沈氏女科沈绍功诊治肺癌的用药规律研究

张晗; 李玉坤; 刘大胜; 王凤; 韩学杰

doi:10.3969/j.issn.2095-6606.2023.06.020

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沈氏女科沈绍功诊治肺癌的用药规律研究

文献研究 | 更新时间：2023-12-08

- 沈氏女科沈绍功诊治肺癌的用药规律研究
- Study on the medication rule of Professor Shen Shaogong in the diagnosis and treatment of lung cancer
- 现代中医临床 2023年30卷第6期页码：91-95
- 作者机构：
  
  1.中国中医科学院广安门医院老年科　北京　100053
  2.中国中医科学院中医临床基础医学研究所
- 作者简介：
  
  张晗，男，硕士，主治医师
  #韩学杰，女，博士，主任医师，硕士生导师，E-mail：xuejieh@126.com
- 基金信息：
  
  韩学杰全国老中医药专家传承工作室(Z0814)
- DOI：10.3969/j.issn.2095-6606.2023.06.020
  中图分类号： R273
- 纸质出版日期：2023-11-30，
  
  收稿日期：2022-09-16，
- 稿件说明：
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张晗, 李玉坤, 刘大胜, 等. 沈氏女科沈绍功诊治肺癌的用药规律研究[J]. 现代中医临床, 2023,30(6):91-95.

ZHANG Han, LI Yukun, LIU Dasheng, et al. Study on the medication rule of Professor Shen Shaogong in the diagnosis and treatment of lung cancer[J]. Modern Chinese Clinical Medicine, 2023,30(6):91-95.
张晗, 李玉坤, 刘大胜, 等. 沈氏女科沈绍功诊治肺癌的用药规律研究[J]. 现代中医临床, 2023,30(6):91-95. DOI： 10.3969/j.issn.2095-6606.2023.06.020.

ZHANG Han, LI Yukun, LIU Dasheng, et al. Study on the medication rule of Professor Shen Shaogong in the diagnosis and treatment of lung cancer[J]. Modern Chinese Clinical Medicine, 2023,30(6):91-95. DOI： 10.3969/j.issn.2095-6606.2023.06.020.

摘要

目的

分析沈绍功教授诊治肺癌的用药规律。

方法

110首处方均为2015年1月—2017年12月沈教授治疗肺癌患者的有效首诊方，对中药名称进行统一规范、数据整理，采用关联规则Apriori算法和Cytoscape数据分析方法，总结诊治肺癌的用药规律。

结果

110首处方共涉及肺癌患者110例，其中，男性12例，女性98例。最大年龄82岁，最小年龄35岁，平均年龄(61.17±7.69)岁。使用频次>17的单味药物，共30味，排名前15位的药物主要为沈教授治疗肺癌阴阳两虚证的主方调肾阴阳方(枸杞子10 g，野菊花10 g，生地黄10 g，黄精10 g，生杜仲10 g，桑寄生10 g)。对处方中支持度>15%的单味药进行分类统计，其中，补阴药平均频次最高，为2.58。按支持度排列，前6位依次为枸杞子－仙鹤草、黄精－仙鹤草、枸杞子－黄精、白花蛇舌草－枸杞子、白花蛇舌草－黄精、枸杞子－生地黄。置信度均为100%的药对有16个。支持度>10%的药物组合可视化网络分析结果显示，解毒、利湿、补阳、补阴、补血、燥湿和止血为主要使用目的。

结论

沈教授针对肺癌用药思路重在顾护脾胃、调肾阴阳，兼解毒化湿。

Abstract

Objective

To analyze the rule of medication in the diagnosis and treatment of lung cancer by Professor Shen Shaogong.

Methods

The 110 formulas included in this study were all prescribed by Professor Shen for the patients at their first visits for the treatment of lung cancer from January 2015 to December 2017

and proven to be effective. The names of the herbs used were standardized and data were collected. Association rule Apriori algorithm and Cytoscape data analysis were employed to summarize the medication rules for the diagnosis and treatment of lung cancer.

Results

110 patients with lung cancer were involved in the 110 formulas

including 12 males and 98 females. The maximum age was 82 years

the minimum age was 35 years

and the mean age was (61.17±7.69)years. There were 30 single herbs with a frequency of > 17

and the top 15 herbs were Tiaoshen Yinyang Formula (Kidney-Yin-Yang-Regulating Formula) (10 g Gouqizi(Fructus Lycii)

10 g Yejuhua (Flos Chrysanthemi Indici)

10 g Shengdihuang (Radix Rehmanniae)

10 g Huangjing (Rhizoma Polygonati)

10 g Shengduzhu (Cortex Eucommiae)

10 g Sangjisheng (Herba Taxilli))

which was the main prescription used by Professor Shen to treat yin-yang deficiency syndrome of lung cancer. The average frequency of yin-tonifying herbs was the highest

which was 2.58. According to the degree of support

the top 6 were Gouqizi-Xianhecao (Herba Agrimoniae)

Huangjing-Xianhecao

Gouqizi-Huangjing

Baihuasheshecao (Herba Hedyotis Diffusae) - Gouqizi

Baihuasheshecao - Huangjing

Gouqizi - Shengdihuang. There were 16 herb pairs with 100% confidence. The result of the visual network analysis of herbal combinations with support > 10% showed that the main purposes were resolving toxins

draining dampness

supplementing yang

supplementing yin

supplementing the blood

drying dampness and stanching bleeding.

Conclusion

Professor Shen’s ideas of medication for lung cancer mainly focus on protecting the spleen and stomach

regulating kidney yin and yang

and resolving toxins and dampness.

关键词

肺癌核心处方用药规律临床经验沈绍功

Keywords

lung cancercore prescriptionmedication ruleclinical experienceShen Shaogong

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