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Effectiveness comparisons of different Chinese herbal injection therapies for acute cerebral infarction: A protocol for systematic review and network meta-analysis

BACKGROUND: Acute cerebral infarction (ACI) has a high incidence, recurrence rate, and mortality. Chinese herbal injections (CHIs) are widely used in the substitution therapy of ACI. Due to the lack of randomized trials comparing the efficacy of various injections directly, it is still difficult to...

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Autores principales: Li, Runmin, Li, Ying, Li, Bingchen, Sun, Haiyang, Liu, Xinyu, Ge, Xin, Liu, Yuanxiang, Yang, Jiguo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Wolters Kluwer Health 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7592989/
https://www.ncbi.nlm.nih.gov/pubmed/32769909
http://dx.doi.org/10.1097/MD.0000000000021584
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author Li, Runmin
Li, Ying
Li, Bingchen
Sun, Haiyang
Liu, Xinyu
Ge, Xin
Liu, Yuanxiang
Yang, Jiguo
author_facet Li, Runmin
Li, Ying
Li, Bingchen
Sun, Haiyang
Liu, Xinyu
Ge, Xin
Liu, Yuanxiang
Yang, Jiguo
author_sort Li, Runmin
collection PubMed
description BACKGROUND: Acute cerebral infarction (ACI) has a high incidence, recurrence rate, and mortality. Chinese herbal injections (CHIs) are widely used in the substitution therapy of ACI. Due to the lack of randomized trials comparing the efficacy of various injections directly, it is still difficult to judge the relative efficacy. Therefore, we intend to conduct a network meta-analysis to evaluate the benefit among these CHIs. METHODS: According to the retrieval strategies, randomized controlled trials (RCTs) on CHI therapies for ACI will be obtained from China National Knowledge Infrastructure, WanFang, Chinese Scientific Journals Database, PubMed, Embase and Cochrane Library, regardless of publication date or language. Studies were screened based on inclusion and exclusion criteria, and the Cochrane risk bias assessment tool will be used to evaluate the quality of the literature. The network meta-analysis will be performed in Markov Chain Monte Carlo method and carried out with Stata 14 and WinBUGS 1.4.3 software. Ultimately, the evidentiary grade for the results will be evaluated. RESULTS: This study will compare the efficacy and safety of CHIs in the treatment of ACI, and give a more reasonable choice. CONCLUSION: Our findings will provide references for future clinical decision and guidance developing. INPLASY registration number: INPLASY202060087.
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spelling pubmed-75929892020-10-29 Effectiveness comparisons of different Chinese herbal injection therapies for acute cerebral infarction: A protocol for systematic review and network meta-analysis Li, Runmin Li, Ying Li, Bingchen Sun, Haiyang Liu, Xinyu Ge, Xin Liu, Yuanxiang Yang, Jiguo Medicine (Baltimore) 3800 BACKGROUND: Acute cerebral infarction (ACI) has a high incidence, recurrence rate, and mortality. Chinese herbal injections (CHIs) are widely used in the substitution therapy of ACI. Due to the lack of randomized trials comparing the efficacy of various injections directly, it is still difficult to judge the relative efficacy. Therefore, we intend to conduct a network meta-analysis to evaluate the benefit among these CHIs. METHODS: According to the retrieval strategies, randomized controlled trials (RCTs) on CHI therapies for ACI will be obtained from China National Knowledge Infrastructure, WanFang, Chinese Scientific Journals Database, PubMed, Embase and Cochrane Library, regardless of publication date or language. Studies were screened based on inclusion and exclusion criteria, and the Cochrane risk bias assessment tool will be used to evaluate the quality of the literature. The network meta-analysis will be performed in Markov Chain Monte Carlo method and carried out with Stata 14 and WinBUGS 1.4.3 software. Ultimately, the evidentiary grade for the results will be evaluated. RESULTS: This study will compare the efficacy and safety of CHIs in the treatment of ACI, and give a more reasonable choice. CONCLUSION: Our findings will provide references for future clinical decision and guidance developing. INPLASY registration number: INPLASY202060087. Wolters Kluwer Health 2020-08-07 /pmc/articles/PMC7592989/ /pubmed/32769909 http://dx.doi.org/10.1097/MD.0000000000021584 Text en Copyright © 2020 the Author(s). Published by Wolters Kluwer Health, Inc. http://creativecommons.org/licenses/by/4.0 This is an open access article distributed under the Creative Commons Attribution License 4.0 (CCBY), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. http://creativecommons.org/licenses/by/4.0
spellingShingle 3800
Li, Runmin
Li, Ying
Li, Bingchen
Sun, Haiyang
Liu, Xinyu
Ge, Xin
Liu, Yuanxiang
Yang, Jiguo
Effectiveness comparisons of different Chinese herbal injection therapies for acute cerebral infarction: A protocol for systematic review and network meta-analysis
title Effectiveness comparisons of different Chinese herbal injection therapies for acute cerebral infarction: A protocol for systematic review and network meta-analysis
title_full Effectiveness comparisons of different Chinese herbal injection therapies for acute cerebral infarction: A protocol for systematic review and network meta-analysis
title_fullStr Effectiveness comparisons of different Chinese herbal injection therapies for acute cerebral infarction: A protocol for systematic review and network meta-analysis
title_full_unstemmed Effectiveness comparisons of different Chinese herbal injection therapies for acute cerebral infarction: A protocol for systematic review and network meta-analysis
title_short Effectiveness comparisons of different Chinese herbal injection therapies for acute cerebral infarction: A protocol for systematic review and network meta-analysis
title_sort effectiveness comparisons of different chinese herbal injection therapies for acute cerebral infarction: a protocol for systematic review and network meta-analysis
topic 3800
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7592989/
https://www.ncbi.nlm.nih.gov/pubmed/32769909
http://dx.doi.org/10.1097/MD.0000000000021584
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