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Efficacy and safety of Zhibitai in treating coronary heart disease patients with hyperlipemia: A protocol for systematic review and meta-analysis

OBJECTIVE: : To assess the clinical efficacy and safety of Zhibitai, as a kind of natural lipid-lowering Chinese medicine, in treating coronary heart disease patients with hyperlipemia METHODS: : A systematic literature search for articles up to July 2020 will be performed in following electronic da...

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Autores principales: Chen, Mingtai, Li, Ying, Men, Ling, Zhang, Zhong, Zhong, Xiaoling, Yang, Shudong, Luan, Jienan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Lippincott Williams & Wilkins 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7478416/
https://www.ncbi.nlm.nih.gov/pubmed/32899044
http://dx.doi.org/10.1097/MD.0000000000021991
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author Chen, Mingtai
Li, Ying
Men, Ling
Zhang, Zhong
Zhong, Xiaoling
Yang, Shudong
Luan, Jienan
author_facet Chen, Mingtai
Li, Ying
Men, Ling
Zhang, Zhong
Zhong, Xiaoling
Yang, Shudong
Luan, Jienan
author_sort Chen, Mingtai
collection PubMed
description OBJECTIVE: : To assess the clinical efficacy and safety of Zhibitai, as a kind of natural lipid-lowering Chinese medicine, in treating coronary heart disease patients with hyperlipemia METHODS: : A systematic literature search for articles up to July 2020 will be performed in following electronic databases: PubMed, Embase, the Cochrane Library, China National Knowledge Infrastructure, Chinese Scientific Journals Database Database, Chinese Biomedical Database, Chinese Biomedical Literature Service System, and Wanfang Database. Inclusion criteria are randomized controlled trials of Zhibitai applied on coronary heart disease patients with hyperlipemia. The primary outcome measures will be serum lipid levels (including total cholesterol, triglyceride, low-density lipoprotein cholesterol, and high-density lipoprotein cholesterol) and acute cardiovascular events. The secondary outcome measures will be inflammatory factors (high sensitive C-reactive protein, interleukin-6, etc), safety index (liver function, renal function, etc), and adverse events. RevMan 5.3 software will be used for data synthesis, sensitivity analysis, meta-regression, subgroup analysis, and risk of bias assessment. A funnel plot will be developed to evaluate reporting bias and Egger tests will be used to assess funnel plot symmetries. We will use the grading of recommendations assessment, development, and evaluation system to assess the quality of evidence. Trial registration number PROSPERO CRD42018103341.
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spelling pubmed-74784162020-09-16 Efficacy and safety of Zhibitai in treating coronary heart disease patients with hyperlipemia: A protocol for systematic review and meta-analysis Chen, Mingtai Li, Ying Men, Ling Zhang, Zhong Zhong, Xiaoling Yang, Shudong Luan, Jienan Medicine (Baltimore) 3400 OBJECTIVE: : To assess the clinical efficacy and safety of Zhibitai, as a kind of natural lipid-lowering Chinese medicine, in treating coronary heart disease patients with hyperlipemia METHODS: : A systematic literature search for articles up to July 2020 will be performed in following electronic databases: PubMed, Embase, the Cochrane Library, China National Knowledge Infrastructure, Chinese Scientific Journals Database Database, Chinese Biomedical Database, Chinese Biomedical Literature Service System, and Wanfang Database. Inclusion criteria are randomized controlled trials of Zhibitai applied on coronary heart disease patients with hyperlipemia. The primary outcome measures will be serum lipid levels (including total cholesterol, triglyceride, low-density lipoprotein cholesterol, and high-density lipoprotein cholesterol) and acute cardiovascular events. The secondary outcome measures will be inflammatory factors (high sensitive C-reactive protein, interleukin-6, etc), safety index (liver function, renal function, etc), and adverse events. RevMan 5.3 software will be used for data synthesis, sensitivity analysis, meta-regression, subgroup analysis, and risk of bias assessment. A funnel plot will be developed to evaluate reporting bias and Egger tests will be used to assess funnel plot symmetries. We will use the grading of recommendations assessment, development, and evaluation system to assess the quality of evidence. Trial registration number PROSPERO CRD42018103341. Lippincott Williams & Wilkins 2020-09-04 /pmc/articles/PMC7478416/ /pubmed/32899044 http://dx.doi.org/10.1097/MD.0000000000021991 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 3400
Chen, Mingtai
Li, Ying
Men, Ling
Zhang, Zhong
Zhong, Xiaoling
Yang, Shudong
Luan, Jienan
Efficacy and safety of Zhibitai in treating coronary heart disease patients with hyperlipemia: A protocol for systematic review and meta-analysis
title Efficacy and safety of Zhibitai in treating coronary heart disease patients with hyperlipemia: A protocol for systematic review and meta-analysis
title_full Efficacy and safety of Zhibitai in treating coronary heart disease patients with hyperlipemia: A protocol for systematic review and meta-analysis
title_fullStr Efficacy and safety of Zhibitai in treating coronary heart disease patients with hyperlipemia: A protocol for systematic review and meta-analysis
title_full_unstemmed Efficacy and safety of Zhibitai in treating coronary heart disease patients with hyperlipemia: A protocol for systematic review and meta-analysis
title_short Efficacy and safety of Zhibitai in treating coronary heart disease patients with hyperlipemia: A protocol for systematic review and meta-analysis
title_sort efficacy and safety of zhibitai in treating coronary heart disease patients with hyperlipemia: a protocol for systematic review and meta-analysis
topic 3400
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7478416/
https://www.ncbi.nlm.nih.gov/pubmed/32899044
http://dx.doi.org/10.1097/MD.0000000000021991
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