通讯作者: 刘福蓉, 2445498830@qq.com

DOI：10.12201/bmr.202504.00049

Medication patterns of traditional Chinese medicine in the treatment of radiotherapy-induced oral mucositis:A study based on data mining

• 摘要：目的：基于回顾性分析和数据挖掘，研究中药复方内服治疗放射性口腔黏膜炎（radiotherapy-induced oral mucositis, RIOM）的用药规律和特点，并得到相应的新药（方）组合，为临床诊疗提供参考。方法：系统检索中国知网、维普、万方等数据库，纳入中医药治疗RIOM相关文献，筛选建立药（方）数据库，运用Excel 2010、SPSS Modeler 18.0、Origin 2018软件进行高频药物统计、关联规则、系统聚类、复杂网络分析。结果：共筛选出70首处方，涉及中药154味，其中出现频次≥12的有16味药，频次排名前10位为麦冬、地黄、甘草、玄参、金银花、北沙参、连翘、桔梗、太子参、茯苓；四气以寒为主，五味以甘、苦为主；归经以肺、胃、心经居多；关联规则分析得到10个药对，系统聚类得到5个新药组合，复杂网络分析结果与系统聚类基本一致。结论：中药内服治疗RIOM以清热解毒、益气养阴为主，兼顾生津、活血化瘀、宣散透邪等。数据挖掘得到的新药（方）组合，以“麦冬、北沙参、玉竹、石斛、天冬、金银花、连翘、甘草”等为代表，对临床用药有较好参考价值。

  关键词： 放射性口腔黏膜炎；中医药；回顾性分析；数据挖掘；用药规律; ; ; ; 

   

  Abstract: Objective: Based on retrospective analysis and data mining , this study investigates the medication patterns and characteristics of traditional Chinese medicine (TCM) in the treatment of radiation-induced oral mucositis (RIOM). Methods: Relevant literature on TCM treatment of RIOM was retrieved from databases such as the China National Knowledge Infrastructure (CNKI) since their establishment, after which a prescription database was screened and constructed. Excel2010, SPSS Modeler18.0, and Origin2018 software were used to perform statistical analysis of high-frequency drugs, association rules, systematic clustering. Results: A total of 70 prescriptions involving 154 herbs were selected. There are 16 medicines with a frequency≥12, and the top 10 medicines with a frequency are: Ophiopogonis Radix、Rehmanniae Radix、Glycyrrhizae Radix et Rhizoma、Scrophulariae Radix、Lonicerae Japonicae Flos、Glehniae Radix、Forsythiae Fructus、Platycodonis Radix、Pseudostellariae Radix and Poria. The four qi were predominatly cold, while the five flavors were mainly sweet and bitter. The meridians are most concentrated in the lung, stomach, and heart. 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: TCM treatment for RIOM mainly focuses on clearing heat and detoxification, replenishing qi and nourishing yin, while also addressing fluid generation, activating blood circulation and resolving stasis, and dispersing pathogenic factors. The new formulas obtained from data mining , such as Ophiopogonis Radix、Glehniae Radix、Polygonati Odorati Rhizoma、Dendrobii Caulis、Asparagi Radix、Lonicerae Japonicae Flos、Forsythiae Fructus and Glycyrrhizae Radix et Rhizoma，can provide good clinical reference.

  Key words: radiation-induced oral mucositis; Traditional Chinese Medicine; retrospective analysis; data mining; medicine patterns

  提交时间：2025-04-16

  版权声明：作者本人独立拥有该论文的版权，预印本系统仅拥有论文的永久保存权利。任何人未经允许不得重复使用。
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• 序号	提交日期	编号	操作
  1	2025-03-24	10.12201/bmr.202504.00049V1	下载

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