[Analysis of prescription regularity of traditional Chinese medicine for colorectal cancer based on data mining].

The tumor prescriptions contained in Dictionary of Tumor Formulas, Compendium of Good Tumor Formulas, Chinese Pharmacopoeia, Ministry of Health Drug Standards for Chinese Medicine Formulas and National Compilation of Standards for Proprietary Chinese Medicines were selected and organized to construct a database for tumor prescriptions, and the data mining techniques were applied to investigate the prescription regularity of colorectal cancer prescriptions. The formula data were extracted after screening in strict accordance with the inclusion and exclusion criteria, and were then analyzed with Microsoft Excel 2010 for frequency statistics, Apriori block provided by SPSS Clementine 12.0 software for correlation rule analysis, and arules and arulesViz packages in R 4.0.2 software for correlation rule visualization. In addition, SPSS 18.0 software was used for cluster analysis and factor analysis, in which cluster analysis was performed by Ochiai algorithm with bicategorical variables in systematic clustering method and factor analysis was performed mainly with principal component analysis. A total of 285 prescriptions were included in the statistical analysis, and the frequency statistics showed that 43 herbs had been used more than 16 times. The association rules analysis showed that 26 high-frequency me-dicine pair rules were obtained, and the association rules for those dispelling evil spirits, strengthening the body, resolving stasis, dispelling dampness, etc. were visualized. In the cluster analysis, we generated a dendrogram from which 7 groups of traditional Chinese medicines with homogeneity were extracted. 10 common factors were obtained in the factor analysis. The types of herbal medicines involved in the colorectal cancer prescription included anti-cancer antidotes, strengthening and tonifying medicines, blood-regulating medicines, and expectorant medicines, corresponding to the treatment for eliminating evil spirits, strengthening, resolving stasis, and expectorating dampness. The prescriptions for anti-cancer detoxification were normally based on the pairs composed of Scutellaria barbata-Hedyotis diffusa and Sophora flavescens, Sargentodoxa cuneata, S. barbata, often combined with stasis relieving drug and dampness eliminating drug, reflecting the characteristics of treatment for both toxicity and stasis, dampness and toxicity simultaneously. The prescriptions for strengthening the righteousness and tonifying the deficiency were composed of Astragalus membranaceus and Atractylodes macrocephala mainly, exerting the effect of benefiting Qi, strengthening the spleen and drying dampness, tonifying kidney and essence, tonifying blood and invigorating blood. Meanwhile, anti-cancer detoxification medicines shall be reduced as much as possible. The compatibility of the medicines for the intestinal tract reflected the principle of using the right medicine for the right condition and eliminating evil spirits or strengthening the body, as appropriate.

[Bayesian network Meta-analysis of Chinese medicine injections in treatment of chronic renal insufficiency].

In this study, Honghua Injection, Danshen Injection, Shenkang Injection, Shuxuetong Injection, Lulutong Injection, Shenxiong Glucose Injection and Chuanxiong Injection were compared for their clinical efficacy on chronic renal insufficiency by using the method of network Meta-analysis, with Western medicine as the common reference. The randomized controlled trial(RCT) of Hong-hua Injection, Danshen Injection, Shenkang Injection, Shuxuetong Injection, Lulutong Injection, Shenxiong Glucose Injection and Chuanxiong Injection for the treatment of chronic renal insufficiency were obtained by computer-based retrieval. The literature quality was evaluated by using the method in Cochrane Reviewer's Handbook 5.1 after independent screening of the included literature by two reviewers. The RJAGS package and GEMTC package of RevMan 5.3, GEMTC software, R software were used for statistical analysis to compare and sort the different injections in terms of efficacy. A total of 6 197 patients with chronic renal failure were included in 79 RCTs, involving 8 treatment measures. The effective rates of conventional treatment combined with Shenxiong Injection(OR=3.55, 95%CI[1.98, 6.37], P<0.000 1), Honghua Injection(OR=3.77, 95%CI[2.45, 5.81], P<0.000 01), Shuxuetong Injection(OR=6.71, 95%CI[3.30, 13.65], P<0.000 01) and Shenkang Injection(OR=4.14, 95%CI[3.42, 5.03], P<0.000 01) were all better than that in control group, and the effective rate of Honghua Injection combined with conventional treatment(OR=3.89, 95%CI[1.73, 8.74], P=0.001) was better than that in Danshen Injection combined with conventional treatment, all with statistically significant differences. By comprehensive comparison, Shuxuetong Injection, Honghua Injection and Shenkang Injection combined with Western medicine had good clinical effect on the effective rate, serum creatinine reduction and urea nitrogen reduction in patients with chronic renal insufficiency. However, due to the relatively low quality of the included literature, the conclusion has yet to be verified clinically.