{"title":"Laryngeal Dystonia: A Global Retrospective Study Through Bibliometric Analysis.","authors":"Yuanjia Hu, Lu Xing, Peiyun Zhuang","doi":"10.1016/j.jvoice.2025.01.029","DOIUrl":null,"url":null,"abstract":"<p><strong>Objectives: </strong>This study aims to comprehensively analyze global research trends and developments in laryngeal dystonia (LD), providing valuable insights into the current state of LD research and highlighting emerging areas for future investigation, with particular focus on the role of novel technologies and interdisciplinary collaborations.</p><p><strong>Methods: </strong>We conducted a bibliometric analysis of 497 studies on LD retrieved from PubMed, CINAHL, Embase, Scopus, and Web of Science, spanning from 1971 to 2023. Utilizing R, VOSviewer, and Citespace, we examined the characteristics and trends of the accumulated scientific literature, aiming to offer comprehensive insights and directions for future research.</p><p><strong>Results: </strong>The analysis revealed substantial growth in publications, with significant contributions from 1555 authors across 120 journals. The United States, Japan, and Canada were the leading contributors. Notably, 44.5% of the studies appeared in four core journals, including the Journal of Voice. Research was largely supported by 372 grants, predominantly from the National Institutes of Health (USA). Emerging research areas include treatments for LD, assessment tools, and innovative fields such as artificial intelligence (AI), cortical silent periods (CSP), and deep brain stimulation (DBS).</p><p><strong>Conclusions: </strong>Despite the growing research interest in LD, substantial breakthroughs remain scarce. Collaborative international efforts are essential to drive innovative advancements in LD research, particularly by leveraging new technologies such as AI, to sustain and accelerate development in this evolving field.</p>","PeriodicalId":49954,"journal":{"name":"Journal of Voice","volume":" ","pages":""},"PeriodicalIF":2.4000,"publicationDate":"2025-02-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Voice","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1016/j.jvoice.2025.01.029","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"AUDIOLOGY & SPEECH-LANGUAGE PATHOLOGY","Score":null,"Total":0}
引用次数: 0
Abstract
Objectives: This study aims to comprehensively analyze global research trends and developments in laryngeal dystonia (LD), providing valuable insights into the current state of LD research and highlighting emerging areas for future investigation, with particular focus on the role of novel technologies and interdisciplinary collaborations.
Methods: We conducted a bibliometric analysis of 497 studies on LD retrieved from PubMed, CINAHL, Embase, Scopus, and Web of Science, spanning from 1971 to 2023. Utilizing R, VOSviewer, and Citespace, we examined the characteristics and trends of the accumulated scientific literature, aiming to offer comprehensive insights and directions for future research.
Results: The analysis revealed substantial growth in publications, with significant contributions from 1555 authors across 120 journals. The United States, Japan, and Canada were the leading contributors. Notably, 44.5% of the studies appeared in four core journals, including the Journal of Voice. Research was largely supported by 372 grants, predominantly from the National Institutes of Health (USA). Emerging research areas include treatments for LD, assessment tools, and innovative fields such as artificial intelligence (AI), cortical silent periods (CSP), and deep brain stimulation (DBS).
Conclusions: Despite the growing research interest in LD, substantial breakthroughs remain scarce. Collaborative international efforts are essential to drive innovative advancements in LD research, particularly by leveraging new technologies such as AI, to sustain and accelerate development in this evolving field.
目的：本研究旨在全面分析喉张力障碍（LD）的全球研究趋势和发展，为LD的研究现状提供有价值的见解，并突出未来研究的新兴领域，特别关注新技术和跨学科合作的作用。方法：我们对从PubMed、CINAHL、Embase、Scopus和Web of Science检索的497篇LD研究进行了文献计量学分析，时间跨度为1971 - 2023年。利用R、VOSviewer和Citespace等工具，对积累的科学文献的特征和趋势进行分析，以期为今后的研究提供全面的见解和方向。结果：分析显示，发表论文数量大幅增长，120种期刊的1555位作者做出了重要贡献。美国、日本和加拿大是主要捐助国。值得注意的是，44.5%的研究发表在四种核心期刊上，包括《声音杂志》（Journal of Voice）。研究主要得到372笔赠款的支持，主要来自美国国立卫生研究院。新兴的研究领域包括LD的治疗、评估工具，以及人工智能（AI）、皮质沉默期（CSP）和深部脑刺激（DBS）等创新领域。结论：尽管对LD的研究兴趣日益浓厚，但实质性的突破仍然很少。国际合作对于推动LD研究的创新进步至关重要，特别是通过利用人工智能等新技术，以维持和加速这一不断发展的领域的发展。
期刊介绍：
The Journal of Voice is widely regarded as the world''s premiere journal for voice medicine and research. This peer-reviewed publication is listed in Index Medicus and is indexed by the Institute for Scientific Information. The journal contains articles written by experts throughout the world on all topics in voice sciences, voice medicine and surgery, and speech-language pathologists'' management of voice-related problems. The journal includes clinical articles, clinical research, and laboratory research. Members of the Foundation receive the journal as a benefit of membership.
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