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Complementary and alternative therapies for non-alcoholic fatty liver disease: A Bayesian network meta-analysis
Tiefeng Zhang1,2, Duan Han2, Tianqi Zhang1
1First College of Clinical Medicine, Shandong University of Traditional Chinese Medicine.
This study evaluates complementary and alternative therapies for non-alcoholic fatty liver disease (NAFLD) using Bayesian network meta-analysis. It aims to identify the most effective and safest treatments for this growing global health concern.
Area of Science:
- Hepatology
- Evidence-based medicine
- Integrative medicine
Background:
- Non-alcoholic fatty liver disease (NAFLD) is a global pandemic with increasing incidence.
- Current medical treatments for NAFLD lack definitive cures.
- Complementary and alternative therapies offer potential advantages for NAFLD management.
Purpose of the Study:
- To systematically evaluate the efficacy and safety of various complementary and alternative therapies for NAFLD.
- To provide a comparative analysis of different treatment options.
- To inform clinical decision-making and patient choices for NAFLD treatment.
Main Methods:
- Bayesian network meta-analysis (NMA) will be employed.
- Randomized controlled trials (RCTs) will be systematically searched in major databases (PubMed, Cochrane Library, CNKI).
- Data extraction and risk of bias assessment will be conducted by two independent reviewers.
Main Results:
- The study will compare and rank the efficacy of diverse complementary and alternative therapies for NAFLD.
- The safety profiles of these therapies will also be assessed.
- Rankings will be provided for both effectiveness and safety.
Conclusions:
- This NMA will offer credible evidence on the efficacy and safety of complementary and alternative therapies for NAFLD.
- Findings are expected to guide clinicians and patients in selecting optimal therapeutic strategies.
- The study contributes to evidence-based practice in NAFLD management.
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