Traditional Chinese medicine Qushi Huatan Formula for treatment of hyperlipidemia: Protocol for a systematic review and meta-analysis

Background: Hyperlipidemia, a clinically common chronic disease, is increasingly posing a significant health risk worldwide. Statins are widely used medications for managing lipid levels in clinical settings. However, recent studies have found that relying solely on Western medicine has limitations, including prolonged treatment duration, susceptibility to drug resistance, and potential side effects. Traditional Chinese medicine (TCM) has gained more recognition for its healing properties and potential for the future. Currently, numerous research studies have been conducted to evaluate the effectiveness of TCM decoction in treating hyperlipidemia associated with the Qushi Huatan Formula (QHF). However, the findings from these studies have not shown complete consistency, and no pertinent meta-analysis is available. Therefore, we will conduct a meta-analysis to evaluate the efficacy and safety of QHF in treating hyperlipidemia, to provide evidence-based medical support for clinical treatment. Methods: This systematic review and meta-analysis will follow the Preferred Reporting Items for Systematic Reviews and Meta-Analysis: The PRISMA Statement. According to the predefined inclusion criteria, we will conduct a comprehensive search for randomized controlled trials examining the effectiveness and safety of QHF in treating hyperlipidemia. The search will be performed across multiple databases including China National Knowledge Infrastructure, WanFang, Sinomed, VIP, Duxiu, Scopus, PubMed, Embase, Google Scholar, Cochrane, and Web of Science from inception to February 2025. Additionally, relevant literature references will be retrieved and hand searching of pertinent journals will be conducted. Two independent reviewers will perform screening, data extraction, and quality assessment. Our reviewers will perform subgroup analysis, sensitivity analysis, and publication bias analysis to evaluate the heterogeneity and robustness. Review Manager 5.4 will be applied in analyzing and synthesizing. The Grading of Recommendations Assessment, Development and Evaluation will be used to assess the quality of evidence for the whole study. Results: We will compile and discuss the recent examples of the TCM QHF therapy for hyperlipidemia. Conclusion: The results of this research will offer a strong evidence-driven foundation for the logical and accurate use of QHF therapy in treating hyperlipidemia.

Authors

Institutions

Publication Details

Journal
Medicine Case Reports and Study Protocols
Published
2025-07-18
DOI
https://doi.org/10.1097/md9.0000000000000370
Citations
1
Primary Topic
Lipoproteins and Cardiovascular Health
Type
article
Field-Weighted Citation Impact
2.01
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Traditional Chinese medicine Qushi Huatan Formula for treatment of hyperlipidemia: Protocol for a systematic review and meta-analysis

Xiongfeng Huang, Weiwei Chen, Tianfu Yang, Weijuan Li
1 citations
Medicine Case Reports and Study Protocols
Lipoproteins and Cardiovascular Health
2.01
article

Traditional Chinese medicine Qushi Huatan Formula for treatment of hyperlipidemia: Protocol for a systematic review and meta-analysis

Xiongfeng Huang, Weiwei Chen, Tianfu Yang, Weijuan Li
article en
1 citations

Abstract

Background: Hyperlipidemia, a clinically common chronic disease, is increasingly posing a significant health risk worldwide. Statins are widely used medications for managing lipid levels in clinical settings. However, recent studies have found that relying solely on Western medicine has limitations, including prolonged treatment duration, susceptibility to drug resistance, and potential side effects. Traditional Chinese medicine (TCM) has gained more recognition for its healing properties and potential for the future. Currently, numerous research studies have been conducted to evaluate the effectiveness of TCM decoction in treating hyperlipidemia associated with the Qushi Huatan Formula (QHF). However, the findings from these studies have not shown complete consistency, and no pertinent meta-analysis is available. Therefore, we will conduct a meta-analysis to evaluate the efficacy and safety of QHF in treating hyperlipidemia, to provide evidence-based medical support for clinical treatment. Methods: This systematic review and meta-analysis will follow the Preferred Reporting Items for Systematic Reviews and Meta-Analysis: The PRISMA Statement. According to the predefined inclusion criteria, we will conduct a comprehensive search for randomized controlled trials examining the effectiveness and safety of QHF in treating hyperlipidemia. The search will be performed across multiple databases including China National Knowledge Infrastructure, WanFang, Sinomed, VIP, Duxiu, Scopus, PubMed, Embase, Google Scholar, Cochrane, and Web of Science from inception to February 2025. Additionally, relevant literature references will be retrieved and hand searching of pertinent journals will be conducted. Two independent reviewers will perform screening, data extraction, and quality assessment. Our reviewers will perform subgroup analysis, sensitivity analysis, and publication bias analysis to evaluate the heterogeneity and robustness. Review Manager 5.4 will be applied in analyzing and synthesizing. The Grading of Recommendations Assessment, Development and Evaluation will be used to assess the quality of evidence for the whole study. Results: We will compile and discuss the recent examples of the TCM QHF therapy for hyperlipidemia. Conclusion: The results of this research will offer a strong evidence-driven foundation for the logical and accurate use of QHF therapy in treating hyperlipidemia.

Medicine Case Reports and Study ProtocolsVol. 6(4)
Jiangxi University of Traditional Chinese Medicine (CN), Fujian Jiangxia University (CN), Fujian Provincial People's Hospital (CN), Fuzhou University (CN)
Industry, innovation and infrastructure
Openalex Percentile: Top 13%
Lipoproteins and Cardiovascular Health
2.01
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.