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Exploring the medication rules of hepatic precancerous lesions based on data mining

Published on Oct. 15, 2024Total Views: 796 times Total Downloads: 151 times Download Mobile

Author: GOU Siyuan 1 YANG Xianzhao 2 WANG Longzhu 1 TIAN Yujia 1 RU Shuying 3

Affiliation: 1. Department of Gastroenterology, Dongzhimen Hospital Affiliated to Beijing University of Chinese Medicine, Beijing 100700, China 2. Department of Infectious Diseases, Dongzhimen Hospital Affiliated to Beijing University of Chinese Medicine, Beijing 100700, China 3. Department of Gastroenterology, Tongzhou District, Dongzhimen Hospital Affiliated to Beijing University of Chinese Medicine, Beijing 101100, China

Keywords: Hepatocellular carcinoma Precancerous lesions Traditional Chinese medicine Data mining Medication rule Milkvetch root Largehead atractylodes rhizome Radix salviae miltiorrhhizae

DOI: 10.12173/j.issn.2097-4922.202405139

Reference: GOU Siyuan, YANG Xianzhao, WANG Longzhu, TIAN Yujia, RU Shuying.Exploring the medication rules of hepatic precancerous lesions based on data mining[J].Yaoxue QianYan Zazhi,2024, 28(1):80-89.DOI: 10.12173/j.issn.2097-4922.202405139.[Article in Chinese]

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Abstract

Objective  To collect and sort out the literature on the clinical medication experience of traditional Chinese medicine (TCM) in the treatment of hepatic precancerous lesions, and to summarize the characteristics of the disease and the treatment ideas by analyzing the rules of its formula, in order to provide instructions for the treatment of precancerous lesions of hepatocellular carcinoma with TCM in terms of medication and experience addition and subtraction.

Methods  CNKI, VIP, WanFang Data, CBM, PubMed, Web of Science, EMBASE, Cochrane databases were systematically searched, the clinical research and personal experience literature of TCM in the treatment of hepatic precancerous lesions from the establishment of the databases to December 2023 was included, and the prescription information that met the inclusion criteria was extracted. Based on “Traditional Chinese Medicine data Miner (TCM Miner)”, the medication database was established to analyze the frequency, properties and flavours of the drugs and meridian tropism. The cluster analysis were conducted by SPSS 25.0 statistical software, and the association rules were analyzed by using Apriori algorithm of SPSS Modeler 14.1, and the complex network analysis of high-frequency drugs was conducted by network module of SPSS Modeler.

Results  34 researches including 34 formulas, 110 drugs with 291 frequencies and 15 drug efficacy were included. Frequency analysis showed that the top eight types of frequently applied drugs were milkvetch root, largehead atractylodes rhizome, radix salviae miltiorrhhizae, hedyotis, carapax trionycis, zedorgy rhidoray, barbated skullcup herb, redix curcumae. The top three properties in the "four qi" were cold, warm and mild. The top three tastes of the "five flavors" were bitterness, sweetness and acridity. The top four in the frequency of meridian tropism were liver, spleen, kidney and lung. Apriori correlation analysis showed that the core drug pairs was "Hedyotis diffusa+Atractylodes". Complex network analysis showed that the core prescriptions were composed of Atractylodes, Radix Paeoniae Alba, Hedyotis diffusa, Poria cocos, Rhizoma Curcumae, Radix Curcumae Aromaticae, Trionycis Carapax, Radix Astragali, Sparganium stoloniferum, Salvia miltiorrhiza, Scutellaria barbata.

Conclusion  The TCM treatment of hepatic precancerous lesions should be based on tonifying spleen and nourishing liver, promoting blood circulation and detoxification, and combined with drugs that can promote qi-circulation, clear heat, remove blood-stasis, soften hard masses and resolve hard masses.

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