Zhang Y, Dai Z, Zhao T, Tian J, Xu J, Zhang J. Publication Trends and Hot Spots in Cauda Equina Syndrome: A Bibliometric Analysis and Visualization of Current Research.
World Neurosurg 2023;
173:115-121. [PMID:
36754352 DOI:
10.1016/j.wneu.2023.01.119]
[Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/15/2022] [Revised: 01/30/2023] [Accepted: 01/31/2023] [Indexed: 02/08/2023]
Abstract
BACKGROUND
Cauda Equina Syndrome (CES) is a relatively uncommon and complex disorder. Recently, there has been a surge in research on CES. Although the research directions are multifarious, the overall research trends are unclear at present. We aimed to identify the 100 most cited articles on CES and analyze the hot spots trends regarding CES related research by bibliometric analysis.
METHODS
Articles were obtained by conducting an English language search of the Web of Science Core Collection Databases with the keywords "cauda equina syndrome." The initial 390 articles returned from the search were analyzed by VOSviewer. Next, the top 100 most cited articles were further analyzed by title, authors, journal, year of publication, total citations, country of origin, institution, and keywords.
RESULTS
A total of 390 publications were identified. The top 100 most cited articles were listed in descending order of total citations (range: 196-11). These articles originated from 24 countries; among these countries, the United Kingdom contributed the most publications (n = 29). The most prolific journal was Spine (n = 27), and the University of Edinburgh was the most productive institution (n = 9).
CONCLUSIONS
The number of publications on CES increased steadily, with a stable rise in recent years. Some publications have been cited more than 100 times, indicating that these findings are widely accepted by relevant clinicians and contribute significantly to the knowledge of CES. This study represents the first bibliometric analysis and visualization of hot spots analysis and research trends on CES. We believe that this will aid clinical researchers in targeting future areas of research.
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