• Medicine · Dec 2020

    Meta Analysis

    Clinical assessment of synbiotics for treating chronic kidney disease: A protocol for systematic review and meta-analysis.

    • Xiao-Jun Li, Yan-Yan Lu, and Yuan Wang.
    • Department of Nephrology, The Second Affiliated Hospital of Dalian Medical University, Dalian, Liaoning, P.R. China.
    • Medicine (Baltimore). 2020 Dec 4; 99 (49): e22993e22993.

    BackgroundThis research aims to evaluate the efficacy and safety of synbiotics for treating chronic kidney disease.MethodsRelated articles written in English were sourced from EMBASE, PubMed, Cochrane Library, and China National Knowledge Infrastructure. These articles were used in the evaluation of the effect of synbiotics for treating chronic kidney disease. The extent of the relationship was assessed by calculating the pooled risk ratio, mean differences or standardized mean difference along with the equivalent 95% confidence intervals. The risk of bias introduced through each study was considered by adopting the Cochrane Risk of Bias Tool. Suitable statistical research methods were utilized for the synthesis of the data. The RevMan 5.3 software was used to conduct all statistical analysis.ResultsThe final results of the current study is due to be included in a peer-reviewed journal.ConclusionThe final remarks of the current study will be useful evidence for determining whether synbiotics is an effective and safe therapeutic method for treating chronic kidney disease.Osf Registration NumberDOI 10.17605/OSF.IO/UASF4 (https://osf.io/uasf4/).

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