Meta-analysis of the clinical efficacy of compound α-ketoacid tablets combined with low-protein diet in diabetic kidney disease
10.3760/cma.j.cn115822-20220902-00179
- VernacularTitle:α-酮酸片联合低蛋白饮食治疗糖尿病肾脏病临床疗效的Meta分析
- Author:
Lingyan CAO
1
;
Huachen ZHONG
;
Danqing BI
;
Jiamin HE
;
Changyan LI
;
Wenxing FAN
Author Information
1. 昆明医科大学第一附属医院肾脏内科 650032
- Keywords:
Diabetic kidney disease;
Compound alpha-ketoacid tablets;
Low-protein diet;
Clinical efficacy;
Meta-analysis
- From:
Chinese Journal of Clinical Nutrition
2023;31(3):161-171
- CountryChina
- Language:Chinese
-
Abstract:
Objective:To systematically evaluate the clinical efficacy of compound α-ketoacid tablets in the treatment of diabetic kidney disease (DKD).Methods:CNKI, Wanfang database, EMBASE, PubMed and Cochrane Library database were searched for eligible records published from the establishment of individual database to November 13 th, 2022. The quality of the included studies were assessed, data were extracted, and meta-analysis was conducted using RevMan5.3. Results:A total of 26 randomized controlled trials were included, with a total of 2 790 DKD patients (1 465 in the experimental group and 1 325 in the control group). Multiple parameters were significantly improved in the experimental group compared with the control group, including 24-hour urinary protein, blood creatinine, urea nitrogen, nutritional index, oxidative stress level, fasting blood glucose, glycated hemoglobin, homocysteine, HGF, VEGF, TGF-β1, and systolic blood pressure.Conclusions:Limited low-quality evidence showed that compound α-ketoacid tablets combined with low-protein diet may be related to the improved 24-hour urinary protein, renal function, and glucose metabolism in patients with DKD. Due to the lack of randomized controlled trials designed for respective stages of DKD, the inclusion criteria of our study were relatively general, possibly leading to the lack of pertinence of the results. Some indicators showed apparent heterogeneity among different groups, and more high-quality multi-center studies with large sample sizes are still needed to verify our findings.
