Yan Huang, Yantong Wan, Jie Chen, Mengchen Qin, Jieyan Wang, Hui Liang
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引用次数: 0
Abstract
Background: Amyotrophic Lateral Sclerosis (ALS) is a severe neurodegenerative disease, and there is currently an urgent need to identify valuable biomarkers to accelerate diagnosis, optimize treatment and prognosis.
Methods: To conduct a bibliometric analysis of publications related to "ALS biomarker" over the past 20 years, utilizing the subject search feature of the Web of Science Core Collection along with CiteSpace, VOSviewer, and Bibliometrix.
Results: This review presents a 20-year bibliometric analysis of ALS biomarker research (2004-2024), analyzing 2535 publications showing rising trends. The United States led contributions, with Turner, Martin R as the most productive/cited author. Key research hotspots included cerebrospinal fluid, tdp-43, clinical trial, and neuroinflammation. Topics such as neurofilament light chain, machine learning, and exosomes could potentially represent the cutting edge of future research.
Conclusion: In summary, this study uses bibliometric analysis of ALS biomarker research to provide a forward-looking perspective on its future limitations and potential.
背景：肌萎缩性侧索硬化症（ALS）是一种严重的神经退行性疾病，目前迫切需要识别有价值的生物标志物来加速诊断、优化治疗和预后。方法：利用Web of Science核心馆藏的主题检索功能，结合CiteSpace、VOSviewer和Bibliometrix对近20年来与“ALS biomarker”相关的出版物进行文献计量学分析。结果：本文回顾了20年来ALS生物标志物研究的文献计量学分析（2004-2024），分析了2535篇显示上升趋势的出版物。美国的贡献最大，其中Turner， Martin R是最多产/被引用最多的作者。重点研究热点包括脑脊液、tdp-43、临床试验、神经炎症等。神经丝轻链、机器学习和外泌体等主题可能代表未来研究的前沿。结论：总之，本研究利用文献计量学分析ALS生物标志物研究，为其未来的局限性和潜力提供了前瞻性的视角。
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