利用共词分析探讨新生儿败血症诊断研究现状

A co-word cluster analysis of the current status of neonatal sepsis diagnosis

目的探讨新生儿败血症诊断研究现状。方法以2012—2015年pubmed数据库中收录的新生儿败血症诊断相关文献的主题词作为分析对象,利用书目共现分析系统(BICOMB)进行词频统计,提取高频主题词,再利用SPSS 17.0统计软件对所提取的高频主题词进行共词聚类统计,生成树状图,并进行分析,总结各主题词间关系,形成多个类点,反应该领域的研究现状。结果最终纳入文献455篇,共计2 108个主题词,提取高频主题词28个,其中C-reaction protein/metabolism和Protein Precursors/blood词频最高,共6次,结合树状图进行分析,将新生儿败血症诊断研究热点总结为5个方面:(1)血液中的蛋白和细胞因子;(2)新生儿代谢组学及免疫组学;(3)新生儿败血症与基因;(4)分子生物学技术协助新生儿败血症诊断;(5)新生儿败血症时机体的物理变化。结论多个指标联合综合分析判断仍是目前诊断新生儿败血症的主要方法,一些新型指标正在研究中。

Objective To study the current status of neonatal sepsis diagnosis. Methods Articles on diagnosis of neonatal sepsis published on Pubmed from 2012 to 2015 were searched, and the MeSH（Medical Subject Headings）trms contained in the articles were analyzed. MeSH terms frequency were analyzed using co-word cluster analysis method. BICOMB and SPSS 17.0 were used for co- occurrence analysis. Results A total of 455 papers were included, 2108 MeSH terms and 28 high- frequency MeSH terms were extracted. C-reaction protein/metabolism and protein precursors/blood were of the highest frequency which appeared 6 times. The current hot topics of researches on the diagnosis of neonatal sepsis were displayed, and the relationships among different high-frequency MeSH terms were presented. The hot topics of this area were summarized into five categories ： （ 1 ） protein precursor and cytokines ; （2） Metabolomics and immunomics ; （ 3 ） genes and neonatal sepsis ; （4） molecular biology techniques to aide the diagnosis of neonatal sepsis; （5） physical changes occurred during neonatal sepsis. Conclusions Combination of several indicators is the mainstream in the diagnosis of neonatal sepsis, while some new indicators are under development.