Meta-analysis of the correlation between diabetic nephropathy and inflammatory response based on Shenqi Dihuang Decoction

التفاصيل البيبلوغرافية
العنوان: Meta-analysis of the correlation between diabetic nephropathy and inflammatory response based on Shenqi Dihuang Decoction
المؤلفون: Yan-Li Huang, Zheng-Feng Li
المصدر: Journal of Hainan Medical University, Vol 26, Iss 19, Pp 61-67 (2020)
بيانات النشر: Editorial Board of Journal of Hainan Medical University, 2020.
سنة النشر: 2020
مصطلحات موضوعية: shenqi dihuang decoction, diabetic nephropathy, lcsh:R, lcsh:Medicine, inflammatory response, meta analysis
الوصف: Objective: A meta-analysis was used to systematically study the correlation between inflammatory response and diabetic nephropathy based on Shenqi Dihuang Decoction. Methods: The RCT literatures related to the efficacy and inflammatory response of Shenqi Dihuang Decoction in the treatment of diabetic nephropathy in Chinese and English databases were searched. The time limit was from the establishment of the database to February 2020. Literature screening and data extraction were performed according to the criteria for inclusion and exclusion. The evaluator's manual 5.1.0 was used to evaluate the risk of bias in the final included literature. Meta-analysis was performed using RevMan 5.3 software. Comparing western medicine treatment and Shenqi Dihuang decoction to inflammatory factors: interleukin-6 (IL-6) Interleukin-8 (IL-8), tumor necrosis factor-毩(TNF-毩), C-reactive protein (CRP), intercellular adhesion molecule-1 (MCP-1), and monocyte chemotactic protein-1 (ICAM-1) and efficacy indicators: the impact of urine microalbumin (mALB) and clinical efficacy. Results: A total of 11 related research reports were finally included, of which 9 evaluated IL-6 [SMD = -1.09, 95% CI (-1.57, -0.61),Z=4.43, P
اللغة: English
تدمد: 1007-1237
URL الوصول: https://explore.openaire.eu/search/publication?articleId=doajarticles::3023d0648eb2da06283a91f67344b8e3
http://www.hnykdxxb.com/PDF/202019/11.pdf
حقوق: OPEN
رقم الأكسشن: edsair.doajarticles..3023d0648eb2da06283a91f67344b8e3
قاعدة البيانات: OpenAIRE