目的:利用CiteSpace分析近10年中医药保守治疗异位妊娠的文献研究状况,探讨此领域的研究热点和研究趋势。方法:检索中国知网数据库关于中医药保守治疗异位妊娠的相关文献,并将其导入CiteSpace,对发文量、作者、机构、关键词进行可视化...目的:利用CiteSpace分析近10年中医药保守治疗异位妊娠的文献研究状况,探讨此领域的研究热点和研究趋势。方法:检索中国知网数据库关于中医药保守治疗异位妊娠的相关文献,并将其导入CiteSpace,对发文量、作者、机构、关键词进行可视化分析。结果:共纳入206篇相关文献。发文量基本稳定,整体呈现下降趋势。作者合作网络图共获得388个节点,345条连线,目前缺乏核心作者。发文量最多的机构分别为河南中医药大学(3篇)及河南省中医院(3篇)。对关键词聚类共形成9个聚类标签。结论:中医药保守治疗异位妊娠领域的研究逐渐趋向完善,治疗方法多样,但是仍有需要完善的地方。本研究结果可为开展中医药或中西医结合保守治疗异位妊娠的基础以及临床研究提供依据与参考。Objective: CiteSpace was used to analyze the literature research status of TCM conservative treatment of ectopic pregnancy in recent 10 years, and to explore the research hotspots and research trends in this field. Methods: Relevant literature on the conservative treatment of ectopic pregnancy by TCM in the CNKI database was retrieved and imported into CiteSpace to visually analyze the number of publications, authors, institutions and keywords. Results: A total of 206 related articles were included. The number of documents is basically stable, and the overall trend shows a downward trend. The author cooperative network map has 388 nodes and 345 lines, and there is a lack of core authors. The institutions with the largest number of publications were Henan University of Traditional Chinese Medicine (3) and Henan Hospital of Traditional Chinese Medicine (3). A total of nine cluster labels were formed for the keyword clustering. Conclusion: The research in the field of conservative treatment of ectopic pregnancy with traditional Chinese medicine is gradually improving, and the treatment methods are diverse, but there are still some areas to be improved. The results of this study can provide basis and reference for basic and clinical research on conservative treatment of ectopic pregnancy with traditional Chinese medicine or integrated Chinese and western medicine.展开更多
目的:运用数据挖掘的方法分析《女科指要》中带下病篇的药物使用规律。方法:使用Excel软件对《女科指要》治疗带下病的方剂进行药物的性味归经及高频药物进行统计;关联规则使用SPSS Modeler 18.0进行分析;高频药物的聚类分析使用SPSS St...目的:运用数据挖掘的方法分析《女科指要》中带下病篇的药物使用规律。方法:使用Excel软件对《女科指要》治疗带下病的方剂进行药物的性味归经及高频药物进行统计;关联规则使用SPSS Modeler 18.0进行分析;高频药物的聚类分析使用SPSS Statistics 25.0。结果:共分析50首方剂,113味中药,药物累计使用频次达332次。高频药物(用药频率 ≥ 5)为白芍、当归、茯苓、黄柏、香附等22味药,其药性多为温性,药味多以甘、辛、苦为主,主归脾、肝、肾、肺经。使用关联规则分析获得具有强关联性的药对包括当归–白芍、当归–川芎、白芍–川芎、白芍–白术。通过聚类分析得到核心药物组合共5组:1) 干姜、柴胡、甘草、黄芩;2) 黄柏、樗白皮、苍术、半夏、香附、白芷;3) 附子、炙甘草;4) 牡蛎、龙骨、五味子;5) 白术、人参、茯苓、当归、川芎、白芍、熟地黄。Objective: To use data mining to analyze the drug use rules of the section of abnormal leukorrhea in Women’s Medical Instruction. Methods: Excel software was used to collect statistics on the sexual and taste normalization and high frequency drugs in the “Female Science Guidelines” for the treatment of abnormal leukorrhea. SPSS Modeler 18.0 software was used for association rule analysis. SPSS Statistics 25.0 software was used for cluster analysis of high frequency drugs. Results: A total of 50 formulas were included, involving 113 Chinese herbal medicines, and the cumulative frequency of use was 332 times. High-frequency drugs (medication frequency ≥ 5) for Paeonia alba, Angelica, Poria, Phellodendron chinensis, Xiangfu and other 22 flavor drugs, its medicinal properties are mostly warm, the taste is mostly sweet, xin, bitter, and the meridians are mainly based on the spleen, liver, kidney and lung meridians. The drug pairs with strong correlation were angelica obtained, including Angelica sinensis-Paeonia alba, Angelica sinensis-Chuanxiong, Paeonia alba-Chuanxiong, and Paeonia alba-Atractylodes macrocephalus. Cluster analysis was used to obtain 5 core drug combinations: five core drug combinations were obtained by cluster analysis:1) Dried ginger, Bupleurum, licorice and Scutellaria;2) Phellodendron chinensis, Chubaipi, Atractylodes lancea, Banxia, Xiangfu, Angelica dahurica;3) Aconite, grilled licorice;4) Oysters, keel, Schisandra;5) Atractylodes macrocephalus, ginseng, Poria, Angelica, Chuanxiong, Paeonia alba, cooked Rehmannia.展开更多
文摘目的:利用CiteSpace分析近10年中医药保守治疗异位妊娠的文献研究状况,探讨此领域的研究热点和研究趋势。方法:检索中国知网数据库关于中医药保守治疗异位妊娠的相关文献,并将其导入CiteSpace,对发文量、作者、机构、关键词进行可视化分析。结果:共纳入206篇相关文献。发文量基本稳定,整体呈现下降趋势。作者合作网络图共获得388个节点,345条连线,目前缺乏核心作者。发文量最多的机构分别为河南中医药大学(3篇)及河南省中医院(3篇)。对关键词聚类共形成9个聚类标签。结论:中医药保守治疗异位妊娠领域的研究逐渐趋向完善,治疗方法多样,但是仍有需要完善的地方。本研究结果可为开展中医药或中西医结合保守治疗异位妊娠的基础以及临床研究提供依据与参考。Objective: CiteSpace was used to analyze the literature research status of TCM conservative treatment of ectopic pregnancy in recent 10 years, and to explore the research hotspots and research trends in this field. Methods: Relevant literature on the conservative treatment of ectopic pregnancy by TCM in the CNKI database was retrieved and imported into CiteSpace to visually analyze the number of publications, authors, institutions and keywords. Results: A total of 206 related articles were included. The number of documents is basically stable, and the overall trend shows a downward trend. The author cooperative network map has 388 nodes and 345 lines, and there is a lack of core authors. The institutions with the largest number of publications were Henan University of Traditional Chinese Medicine (3) and Henan Hospital of Traditional Chinese Medicine (3). A total of nine cluster labels were formed for the keyword clustering. Conclusion: The research in the field of conservative treatment of ectopic pregnancy with traditional Chinese medicine is gradually improving, and the treatment methods are diverse, but there are still some areas to be improved. The results of this study can provide basis and reference for basic and clinical research on conservative treatment of ectopic pregnancy with traditional Chinese medicine or integrated Chinese and western medicine.
文摘目的:运用数据挖掘的方法分析《女科指要》中带下病篇的药物使用规律。方法:使用Excel软件对《女科指要》治疗带下病的方剂进行药物的性味归经及高频药物进行统计;关联规则使用SPSS Modeler 18.0进行分析;高频药物的聚类分析使用SPSS Statistics 25.0。结果:共分析50首方剂,113味中药,药物累计使用频次达332次。高频药物(用药频率 ≥ 5)为白芍、当归、茯苓、黄柏、香附等22味药,其药性多为温性,药味多以甘、辛、苦为主,主归脾、肝、肾、肺经。使用关联规则分析获得具有强关联性的药对包括当归–白芍、当归–川芎、白芍–川芎、白芍–白术。通过聚类分析得到核心药物组合共5组:1) 干姜、柴胡、甘草、黄芩;2) 黄柏、樗白皮、苍术、半夏、香附、白芷;3) 附子、炙甘草;4) 牡蛎、龙骨、五味子;5) 白术、人参、茯苓、当归、川芎、白芍、熟地黄。Objective: To use data mining to analyze the drug use rules of the section of abnormal leukorrhea in Women’s Medical Instruction. Methods: Excel software was used to collect statistics on the sexual and taste normalization and high frequency drugs in the “Female Science Guidelines” for the treatment of abnormal leukorrhea. SPSS Modeler 18.0 software was used for association rule analysis. SPSS Statistics 25.0 software was used for cluster analysis of high frequency drugs. Results: A total of 50 formulas were included, involving 113 Chinese herbal medicines, and the cumulative frequency of use was 332 times. High-frequency drugs (medication frequency ≥ 5) for Paeonia alba, Angelica, Poria, Phellodendron chinensis, Xiangfu and other 22 flavor drugs, its medicinal properties are mostly warm, the taste is mostly sweet, xin, bitter, and the meridians are mainly based on the spleen, liver, kidney and lung meridians. The drug pairs with strong correlation were angelica obtained, including Angelica sinensis-Paeonia alba, Angelica sinensis-Chuanxiong, Paeonia alba-Chuanxiong, and Paeonia alba-Atractylodes macrocephalus. Cluster analysis was used to obtain 5 core drug combinations: five core drug combinations were obtained by cluster analysis:1) Dried ginger, Bupleurum, licorice and Scutellaria;2) Phellodendron chinensis, Chubaipi, Atractylodes lancea, Banxia, Xiangfu, Angelica dahurica;3) Aconite, grilled licorice;4) Oysters, keel, Schisandra;5) Atractylodes macrocephalus, ginseng, Poria, Angelica, Chuanxiong, Paeonia alba, cooked Rehmannia.
