ABSTRACT
Objective To study the medication regularity of compound herbal formulae in treating patients with advanced non-small lung cancer (NSCLC). Methods Compound herbal formulae published on journals for the treatment of NSCLC were searched and collected from CBM, CNKI, and Wanfang Data for database establishment. Frequency analysis, cluster analysis, and association rule analysis were used for data mining, and regularity of main Chinese medicinal herbs and herbal pairs (combinations) were investigated. Results There were 107 compound herbal formulae (involving 193 Chinese medicinal herbs and 1298 frequency) for NSCLC. 42 Chinese medicinal herbs were used for more than 9 times. Cluster analysis on the tastes and properties of the 42 Chinese medicinal herbs found that, among the four qi, cold showed the highest frequency (409);among the five tastes, sweet showed the highest frequency (627);among the meridians, lung meridian showed the highest frequency (546). Cluster analysis divided main Chinese medicinal herbs into 9 types, including yin-nourishing herbs, heat-clearing herbs, qi-tonifying herbs, blood-enriching herbs, blood circulation activating herbs, hemostasis herbs, phlegm-reducing herbs, qi-descending herbs, lung-astringing herbs. Associate rule analysis obtained 26 rules for Chinese medicinal herbal pairs, 18 rules for Chinese medicinal herbal combination, most of which were combinations for tonifying qi, nourishing yin, and clearing heat. Conclusion Chinese compound herbal formulae for the treatment of NSCLC mainly use Chinese medicinal herbs with properties of cold and mildness, with the tastes of sweet and bitter, with meridians of lung, spleen, and stomach, with the treatment of tonifying qi, nourishing yin, and detoxication.
ABSTRACT
Objective To study the distribution characteristics of TCM basic syndromes in sub-healthy status. Methods Based on a clinical epidemiologic method, an epidemiological investigation in people working in the fields of education and health care in Jing’ an District of Shanghai from Oct. to Dec., 2009 was conducted in order to conclude the main symptoms and basic syndrome characteristics of sub-health. Results Totally 1152 cases out of 1502 were in sub-healthy status. The most common symptoms of sub-healthy status were fatigue, fatigue that is not improved by bed rest, dizziness, dryness of eye, waist acerbity of eye, dry pharynx, memory difficulty, decreased food appetite, hypoposia, sweating, pain, negative feeling, tantrum, difficulty in falling asleep, early awakening, low-quality sleep, aneuria, drop in energy, frequent colds, and cold-blooded feeling;the most common physical signs were low spirits and neurolysis, sallow complexion, low voice, big body of tongue, pale tongue, greasy fur, and pulse breakdown;the most common syndrome types were qi-stagnation in liver with deficiency of spleen (20.31%), deficiency of both heart and spleen (16.49%), spleen asthenic fluid-retention (14.76%), qi-depression in liver (11.98%), hepatic and renal yin-deficiency (11.63%), phlegm-heat attacking internally (8.07%), qi-deficiency in liver and spleen (7.99%), pathogenic fire derived from qi-stagnation in liver (3.13%). Conclusion Based on this cross-sectional study, clinical manifestation and symptom types of sub-healthy status could be identified preliminarily, and the basis of treating sub-health with traditional Chinese medicine could be provided.
ABSTRACT
Objective To study the regularity of compound herbal formulae for perimenopausal syndrome. Methods Compound herbal formulae published on journals for the treatment of perimenopausal syndrome was searched and collected. A database was established for data mining using frequency count, cluster analysis and association rule analysis. Regularity of key herbs and pair (group) of herbs was summarized. Results There were 49 prescriptions (totaling 100 herbs and 553 counts of frequency) in the compound herbal formulae for perimenopausal syndrome. The herbs which were used for more than 3 times included 57 herbs (totally 504 counts of frequency), and they were cluster analysed and classified into 8 clusters including drugs for invigoration, clearing heat, warming and nourishing, restoring vital energy, tranquilizing, calming the liver, soothing the liver, and promoting mentality. The rules in pair of herbs were 39, and rules in group of herbs were 17, by using association rule analysis. Conclusion It was feasible that study the regularity of Chinese compound prescription for the treatment of perimenopausal syndrome by using data mining.