[1]王阳,仰艳,万宇,等.基于专家意见及数据挖掘分析继发性痛经中成药用药规律[J].西部中医药,2024,37(06):69-73.[doi:10.12174/j.issn.2096-9600.2024.06.17]
　WANG Yang,YANG Yan,WAN Yu,et al.Medication Regularity of Chinese Patent Drug for Secondary Dysmenorrhea Based on Expert Opinion and Data Mining[J].Western Journal of Traditional Chinese Medicine,2024,37(06):69-73.[doi:10.12174/j.issn.2096-9600.2024.06.17]
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基于专家意见及数据挖掘分析继发性痛经中成药用药规律
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《西部中医药》[ISSN:2096-9600/CN:62-1204/R]

卷:
37
期数:
2024年06期
页码:
69-73
栏目:
二次研究
出版日期:
2024-06-15

文章信息/Info

Title:
Medication Regularity of Chinese Patent Drug for Secondary Dysmenorrhea Based on Expert Opinion and Data Mining
作者:
王阳1,2, 仰艳3, 万宇1, 于妍妍3, 邢玉3, 刘艳霞3
1.北京中医药大学，北京 100029
2.首都医科大学附属北京妇产医院/北京妇幼保健院，北京 100026
3.北京中医药大学东方医院，北京 100078
Author(s):
WANG Yang1,2, YANG Yan3, WAN Yu1, YU Yanyan3, XING Yu3, LIU Yanxia3
1.Beijing University of Chinese Medicine, Beijing 100029, China
2.Beijing Obstetrics and Gynecology Hospital, Capital Medical University/Beijing Maternal and Child Health Care Hospital, Beijing 100026, China
3.Dongfang Hospital of Beijing Unive
关键词:
继发性痛经; 数据挖掘; 用药规律; 中成药
Keywords:
secondary dysmenorrhea; data mining; medication regularity; Chinese patent drugs
分类号:
R271.11+3
DOI:
10.12174/j.issn.2096-9600.2024.06.17
文献标志码:
B
摘要:
目的基于专家意见，通过数据挖掘的方式，分析疗效确切的中成药治疗继发性痛经的用药规律。 方法筛选2017版医保目录、2015版《中华人民共和国药典》中治疗痛经的药物，合并同一方剂不同剂型中成药，运用德尔菲法，对妇科专家以问卷调查的形式筛选出最常用、最推荐的治疗继发性痛经的中成药，并通过中医传承辅助平台探究治疗继发性痛经的中成药处方的用药规律、核心组合及关联规则，基于无监督的熵层次聚类推演出新方。 结果共筛选出中成
Abstract:
ObjectiveBased on expert opinion and data mining, to analyze the medication regularity of Chinese patent medicines with precise efficacy in the treatment of secondary dysmenorrhea. MethodsThe medicines for treating dysmenorrhea in the 2017 version of the medical insurance catalog and the 2015 version of the Pharmacopoeia of the People's Republic of China were screened, combining different forms of Chinese patent drugs of the same prescription, the Delphi method was used to screen out the most commonly used and recommended Chinese patent drugs for the treatment of secondary dysmenorrhea in the form of questionnaires, TCMISS was used to explore the medication laws, core combinations, and association rules of the Chinese patent drugs prescribed for treating secondary dysmenorrhea, to deduce a new formula based on unsupervised entropic hierarchical clustering. ResultsA total of 25 prescriptions for Chinese patent drugs were screened, involving 75 herbs, and the commonly used medicines were Yanhusuo (Corydalis rhizoma), Danggui (Angelicae sinensis radix), Xiangfu (Cyperi rhizoma), Chuanxiong (Chuanxiong rhizoma), Baishao (Paeoniae radix alba), Danshen (Salviae Miltiorrhizae radix rhizoma), Wulingzhi, safflower (Flos Carthami), Rougui (Cinnamomi cortex), and Shudihuang (Rehmanniae radix praeparata); they were mainly attributed to the liver and the spleen meridians; the commonly used drug combinations were the mutual combinations of Yanhusuo, Danggui and Chuanxiong as concluded from the association rules; and the further clustering analysis yielded eight potential core combinations and four new prescriptions. ConclusionThe Chinese patent drugs commonly used in clinical treatment of secondary dysmen-orrhea are mainly used to promote blood circulation and eliminate blood stasis, meanwhile and tonify blood, warm yang, and benefit Qi, so as to treat both the symptoms and the root cause, and the potential combinations of medicines and new formulas derived from the cluster analysis have certain theoretical value and representative-ness, which can provide references for clinical explorations and experimental researches.

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备注/Memo

备注/Memo:
王阳（1994—），女，博士学位，医师。研究方向：妇科生殖内分泌疾病的中医治疗。中国中药协会标准化项目（SATCM20170108BZ）。
更新日期/Last Update: 2024-06-15