Data Mining-Based Macroscopic Exploration of Clinical Medication of Chinese Medicine for Liver Cancer / 中国实验方剂学杂志

ABSTRACT

Objective:To explore the macroscopic medication rule of Chinese medicine for the treatment of primary liver cancer and provide references for clinical medication. Method:The databases of CNKI，VIP， and Wanfang Data were searched for research articles published from September 1959 to June 2019 with the terms of "Chinese medicine" and "liver cancer". A database was established based on the collected Chinese medicinal prescriptions for the treatment of primary liver cancer. The frequency，clustering， and association rules were analyzed by Excel， etc. Result:In this study，106 effective articles were included，and after the modified prescriptions were removed， 92 effective prescriptions were screened out，involving 281 Chinese herbal medicines used for 1 181 times in total. The top 5 high-frequency drugs were Poria （deficiency-tonifying），Astragali Radix （heat-clearing），Bupleuri Radix （blood-activating and stasis-resolving），Paeoniae Radix Alba （urination-promoting and dampness-draining）， and Codonopsis Radix （Qi-regulating）. The analysis of drug flavor with a frequency higher than 10 showed that most of the drugs were sweet，bitter， and pungent in flavor，cold，warm， and plain in nature，and acted on spleen and liver meridians. Four combinations and 10 herbal pairs were obtained by the cluster analysis of high-frequency drugs and association analysis， respectively. The high-frequency drugs and potential herbal pairs were classified targeting the specific clinical syndromes in different stages of liver cancer. Conclusion:Replenishing Qi， invigorating spleen，clearing heat， removing toxin，activating blood， and resolving stasis were the basic principles for the treatment of primary liver cancer. The combination of those drugs was the main therapeutic strategy. In addition，the resulting 10 potential herbal pairs from high-frequency drugs and cluster analysis could inspire the clinical treatment of primary liver cancer in different clinical stages with various clinical syndromes， which was of reference value for the clinical medication.