Zhao Fangkun, Shi Bei, Liu Ruixin, Zhou Wenkai, Shi Dong, Zhang Jinsong
Department of Ophthalmology, The Fourth Affiliated Hospital of China Medical University, Shenyang, China.
Eye hospital of China Medical University, Shenyang, China.
BMC Ophthalmol. 2018 Apr 3;18(1):86. doi: 10.1186/s12886-018-0752-z.
The distribution pattern and knowledge structure of choroidal neovascularization (CNV) was surveyed based on literatures in PubMed.
Published scientific papers about CNV were retrieved from Jan 1st, 2012 to May 31st, 2017. Extracted MeSH terms were analyzed quantitatively by using Bibliographic Item Co-Occurrence Matrix Builder (BICOMB) and high-frequency MeSH terms were identified. Hierarchical cluster analysis was conducted by SPSS 19.0 according to the MeSH term-source article matrix. High-frequency MeSH terms co-occurrence matrix was constructed to support strategic diagram and social network analysis (SNA).
According to the searching strategy, all together 2366 papers were included, and the number of annual papers changed slightly from Jan 1st, 2012 to May 31st, 2017. Among all the extracted MeSH terms, 44 high-frequency MeSH terms were identified and hotspots were clustered into 6 categories. In the strategic diagram, clinical drug therapy, pathology and diagnosis related researches of CNV were well developed. In contrast, the metabolism, etiology, complications, prevention and control of CNV in animal models, and genetics related researches of CNV were relatively immature, which offers potential research space for future study. As for the SNA result, the position status of each component was described by the centrality values.
The studies on CNV are relatively divergent and the 6 research categories concluded from this study could reflect the publication trends on CNV to some extent. By providing a quantitative bibliometric research across a 5-year span, it could help to depict an overall command of the latest topics and provide some hints for researchers when launching new projects.
基于PubMed中的文献，对脉络膜新生血管（CNV）的分布模式和知识结构进行了调查。
检索2012年1月1日至2017年5月31日发表的关于CNV的科学论文。使用文献共现矩阵构建器（BICOMB）对提取的医学主题词（MeSH）进行定量分析，并确定高频MeSH词。根据MeSH词-源文章矩阵，采用SPSS 19.0进行层次聚类分析。构建高频MeSH词共现矩阵以支持战略图和社会网络分析（SNA）。
根据检索策略，共纳入2366篇论文，2012年1月1日至2017年5月31日期间每年的论文数量变化不大。在所有提取的MeSH词中，确定了44个高频MeSH词，并将热点聚类为6类。在战略图中，CNV的临床药物治疗、病理学和诊断相关研究发展良好。相比之下，CNV在动物模型中的代谢、病因、并发症、预防和控制以及CNV的遗传学相关研究相对不成熟，这为未来的研究提供了潜在的研究空间。至于SNA结果，通过中心性值描述了每个组件的位置状态。
关于CNV的研究相对分散，本研究得出的6个研究类别在一定程度上可以反映CNV的发表趋势。通过提供跨越5年的定量文献计量研究，有助于描绘对最新主题的总体掌握情况，并为研究人员开展新项目提供一些提示。
