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Acupuncture for mammary gland hyperplasia: A Bayesian network meta-analysis protocol
BACKGROUND: Multiple randomized controlled trials have shown that acupuncture (ACU) work well in the treating mammary gland hyperplasia, which has been widely used in hospitals of China. Although the choices of ACU treatments varies in practice, most are based on experience or preference. Therefore,...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Lippincott Williams & Wilkins
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7478577/ https://www.ncbi.nlm.nih.gov/pubmed/32899068 http://dx.doi.org/10.1097/MD.0000000000022055 |
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author | Xiong, Jun Li, Honglian Hua, Fanghui Huang, Shouqiang Xiang, Jie Jiang, Yunfeng Liao, Kai Zhou, Xiaohong Liu, Meihua |
author_facet | Xiong, Jun Li, Honglian Hua, Fanghui Huang, Shouqiang Xiang, Jie Jiang, Yunfeng Liao, Kai Zhou, Xiaohong Liu, Meihua |
author_sort | Xiong, Jun |
collection | PubMed |
description | BACKGROUND: Multiple randomized controlled trials have shown that acupuncture (ACU) work well in the treating mammary gland hyperplasia, which has been widely used in hospitals of China. Although the choices of ACU treatments varies in practice, most are based on experience or preference. Therefore, we outline a plan to assess and rank the efficacy of the various ACU methods to formulate a prioritized regimen for mammary gland hyperplasia in ACU therapy. METHODS: We will make a comprehensive retrieval in 7 databases as following: PubMed, Embase, Cochrane Library, China BioMedical Literature, China National Knowledge Infrastructure, Chinese Scientific Journals Database, and Wanfang database. The time is limited from the construction of the library to June 2020. We will evaluate the quality and the evidence of the included randomized controlled trials by the risk of bias tool and grading of recommendations assessment, development and evaluation, respectively. Bayesian network meta-analysis will be conducted using Stata16.0 and WinBUGS V.1.4.3. RESULTS: The results of this study will be published in a peer-reviewed journal. CONCLUSIONS: Our study is expected to provide high-quality, evidence-based recommendations on further treatment of MGH for clinicians. REGISTRATION: PROSPERO (registration number CRD42020158743). |
format | Online Article Text |
id | pubmed-7478577 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Lippincott Williams & Wilkins |
record_format | MEDLINE/PubMed |
spelling | pubmed-74785772020-09-24 Acupuncture for mammary gland hyperplasia: A Bayesian network meta-analysis protocol Xiong, Jun Li, Honglian Hua, Fanghui Huang, Shouqiang Xiang, Jie Jiang, Yunfeng Liao, Kai Zhou, Xiaohong Liu, Meihua Medicine (Baltimore) 5600 BACKGROUND: Multiple randomized controlled trials have shown that acupuncture (ACU) work well in the treating mammary gland hyperplasia, which has been widely used in hospitals of China. Although the choices of ACU treatments varies in practice, most are based on experience or preference. Therefore, we outline a plan to assess and rank the efficacy of the various ACU methods to formulate a prioritized regimen for mammary gland hyperplasia in ACU therapy. METHODS: We will make a comprehensive retrieval in 7 databases as following: PubMed, Embase, Cochrane Library, China BioMedical Literature, China National Knowledge Infrastructure, Chinese Scientific Journals Database, and Wanfang database. The time is limited from the construction of the library to June 2020. We will evaluate the quality and the evidence of the included randomized controlled trials by the risk of bias tool and grading of recommendations assessment, development and evaluation, respectively. Bayesian network meta-analysis will be conducted using Stata16.0 and WinBUGS V.1.4.3. RESULTS: The results of this study will be published in a peer-reviewed journal. CONCLUSIONS: Our study is expected to provide high-quality, evidence-based recommendations on further treatment of MGH for clinicians. REGISTRATION: PROSPERO (registration number CRD42020158743). Lippincott Williams & Wilkins 2020-09-04 /pmc/articles/PMC7478577/ /pubmed/32899068 http://dx.doi.org/10.1097/MD.0000000000022055 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 | 5600 Xiong, Jun Li, Honglian Hua, Fanghui Huang, Shouqiang Xiang, Jie Jiang, Yunfeng Liao, Kai Zhou, Xiaohong Liu, Meihua Acupuncture for mammary gland hyperplasia: A Bayesian network meta-analysis protocol |
title | Acupuncture for mammary gland hyperplasia: A Bayesian network meta-analysis protocol |
title_full | Acupuncture for mammary gland hyperplasia: A Bayesian network meta-analysis protocol |
title_fullStr | Acupuncture for mammary gland hyperplasia: A Bayesian network meta-analysis protocol |
title_full_unstemmed | Acupuncture for mammary gland hyperplasia: A Bayesian network meta-analysis protocol |
title_short | Acupuncture for mammary gland hyperplasia: A Bayesian network meta-analysis protocol |
title_sort | acupuncture for mammary gland hyperplasia: a bayesian network meta-analysis protocol |
topic | 5600 |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7478577/ https://www.ncbi.nlm.nih.gov/pubmed/32899068 http://dx.doi.org/10.1097/MD.0000000000022055 |
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