ABSTRACT
ObjectiveTo explore the macroscopic medication pattern of traditional Chinese medicine （TCM） in treating esophageal cancer （EC） and provide medication references for the clinical application of TCM in EC treatment. MethodRelevant literature on TCM treatment of EC was retrieved from three major Chinese databases： China National Knowledge Infrastructure （CNKI）， Wanfang Data， and VIP. Information about Chinese herbal medicines was entered into Excel to establish a prescription database for EC. The data were standardized， summarized， and subjected to frequency analysis， association rules， and cluster analysis of medication in the prescriptions. Based on the TCM classification of EC syndromes， clinical indications corresponding to each syndrome were identified， and high-frequency drugs and drug pairs were analyzed correspondingly with syndromes. ResultA total of 136 prescriptions containing 240 Chinese herbal medicines were screened， with a cumulative frequency of 1 853 times. The top 5 frequently used Chinese herbal medicines were Glycyrrhizae Radix et Rhizoma， Poria， Atractylodis Macrocephalae Rhizoma， Astragali Radix， and Pinelliae Rhizoma. In terms of functions， the Chinese herbal medicines were mainly deficiency-tonifying， urination-promoting and dampness-draining， deficiency-tonifying， deficiency-tonifying， and phlegm-resolving and cough and dyspnea-relieving ones. The statistical analysis of flavor， property， and meridian tropism showed that Chinese herbal medicines were mainly bitter and sweet， warm， cold， and neutral， and acted on the spleen， lung， and stomach meridians. Association rule analysis yielded nine potential drug combinations， and cluster analysis of high-frequency drugs resulted in four combination categories. The four TCM syndromes for EC corresponded to respective clinical indications， treatment drugs， and drug pairs. ConclusionTonifying deficiency， reinforcing healthy Qi， descending adverse Qi， resolving phlegm， activating blood， and resolving stasis are the basic principles of TCM treatment for EC， which are supplemented by clearing heat and dissipating mass while focusing on regulating and smoothing the qi movement. The drug combinations obtained from high-frequency drug and association rule analysis provide references for different TCM syndrome treatments of EC， offering valuable insights for clinical medication.
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.