Literature DB >> 24296085

Clinical trials of traditional Chinese medicine in the treatment of diabetic nephropathy--a systematic review based on a subgroup analysis.

Xiaoyu Liu1, Ling Liu1, Pinyi Chen1, Liang Zhou1, Yanqi Zhang1, Yazhou Wu1, Lei Jiang2, Dixiang Cheng3, Wenquan Huang2, Dong Yi4.   

Abstract

ETHNOPHARMACOLOGICAL RELEVANCE: The purpose of this study is to systematically evaluate the efficacy of traditional Chinese medicine (TCM) decoctions with different ingredients in the treatment of diabetic nephropathy (DN).
MATERIALS AND METHODS: Papers obtained after the retrieval of randomized controlled clinical trials (RCTs) of TCM treatments of diabetic nephropathy through online database (e.g. Medline, CBM, CNKI, VIP, the online database of Chinese medicine, CDFD, CMFD, and CENTRAL FROM Cochrane Library, etc.) as well as research data in our library. They were published between January 2001 and December 2012. According to the categories of the main TCM ingredients, all the cases in the literature were divided into a liver-kidney YIN deficiency group, a QI-BLOOD YIN-and-YANG deficiency group, and a spleen-kidney YANG deficiency group. Stata 11.0 was applied for subgroup analysis.
RESULTS: A total of 21 Chinese RCTs were included in this review. The Q values of the three groups were 13.18, 0.25 and 3.27, respectively, P>0.05, and thus, there was no clinical heterogeneity. The combined relative risk (RR) value and its 95% confidence interval were 1.48 (1.37, 1.60), 1.19 (1.06, 1.34), and 1.33 (1.19, 1.50), respectively, P<0.05.
CONCLUSIONS: Compared with the qi-blood yin-and-yang deficiency group and the spleen-kidney yang deficiency group, the liver-kidney yin deficiency group has better prospects in clinical application to ensure renal function during the treatment of DN, and this possibility is worthy of further study.
© 2013 Published by Elsevier Ireland Ltd.

Entities:  

Keywords:  CBM; CDMD; CNKI; Chinese academy of sciences database; Chinese biomedical literature database; Chinese doctoral dissertation full-text database; DN; Diabetic nephropathy; RCT; Subgroup meta-analysis; Systematic review; TCM; Traditional Chinese medicine; diabetic nephropathy; randomized controlled clinical trial; traditional Chinese medicine

Mesh:

Year:  2013        PMID: 24296085     DOI: 10.1016/j.jep.2013.11.028

Source DB:  PubMed          Journal:  J Ethnopharmacol        ISSN: 0378-8741            Impact factor:   4.360


  14 in total

1.  Clinical efficacy of 'Spleen-kidney-care' Yiqi Huayu and Jiangzhuo traditional Chinese medicine for the treatment of patients with diabetic nephropathy.

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Authors:  Abdelaziz Ghanemi; Besma Boubertakh
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3.  Yang Deficiency Body Constitution Acts as a Predictor of Diabetic Retinopathy in Patients with Type 2 Diabetes: Taichung Diabetic Body Constitution Study.

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5.  Jiangtang decoction ameliorate diabetic nephropathy through the regulation of PI3K/Akt-mediated NF-κB pathways in KK-Ay mice.

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Journal:  Evid Based Complement Alternat Med       Date:  2018-04-24       Impact factor: 2.629

Review 7.  Similarities between the Yin/Yang Doctrine and Hormesis in Toxicology and Pharmacology.

Authors:  Haoyu Sun; Edward J Calabrese; Zhifen Lin; Baoling Lian; Xiaoxian Zhang
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Authors:  Lei Xiang; Pingping Jiang; Lin Zhou; Xiaomin Sun; Jianlu Bi; Lijuan Cui; Xiaoli Nie; Ren Luo; Xiaoshan Zhao; Yanyan Liu
Journal:  Evid Based Complement Alternat Med       Date:  2016-06-08       Impact factor: 2.629

Review 9.  Diabetic Osteoporosis: A Review of Its Traditional Chinese Medicinal Use and Clinical and Preclinical Research.

Authors:  Rufeng Ma; Ruyuan Zhu; Lili Wang; Yubo Guo; Chenyue Liu; Haixia Liu; Fengwei Liu; Hongjun Li; Yu Li; Min Fu; Dongwei Zhang
Journal:  Evid Based Complement Alternat Med       Date:  2016-09-06       Impact factor: 2.629

10.  Benazepril hydrochloride improves diabetic nephropathy and decreases proteinuria by decreasing ANGPTL-4 expression.

Authors:  Lingyu Xue; Xiaoqing Feng; Chuanhai Wang; Xuebin Zhang; Wenqiang Sun; Kebo Yu
Journal:  BMC Nephrol       Date:  2017-10-04       Impact factor: 2.388

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