糖尿病视网膜病变基因相关研究热点的文献计量学分析

Theme Trends and Knowledge Structure of Diabetic Retinopathy-Related Genes:Quantitative and Co-Word Analysis

目的从文献计量学的角度系统分析近7年糖尿病视网膜病变(DR)基因相关文献的分布规律及研究热点,为开展DR相关基础研究提供参考依据。方法以PubMed数据库为数据源,对2010年1月至2017年12月所收录的DR基因相关文献采用书目信息共现挖掘系统(BICOMS)进行统计分析,对高频主题词共现矩阵进行聚类分析、绘制战略坐标图。结果共检出DR基因相关文献1 193篇。通过对44个高频主题词及副主题词进行聚类分析,结果显示当前的热点主要集中在以下5个方面:(1) DR相关基因单核苷酸多态性的遗传学研究;(2)视网膜新生血管相关病理学、动物模型及遗传学研究;(3) DR相关腺病毒及信使RNA基因研究;氧化应激所致视网膜色素上皮细胞病变的研究;(4) DR药物治疗相关基因研究;(5)高糖血症所致视网膜血管内皮细胞凋亡的代谢性研究。战略坐标图显示:第一类、第五类研究密度及向心度均较高,其中DR相关基因单核苷酸多态性的遗传学研究处于核心地位,该类主题可以在一定程度上带动其余各主题的发展;第二类、第四类研究处于边缘,该方面研究较为薄弱,有可能成为未来发展的方向;第三类研究内在研究较差,需要加强自身研究,丰富主题内容。结论多元统计直观展示了近年来DR基因相关的研究现状、热点和趋势,为科研提供了参考信息。

Objective To survey the distribution pattern and knowledge structure of diabetic retinopathy(DR)-related genes based on a literature search in the PubMed database.Methods Scientific papers published between January 1,2010 and December 31,2017 were retrieved.The extracted MeSH terms were analyzed quantitatively using bibliographic item co-occurrence mining system(BICOMS),and MeSH terms used frequently were identified.Hierarchical cluster analysis was conducted with SPSS 19.0 according to the MeSH termsource article matrix.A high-frequency MeSH terms co-occurrence matrix was constructed to support a strategic diagram.Results According to the search strategy,1 193 papers were included.Among all those extracted,44 high-frequency MeSH terms were identified,and hotspots were clustered into 5 categories.In the strategic diagram,cluster 1 and 5 were well developed.In contrast,cluster 2 and 4 were not well established,indicating the possibility for further research in the field.Conclusion Studies on DR genes are relatively diverse,and the 5 research categories derived from this study may reflect publication trends for DR-related genes to some extent.Quantitative bibliometric research for a 7-year period could aid in depicting the overall command of the latest topics and provide some hints for researchers initiating new projects.