基于多元统计和社会网络分析PubMed数据库儿童心血管学科知识发展可视化研究

目的 通过多元统计和社会网络分析法中主题词共现的方式,研究儿童心血管学科知识发展、分布,研究学科知识聚类,并预测未来发展趋势。方法 于2012年12月以PubMed数据库心血管疾病Mesh主题树下全部主要主题词/副主题词,选取全部心血管专科杂志,影响因子>1的内科综合杂志和儿科学杂志检索文献,同时将研究分为1966至1980年、1981至1990年、1991至2000年和2001至2010年4个时间段,在每个时间段中分别使用书目共现分析系统及Endnote X6提取主要主题词/副主题词,建立共词矩阵。之后使用SPSS 22.0软件对共现矩阵进行转换、降维和聚类分析,并根据聚类分析结果绘制战略坐标图。最后使用Ucinet 6.0软件绘制可视化网络。结果 共提取文献50 200篇。成功建立儿童心血管学科知识发展可视化图谱,直观展示全球范围内儿童心血管学科知识发展。1966至1980年儿童心血管学科以心血管疾病的病理生理学及病因学研究为主,发展方向相对局限,所关注疾病种类较少。1981至1990年先天性心脏病逐步成为研究核心,聚类归纳较好,新兴研究领域发展稍显不足;同时通过超声心动图的广泛应用,在一定程度上推动整个学科发展。1991至2010年先天性心脏病整体治疗及保护性策略研究成为核心,并伴随多种治疗手段如导管治疗、心脏移植等的逐步应用,各个聚类间发展更为平衡,知识更新快速,学科研究所关注疾病种类进一步增多。结论 目前儿童心血管学科发展良好,研究热点与时代发展相联系。新型诊断技术及治疗手段对于学科发展推动力显著,儿童心血管学科知识网络逐渐完善,先天性心脏病已成为儿童心血管学科的核心问题。

Visualized subject knowledge-mapping study on the subject of pediatric cardiovascular medicine based on multiple statistical and social network analysis

Objective To study the subject domain knowledge of discipline development of pediatric cardiovascular medicine worldwide using multiple statistical and social network analysis, to build visualized knowledge-mapping. Methods The Pubmed under the Mesh term "Cardiovascular Disease" within all the journals of cardiovascular disease medicine, and journals of general medicine and pediatrics with impact factors above 1 were searched in December 2012. Then the whole period was diveded into 4 stages, 1966-1980, 1981-1990, 1991-2000 and 2001-2010. After core keywords had been identified by Bicomb and Endnote X6 in each stage, the co-occurrence matrix was built. Transformation, dimensionality reduction and clustering of the co-occurrence matrix were performed by SPSS 22.0 software, leading the strategic plot to be built. The visualized network images were drawn using Ucinet 6.0. Results Finally 50 200 articles were included in the analysis. The visualized domain knowledge-mapping was successfully built, and it directly reflected the structure of knowledge-mapping of the discipline development, and key clusters were formed as well. Early term of the development of pediatric cardiovascular medicine headed slowly with limited directions, and the pediatric cardiovascular physiopathology and etiology were the domain research area. In the middle term, the development surrounded congenital heart disease, and cluster analysis was improved well. But the emerging research topics needed more contribution to be made to catch up the development of mature topics. Besides, echocardiography was carried into practice and made great contribution to this subject development. In the latest term, comprehensive treatment and protective strategies of congenital heart disease became the core of whole subject with new technology such as cardiac catheterization and heart transplantation. The research network went more balanced and scientifically with great knowledge updated and much more focuses were identified in social network. Conclusion The multiple statistical and social network analysis, and finally built visualized knowledge-mapping demonstrates that the subjects of pediatric cardiovascular medicine have developed well during last almost 60 years. New treatments and diagnostic methods play important roles in subject development, the network of pediatric cardiovascular medicine have become mature and completed, and congenital heart disease is the most core research area for pediatric cardiovascular doctors and investigators.