Du Li-Dong, Tian Jin-Hui, Wu Guo-Tai, Niu Ting-Hui, Chen Zhen-He, Ren Yuan
School of Pharmacy, Gansu University of Chinese Medicine, Lanzhou 730000, China.
Gansu Province Key Laboratory of Pharmacology and Toxicology of Traditional Chinese Medicine, Lanzhou 730000, China.
Zhongguo Zhong Yao Za Zhi. 2017 Jan;42(2):370-377. doi: 10.19540/j.cnki.cjcmm.20161222.023.
The methods of literature metrology and data mining were used to study the research topics and social network analysis of traditional Chinese medicine for constipation. The major Chinese databases were searched to include the research studies of traditional Chinese medicine for constipation. BICOMS analysis software was used to extract and collect the main information and produce co-occurrence Matrix; gCLUTO software was used for cluster analysis. Data analysis was conducted by using SPSS 19.0 software. The results showed that the number of studies on traditional Chinese medicine for constipation was constantly increased, with two literature volume peaks respectively in 2003 and 2006. Related studies have been published in 31 provinces, autonomous regions and municipalities have published, but the studies in developed areas were more than those in developing areas. There was little cooperation between research institutions and the authors, especially the cooperation between different areas. At present, the research field of Chinese medicine for constipation is divided into five research topics. In terms of specific traditional Chinese medicine, angelica sinensis is in the core position. The results showed regional imbalance in the number of studies on Chinese medicine treatment for constipation, as well as little cooperation between researchers and research institutions. The research topics mainly focused on the evaluation of clinical efficacy, but the research on optimizing the prescriptions was still not enough, so the future researchers shall pay more attention to the studies of constipation prescriptions with Angelica sinensis as the core herb.
运用文献计量学和数据挖掘方法，对中医治疗便秘的研究主题和社会网络进行分析。检索了主要中文数据库，纳入中医治疗便秘的研究文献。使用BICOMS分析软件提取并收集主要信息，生成共现矩阵；运用gCLUTO软件进行聚类分析。采用SPSS 19.0软件进行数据分析。结果显示，中医治疗便秘的研究数量呈不断上升趋势，在2003年和2006年分别出现两个文献量高峰。相关研究已在31个省、自治区、直辖市发表，但发达地区的研究多于欠发达地区。研究机构和作者之间合作较少，尤其是不同地区之间的合作。目前，中医治疗便秘的研究领域分为五个研究主题。具体到中药方面，当归处于核心地位。结果表明，中医治疗便秘的研究数量存在地区不平衡，研究者和研究机构之间合作较少。研究主题主要集中在临床疗效评价方面，但对优化方剂的研究仍显不足，未来研究者应更加关注以当归为核心药材的便秘方剂研究。
