中国全科医学 ›› 2022, Vol. 25 ›› Issue (24): 2960-2964.DOI: 10.12114/j.issn.1007-9572.2021.02.081

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2000—2020年中国多重耐药菌研究热点的可视化分析

章琦1, 李宝珍1, 郑雪梅1, 平宝华1, 王晓艳1, 李倩1,2,*()   

  1. 1710061 陕西省西安市,西安交通大学第一附属医院感染控制办公室
    2710049 陕西省西安市,西安交通大学公共政策与管理学院
  • 收稿日期:2021-10-17 修回日期:2022-02-12 出版日期:2022-08-20 发布日期:2022-05-26
  • 通讯作者: 李倩
  • 章琦,李宝珍,郑雪梅,等. 2000—2020年中国多重耐药菌研究热点的可视化分析[J].中国全科医学,2022,25(24):2960-2964. [www.chinagp.net]
    作者贡献:章琦进行文章的构思,研究的设计与可行性分析,文献/资料收集与整理,负责撰写论文;李宝珍、郑雪梅、平宝华、王晓艳负责指导文章的撰写与部分内容修改;李倩负责文章的质量控制,对文章整体负责。
  • 基金资助:
    西安交通大学第一附属医院科研发展基金(2020-RKX-12)

Research Hotspots of Multidrug-resistant Organisms in China from 2000 to 2020: a Visualization Analysis

Qi ZHANG1, Baozhen LI1, Xuemei ZHENG1, Baohua PING1, Xiaoyan WANG1, Qian LI1,2,*()   

  1. 1Department of Infection Control, the First Affiliated Hospital of Xi'an Jiaotong University, Xi'an 710061, China
    2School of Public Policy and Administration, Xi'an Jiaotong University, Xi'an 710049, China
  • Received:2021-10-17 Revised:2022-02-12 Published:2022-08-20 Online:2022-05-26
  • Contact: Qian LI
  • About author:
    ZHANG Q, LI B Z, ZHENG X M, et al. Research hotspots of multidrug-resistant organisms in China from 2000 to 2020: a visualization analysis[J]. Chinese General Practice, 2022, 25 (24) : 2960-2964.

摘要: 背景 多重耐药菌可导致医院感染风险增加,给患者家庭及社会带来巨大经济负担,分析多重耐药菌研究现状及热点对今后深入开展细菌耐药性研究具有重要意义。 目的 分析2000—2020年中国多重耐药菌研究热点。 方法 通过CiteSpace软件、文献计量学方法对近20年来在中国知网上发布的与多重耐药菌相关的文献进行可视化分析,包括相关文献增长规律、高频关键词、研究热点的演变等。 结果 根据所获得的3 808篇有效文献,2000—2020年我国多重耐药菌相关研究总体呈现上升趋势,其中2000—2004年为低产出期,2005—2009年为缓慢增长期,2010—2015年为快速增长期,2016—2018年为相对平稳期,2019—2020年为后续发展期。关键词共现关系网络共识别出221个节点、302条连线,除多重耐药菌、多重耐药外,出现频次排在前20位的关键词中医院感染、多重耐药菌感染、铜绿假单胞菌、ICU、大肠杆菌、抗药性、抗生素、肺炎克雷伯菌、药敏试验、重症监护室的中心性均≥0.10。通过关键词聚类分析将关键词共现关系网络聚类为15个"簇",主要围绕以下4个主题展开:多重耐药菌种、多重耐药菌感染及预后、引发多重耐药菌感染疾病、多重耐药菌产生机制及防控。2000—2013年高被引突现词主要集中在耐药菌株、耐药性、抗生素、整合子等,2013年之后没有出现突现词。 结论 我国2000—2020年多重耐药菌相关研究总体呈现上升趋势,医院感染、抗生素、重点耐药菌株、整合子等是研究热点,但耐药性监测方面的研究较少。

关键词: 抗药性,多种,细菌, 数据可视化, 多重耐药菌, 可视化分析, CiteSpace, 文献计量学

Abstract:

Background

Multidrug-resistant organisms (MDROs) may increase the risk of nosocomial infection and impose great economic burden on patients' families and society. So it is of great significance to analyze the status, especially hotspots of research on MDROs for further research.

Objective

To analyze the research hotspots of MDROs in China from 2000 to 2020.

Methods

CiteSpace and bibliometric methods were used to conduct a visualization analysis of studies related to MDROs included in CNKI database of China in recent 20 years, involving the regularity of growth, high-frequency keywords, evolution of research hotspots and so on.

Results

In all, 3 808 studies were included. The number of these studies published during 2000—2020 demonstrated an upward trend in general, and could be divided into five stages: low output (2000—2004) , slow growth (2005—2009) , rapid growth (2010—2015) , relatively stable growth (2016—2018) and further development (2019—2020) . A total of 221 nodes and 302 edges were found by keywords co-occurrence network analysis. And besides MDROs and multidrug resistance, the central value of other 10 of the top 20 most frequently used keywords was equal or over 0.10, including nosocomial infection, multiple drug-resistant bacterial infections, Pseudomonas aeruginosa, ICU, Escherichia coli, drug resistance, antibiotics, Klebsiella pneumoniae, drug sensitivity test, and intensive care unit. The keywords were clustered into 15 clusters by cluster analysis, mainly included the following four themes: multiple resistant strains, multidrug-resistant bacteria infection and prognosis, diseases leading to multiple drug-resistant bacteria infections, generation mechanism and prevention and control of MDROs. The highly cited burst-related words mainly were drug resistant strains, drug resistance, antibacterial agents, and integron from 2000 to 2013, but there were no burst-related words after 2013.

Conclusion

The number of studies about MDROs in China demonstrated an overall upward trend from 2000 to 2020, with nosocomial infection, antibacterial agents, key drug-resistant strains and integron as the research hotspots, but few of them were about surveillance of drug resistance.

Key words: Drug resistance, multiple, bacterial, Data visualization, Multidrug resistance bacteria, Visual analysis, CiteSpace, Bibliometrics