for further investigation. METHODS: The literature of clinical randomized controlled trials (RCTs) regarding CLMD for PSI published before June of 2021 will be retrieved in the databases, and 2 investigators will be asked to collect and crosscheck the data independently. For the including studies, the quality evaluation on methodology will be assessed in the light of the Cochrane Handbook for Systematic Review of Interventions V.5.1.0 as well as the quality of evidence will be evaluated by the Grading of Recommendations Assessment, Development, and Evaluation. Besides, the assessment of heterogeneity and reporting bias, the sensitivity analysis and the subgroup analysis will be conducted. Stata 15 will be applied to analyze the above data. RESULTS: The review will conduct a high-quality synthesis on present evidence of CLMD for PSI. CONCLUSION: The conclusion of the study will indicate whether CLMD is effective and safe for PSI. Lippincott Williams & Wilkins 2023-04-14 /pmc/articles/PMC10101286/ /pubmed/37058036 http://dx.doi.org/10.1097/MD.0000000000033376 Text en Copyright © 2023 the Author(s). Published by Wolters Kluwer Health, Inc. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the Creative Commons Attribution License 4.0 (CCBY) (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle 5300
Huang, Xuedi
Xiong, Yue
Jiang, Sichen
Tang, Lihua
Lin, Xingzhen
Fang, Xinyue
Shi, Yuzhen
Lan, Wanning
Xie, Yaying
Peng, Tianzhong
Chaihu Longgu Muli Decoction for post-stroke insomnia: A protocol for systematic review and meta-analysis
title Chaihu Longgu Muli Decoction for post-stroke insomnia: A protocol for systematic review and meta-analysis
title_full Chaihu Longgu Muli Decoction for post-stroke insomnia: A protocol for systematic review and meta-analysis
title_fullStr Chaihu Longgu Muli Decoction for post-stroke insomnia: A protocol for systematic review and meta-analysis
title_full_unstemmed Chaihu Longgu Muli Decoction for post-stroke insomnia: A protocol for systematic review and meta-analysis
title_short Chaihu Longgu Muli Decoction for post-stroke insomnia: A protocol for systematic review and meta-analysis
title_sort chaihu longgu muli decoction for post-stroke insomnia: a protocol for systematic review and meta-analysis
topic 5300
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10101286/
https://www.ncbi.nlm.nih.gov/pubmed/37058036
http://dx.doi.org/10.1097/MD.0000000000033376
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