1. 大连医科大学附属第二医院
2. 辽宁省庄河市中心医院
纸质出版:2014
移动端阅览
[1]田野,李舒.战丽彬治疗恶性肿瘤用药规律的数据挖掘分析[J].中医杂志,2014,55(08):657-660.
TIAN Ye, LI Shu. Data Mining of ZHAN Libin’s Medication Rules in Treating Cancer[J]. Journal of Traditional Chinese Medicine2014, 55(8): 657-660.
[1]田野,李舒.战丽彬治疗恶性肿瘤用药规律的数据挖掘分析[J].中医杂志,2014,55(08):657-660. DOI: 10.13288/j.11-2166/r.2014.08.009.
TIAN Ye, LI Shu. Data Mining of ZHAN Libin’s Medication Rules in Treating Cancer[J]. Journal of Traditional Chinese Medicine2014, 55(8): 657-660. DOI: 10.13288/j.11-2166/r.2014.08.009.
目的利用数据挖掘等量化研究方法探讨战丽彬教授治疗恶性肿瘤的用药规律。方法收集就诊于大连医科大学附属第二医院战丽彬专家门诊的恶性肿瘤患者132例
建立临床信息资料库
对药物及药物类别进行描述性统计分析
并分别采用聚类分析和贝叶斯网络分析战丽彬治疗恶性肿瘤的用药特点。结果 132例患者664诊次共涉及中药210种
频率>50%的中药有黄芪、茯苓、党参、白花蛇舌草、当归、半边莲、陈皮、炙甘草、炒白术、半枝莲、山慈菇。药物类别主要以补虚药和清热解毒药为主
其次为理气药、消食药、利水渗湿药、活血止痛药。高频药物聚类分析得到以下5个聚类组:①黄芪、茯苓、党参、白花蛇舌草、当归、炙甘草、陈皮、炒白术、半边莲、半枝莲;②牡丹皮、栀子、郁金、没药、川楝子、山慈菇;③白术、枳实、山药、白扁豆、焦山楂、炒麦芽、炒神曲、鸡内金、姜半夏、甘草;④龙骨、牡蛎;⑤阿胶、熟地黄、川芎、生地黄、麦冬、杜仲。对所用频率>20%的药物以黄芪为目标进行贝叶斯网络分析得出主方:黄芪、党参、茯苓、熟地黄、麦冬、阿胶、当归、川芎、枳实、炒白术(白术)、炒神曲、白花蛇舌草、半边莲、杜仲、甘草。结论战丽彬治疗恶性肿瘤的组方中
以补虚药为主
清热解毒药为辅
配伍理气、消食、活血化瘀、安神之品等
体现了扶正抗癌的治疗思路。
Objective To study ZHAN Libin’ s medication rules in treating cancer by data mining technology. Methods Totally 132 patients with cancer who received treatment in ZHAN Libin Expert Outpatient Services in the Second Hospital of Dalian Medical University were collected. The clinical information database was established. The herbs and herb categories were analyzed by descriptive statistical analysis. ZHAN Libin’ s medication characteristics were analyzed by cluster analysis and Bayesian networks. Results There were 132 patients
664 visits and 210 herbs involved. The herbs with frequency higher than 50% were Huangqi( Radix Astragali
黄芪)
Fuling( Poria
茯苓)
Dangshen( Radix Codonopsis
党参)
Baihuasheshecao( Herba Hedyotis
白花蛇舌草)
Danggui( Radix Angelicae Sinensis
当归)
Banbianlian( Herba Lobeliae Chinensis
半边莲)
Chenpi( Pericarpium Citri Reticulatae
陈 皮)
Zhigancao( Radix et Rhizoma Glycyrrhizae Praeparata cum Melle
炙甘草)
Chaobaizhu( Atractylodis Macrocephalae Rhizoma Frictum
炒白术)
Banzhilian( Herba Scutellariae Barbatae
半枝莲) and Shancigu( Pseudobulbus Cremastrae seu Pleiones
山慈菇). The commonly used herbs were deficiency-supplementing herb
heat-clearing toxin-resolving herb
qi-regulating herb
digestive herb
water-disinhibiting damp-percolating herb and blood-quickening pain-relieving herb. There were five herb cluster groups such as group of Huangqi
Fuling
Dangshen
Baihuasheshecao
Danggui
Zhigancao
Chenpi
Chaobaizhu
Banbianlian and Banzhilian
group of Mudanpi( Cortex Moutan
牡 丹皮)
Zhizi( Fructus Gardeniae
栀子)
Yujin( Radix Curcumae
郁金)
Moyao( Myrrha
没药)
Chuanlianzi( Fructus Toosendan
川楝子) and Shancigu
group of Baizhu( Rhizoma Atractylodis Macrocephalae
白术)
Zhishi( Fructus Aurantii Immaturus
枳实)
Shanyao( Rhizoma Dioscoreae
山药)
Baibiandou( Semen Lablab Album
白扁 豆)
Jiaoshanzha( Crataegi Fructus Ustus
焦山楂)
Chaomaiya( Hordei Fructus Germinatus Frictus
炒麦芽)
Chaoshenqu( Massa Medicata Fermentata Fricta
炒神曲)
Jineijin( Endothelium Corneum Gigeriae Galli
鸡内金)
Jiangbanxia( Rhizome Pinelliae Praeparata
姜半夏) and Gancao( Radix et Rhizoma Glycyrrhizae
甘草)
group of Longgu( Os Draconis
龙骨) and Muli( Concha Ostreae
牡蛎) and group of Ejiao( Colla Corii Asini
阿胶)
Shudihuang( Radix Rehmanniae Praeparata
熟地黄)
Chuanxiong( Rhizoma Chuanxiong
川芎)
Shengdihuang( Radix Rehmanniae Recens
生地黄)
Maidong( Radix Ophiopogonis
麦冬) and Duzhong( Cortex Eucommiae
杜仲). Huangqi was chosen as a target and the herbs with frequency higher than 20% were analyzed by Bayesian networks to get the main formula combined with Huangqi
Dangshen
Fuling
Shudihuang
Maidong
Ejiao
Danggui
Chuanxiong
Zhishi
Chaobaizhu( Baizhu)
Chaoshenqu
Baihuasheshecao
Banbianlian
Duzhong and Gancao. Conclusion ZHAN Libin often uses deficiency-supplementing herb
heat-clearing toxin-resolving herb
qi-regulating herb
digestive herb
blood-quickening stasis-transforming herb and sedative or tranquilizing herb to treat cancer
reflecting the idea of supporting body resistance and anticancer.
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