Abstract:Objective To analyze the medication rules of traditional Chinese medicine in treating diabetic neurogenic bladder based on data mining. Methods All relevant prescriptions were searched on CNKI, Wanfang, VIP, SinoMed from the databases establishment to March 2020, those met the criteria were transferred to the traditional Chinese medicine inheritance support platform (V2.5). The frequency of drug use, four qi and five flavor, meridian tropism were statistically analyzed. Results A total of 226 prescriptions were screened out. The tastes of the medicine were mainly sweet, bitter and pungent, and the properties of the medicine were mostly warm and cold, followed by mild. Kidney and bladder was the first in zang and fu about meridian tropism respectively. Milkvetch root, Indian bread and Oriental waterplantain rhizome were the most frequently used. Five new prescriptions were obtained by association rules and cluster analysis. Conclusion This disease is located in the bladder, and is closely related to the kidney. The treatment should focus on the recovery of bladder gasification. The core of the prescriptions is Jingui Shenqi Pills or Wuling Powder.
刘昭文 姚羽 于慧兰 马儒 宋竖旗. 基于数据挖掘分析中药治疗糖尿病神经源性膀胱的用药规律[J]. 中国医药导报, 2021, 18(12): 174-177.
LIU Zhaowen YAO Yu YU Huilan MA Ru SONG Shuqi. Analysis on medication rules of traditional Chinese medicine in treating diabetic neurogenic bladder based on data mining. 中国医药导报, 2021, 18(12): 174-177.