• Medicine · Jan 2021

    Meta Analysis

    Complementary and alternative therapies for non-alcoholic fatty liver disease: A Bayesian network meta-analysis protocol.

    • Tiefeng Zhang, Duan Han, Tianqi Zhang, Cai Jing, and Jianguang Sun.
    • First College of Clinical Medicine, Shandong University of Traditional Chinese Medicine.
    • Medicine (Baltimore). 2021 Jan 29; 100 (4): e24432e24432.

    BackgroundNon-alcoholic fatty liver disease (NAFLD) has become a global pandemic, and its incidence is increasing year by year. At present, there are no definite curative drugs for the treatment of NAFLD in modern medicine. Surprisingly, complementary and alternative therapies play an important role and have special advantages. In this study, we will adopt Bayesian network meta-analysis (NMA) to evaluate the efficiency and safety of complementary therapy and alternative therapies for NAFLD.MethodsWe will collect randomized controlled trials (RCTs) related to the treatment of NAFLD in PubMed, Cochrane Library, CNKI, and other databases. Two reviewers will screen the literature and extract data in line with the inclusion and exclusion criteria, and then assess the risk of bias according to Cochrane risk of bias assessment tool. The Bayesian NMA will be performed by Stata16.0 and WinBUGS1.4.3.ResultsOur study will compare and rank the efficacy and safety of diverse complementary and alternative therapies for NAFLD.ConclusionThis study can provide credible evidence for the efficacy and safety of complementary therapies and alternative therapies in the treatment of NAFLD. We expect to assist clinicians and patients to choose the optimal therapeutic regimen.Protocol Registration NumberINPLASY2020120136.Copyright © 2021 the Author(s). Published by Wolters Kluwer Health, Inc.

      Pubmed     Free full text   Copy Citation     Plaintext  

      Add institutional full text...

    Notes

     
    Knowledge, pearl, summary or comment to share?
    300 characters remaining
    help        
    You can also include formatting, links, images and footnotes in your notes
    • Simple formatting can be added to notes, such as *italics*, _underline_ or **bold**.
    • Superscript can be denoted by <sup>text</sup> and subscript <sub>text</sub>.
    • Numbered or bulleted lists can be created using either numbered lines 1. 2. 3., hyphens - or asterisks *.
    • Links can be included with: [my link to pubmed](http://pubmed.com)
    • Images can be included with: ![alt text](https://bestmedicaljournal.com/study_graph.jpg "Image Title Text")
    • For footnotes use [^1](This is a footnote.) inline.
    • Or use an inline reference [^1] to refer to a longer footnote elseweher in the document [^1]: This is a long footnote..

    hide…