Visualization studies on research status of the ventilator-associated pneumonia based on SinoMed database
10.3760/cma.j.issn.2095-4352.2018.11.004
- VernacularTitle:基于中国生物医学文献数据库的VAP研究现状的可视化分析
- Author:
Jing ZHAO
1
,
2
;
Liqin ZHANG
;
Dongquan ZHANG
;
Jinhui TIAN
;
Tianpeng HE
;
Dong GONG
;
Yuan YUAN
Author Information
1. 730000 甘肃兰州,甘肃省人民医院重症医学科
2. 730000 甘肃兰州,甘肃中医药大学
- Keywords:
Ventilator-associated pneumonia;
Cluster analysis;
Information visualization;
Research topic
- From:
Chinese Critical Care Medicine
2018;30(11):1029-1035
- CountryChina
- Language:Chinese
-
Abstract:
Objective To survey the distribution pattern and subject domain knowledge of the literatures about ventilator-associated pneumonia (VAP). Methods Literatures about VAP published until December 2017 were identified in SinoMed database for statistics and analysis. The information of author, organization and province was extracted by BICOMS software for generating co-occurrence matrix, at the same time, the topic words were cluster analyzed by Gcluto software to generate topical visual surface maps and visualization matrices, and the current research hotspots were analyzed. NetDraw from Ucinet 6.0 software was used to arrange the relationship among topic words according to the centrality, and the social network diagrams of authors, authors' provinces and institutions were draw to analyze the current status of VAP research cooperation. Results 4 851 VAP-related literatures were retrieved preliminarily, and 43 were excluded from abstracts, news reports, information and missing literatures. Finally, a total of 4 808 articles were enrolled in the visual analysis. From 2001 to 2004, the number of VAP-related literatures published was less than 10. Since 2009, the number of VAP documents had increased steadily, from 2010 to 2017, the peak period of publications reached 91.7% (4 411/4 808). According to the analysis of the amount of publications, the top three of 34 provincial administrative regions that published VAP-related literature in China were Guangdong Province (n = 628), Jiangsu Province (n = 478) and Zhejiang Province (n = 404), the number of hospitals issued by the First Affiliated Hospital of Chongqing Medical University was the largest (n = 20); there was only one journal with more than 100 articles, and there were 154 journals with only one article, accounting for 34.8% of the total number of journals. A total of 9 921 authors participated in the VAP-related literature writing, the number of high-yielding authors was not large, and the institution could not establish an effective social network diagram, suggesting that communication and cooperation should be strengthened in hospitals and outside hospitals. The results of the topic words social network analysis showed that the VAP research field was centered around the core of "mechanical ventilation", "intensive care unit (ICU)", "risk factor analysis", "nursing", "etiological analysis", "preventive measures" and "pathogens". The current research hotspots were at the edge of the network map, such as "drug sensitivity analysis", "Acinetobacter baumannii", "bronohoalveolar lavage (BAL)" and "acute exacerbation of chronic obstructive pulmonary disease (AECOPD)". By clustering 80 high-frequency topic words, at present, VAP research hotspots were mainly focus on five topics: obstructive pulmonary disease, especially in acute exacerbation, was prone to VAP; concerned about newborns and children's VAP; types, drug resistance and selection of antimicrobial agents for VAP pathogens in ICU; clinical efficacy and prognosis of VAP through preventive measures, pulmonary supportive care and comprehensive care interventions; oral care and airway management during mechanical ventilation was also the key aspect of the treatment of VAP. Conclusions In recent years, the academics had attached great importance to the study of VAP, the number of publications had reached a historical peak, and the research direction was diverse. However, it was necessary to strengthen cooperation among research institutes, collect and count epidemiological data, improve and expand the research quality and scale of clinical diagnosis, nurse, prevention, pathogen distribution and drug resistance analysis.
