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从文献计量学角度看脊髓型颈椎病的研究现状与趋势

Current Status and Trends of Research on Cervical Spondylotic Myelopathy from the Perspective of Bibliometrics.

作者信息

Liu Shuanghe, Wang Dian, Liu Yibo, Zeng Zheng

机构信息

Department of Orthopaedic Surgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.

Department of Orthopaedic Surgery, Beijing Anzhen Hospital, Capital Medical University, Beijing, China.

出版信息

World Neurosurg. 2024 Nov;191:172-185. doi: 10.1016/j.wneu.2024.08.089. Epub 2024 Aug 24.

Abstract

This review was performed to analyze the research on cervical spondylotic myelopathy published during the past 25 years, summarize the developments in existing research, and predict future hotspots in the field. The goal is to provide a comprehensive overview and exploration of developments in this research area. A bibliometric analysis was performed using CiteSpace and VOSviewer to quantitatively and visually analyze relevant literature from Web of Science between 1998 and 2023. Co-occurrence analysis and co-citation analysis were conducted to evaluate papers, authors, journals, countries, and keywords. In total, 1886 papers were included. The overall publication output in this field increased throughout the review period. Stable author collaboration groups were formed, with the most influential author being Fehlings M.G. Japan and the United States contributed the highest number of publications. The predicted future research hotspots include risk factor analysis, outcome prediction, and machine learning. This study provides both an overview of the research trajectory in the field of cervical spondylotic myelopathy for scholars interested in this area, as well as offering insights and references for future research directions in the field.

摘要

本综述旨在分析过去25年发表的关于脊髓型颈椎病的研究,总结现有研究的进展,并预测该领域未来的热点。目的是对该研究领域的发展进行全面概述和探索。使用CiteSpace和VOSviewer进行文献计量分析,以定量和可视化方式分析1998年至2023年期间来自Web of Science的相关文献。进行共现分析和共被引分析以评估论文、作者、期刊、国家和关键词。总共纳入了1886篇论文。在整个综述期间,该领域的总体发表量有所增加。形成了稳定的作者合作群体,最具影响力的作者是Fehlings M.G.。日本和美国的出版物数量最多。预测的未来研究热点包括危险因素分析、结果预测和机器学习。本研究为对该领域感兴趣的学者提供了脊髓型颈椎病领域研究轨迹的概述,也为该领域未来的研究方向提供了见解和参考。

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