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基于公共重症监护数据库的研究现状和趋势：一项科学计量学研究。

Current status and trends in researches based on public intensive care databases: A scientometric investigation.

机构信息

Department of Pharmacy, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.

出版信息

Front Public Health. 2022 Sep 15;10:912151. doi: 10.3389/fpubh.2022.912151. eCollection 2022.

DOI:10.3389/fpubh.2022.912151
PMID:36187634
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9521614/
Abstract

OBJECTIVE: Public intensive care databases cover a wide range of data that are produced in intensive care units (ICUs). Public intensive care databases draw great attention from researchers since they were time-saving and money-saving in obtaining data. This study aimed to explore the current status and trends of publications based on public intensive care databases. METHODS: Articles and reviews based on public intensive care databases, published from 2001 to 2021, were retrieved from the Web of Science Core Collection (WoSCC) for investigation. Scientometric software (CiteSpace and VOSviewer) were used to generate network maps and reveal hot spots of studies based on public intensive care databases. RESULTS: A total of 456 studies were collected. Zhang Zhongheng from Zhejiang University (China) and Leo Anthony Celi from Massachusetts Institute of Technology (MIT, USA) occupied important positions in studies based on public intensive care databases. Closer cooperation was observed between institutions in the same country. Six Research Topics were concluded through keyword analysis. Result of citation burst indicated that this field was in the stage of rapid development, with more diseases and clinical problems being investigated. Machine learning is still the hot research method in this field. CONCLUSIONS: This is the first time that scientometrics has been used in the investigation of studies based on public intensive databases. Although more and more studies based on public intensive care databases were published, public intensive care databases may not be fully explored. Moreover, it could also help researchers directly perceive the current status and trends in this field. Public intensive care databases could be fully explored with more researchers' knowledge of this field.

摘要

目的：公共重症监护数据库涵盖了重症监护病房（ICU）产生的广泛数据。公共重症监护数据库在数据获取方面省时省钱，因此引起了研究人员的极大关注。本研究旨在探讨基于公共重症监护数据库的出版物的现状和趋势。

方法：从 Web of Science 核心合集（WoSCC）中检索了 2001 年至 2021 年发表的基于公共重症监护数据库的文章和综述，使用科学计量软件（CiteSpace 和 VOSviewer）生成网络图谱，揭示基于公共重症监护数据库的研究热点。

结果：共收集到 456 项研究。来自中国浙江大学的张忠恒和来自美国麻省理工学院的 Leo Anthony Celi 在基于公共重症监护数据库的研究中占据重要地位。同一国家的机构之间观察到了更密切的合作。通过关键词分析得出了六个研究主题。引文爆发的结果表明，该领域正处于快速发展阶段，更多的疾病和临床问题正在被研究。机器学习仍然是该领域的热门研究方法。

结论：这是首次使用科学计量学方法对基于公共重症监护数据库的研究进行调查。虽然发表的基于公共重症监护数据库的研究越来越多，但对公共重症监护数据库的研究可能尚未充分开展。此外，这也有助于研究人员直接了解该领域的现状和趋势。随着更多研究人员对该领域的了解，可以更充分地探索公共重症监护数据库。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c520/9521614/74821ec380e1/fpubh-10-912151-g0003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c520/9521614/b7a1fe1709ed/fpubh-10-912151-g0001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c520/9521614/d7da91aed774/fpubh-10-912151-g0002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c520/9521614/74821ec380e1/fpubh-10-912151-g0003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c520/9521614/b7a1fe1709ed/fpubh-10-912151-g0001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c520/9521614/d7da91aed774/fpubh-10-912151-g0002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c520/9521614/74821ec380e1/fpubh-10-912151-g0003.jpg

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Mil Med Res. 2021-8-11

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