Analysis of the medication patterns of traditional Chinese medicine in treatment of radiotherapy-induced oral mucositis
10.3969/j.issn.1673-9701.2025.19.017
- VernacularTitle:中医药治疗放射性口腔黏膜炎的用药规律分析
- Author:
Yongzhen LIU
1
;
Ling WANG
1
;
Furong LIU
1
Author Information
1. 西南医科大学附属中医医院肿瘤血液病科,四川泸州 646000
- Publication Type:Journal Article
- Keywords:
Radiotherapy-induced oral mucositis;
Traditional Chinese medicine;
Data mining;
Medication patterns
- From:
China Modern Doctor
2025;63(19):81-84,91
- CountryChina
- Language:Chinese
-
Abstract:
Objective Based on data mining,the medication patterns and characteristics of traditional Chinese medicine compound in treatment of radiotherapy-induced oral mucositis(RIOM)were studied to provide references for clinical diagnosis and treatment.Methods Search for relevant literatures on the intervention of traditional Chinese medicine in RIOM published in databases such as CNKI,VIP,and Wanfang Data Knowledge Service Platform from their establishment to December 6,2024.High-frequency drug statistics,association rules,systematic clustering and complex network analysis were conducted using Excel 2010,SPSS Modeler 18.0 and Origin 2024 software.Results A total of 70 prescriptions involving 154 herbs were selected.There were 16 herbs with a frequency≥ 12,and the top 10 were Maidong,Shengdihuang,Shenggancao,Xuanshen,Jinyinhua,Beishashen,Lianqiao,Jiegeng,Taizishen,Fuling.The four qi were mainly cold,while the five flavors were mainly sweet and bitter.The channel tropism were most concentrated in lung meridian,stomach meridian,and heart meridian.Association rule analysis identified 10 commonly used drug pairs,systematic clustering yielded 5 novel drug combinations,and complex network analysis results were consistent with systematic clustering.Conclusion Traditional Chinese medicine treatment for RIOM mainly focuses on clearing heat and removing toxicity,supplement qi and nourish yin,while also promoting production of fluid,promoting blood circulation for removing blood stasis,and dispersing pathogenic factors.The new formulas obtained from data mining,such as Maidong,Beishashen,Yuzhu,Shihu,Tiandong,Jinyinhua,Lianqiao,Shenggancao,can provide good clinical reference.
