Lawrence Huang, Steven H Hsu, Yi Ting Chuang, Yu Hsuan Tang, Hsien Yung Lai
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Performing a bibliometric analysis of the most cited articles in this domain offers quantitative and qualitative insights into the landscape and trend of key research; our analysis revealed an increasing focus on video laryngoscopy research over the past decade, with a notable surge in studies related to airway management during infectious disease outbreaks in recent years.</p><p><strong>Methods: </strong>We performed a bibliometric analysis of the 100 most-cited articles on DAM (Top100DAM) published between 2011 and 2022, sourced from both PubMed and Web of Science databases. Employing social network analysis, we identified key associated topics and cluster terms. Cluster terms are broad categories encompassing related topic terms. Topic terms are specific keywords or phrases found in the articles. Citation counts were estimated for each article, and cluster-specific reviews were generated using the Medical Query Expert software.</p><p><strong>Results: </strong>The Top100DAM comprised 53 topic terms spanning 11 cluster terms. \"Anesthesiology\" stood out as the most frequently featured cluster, and \"betacoronavirus\" had the highest Impact Factor. There was a significant correlation between the counts between the inferred citation based on cluster terms and the observed citation (Pearson's R = 0.06, P = 0.02). To visualize, the network visualization and Sankey diagrams were used to illustrate the characteristics of the articles. The generated summary, utilizing natural language processing techniques, underscored the role of fiber-optic technology and video laryngoscopy in addressing DAM. During the COVID-19 pandemic, experts recommended the provision of supplemental oxygen and the prioritization of video laryngoscopy for anticipated DAM scenarios. Notably, the most cited articles predominantly concentrated on the importance of practice driven by guidelines and protocols for clinicians and anesthesiologists to manage difficult airways effectively.</p><p><strong>Conclusion: </strong>DAM plays a central role in anesthesiology research, with a significant emphasis on guideline development, technological advancements like video laryngoscopy, and adapting practices for infectious disease scenarios. The increased publication volume and high citation rates during the COVID-19 pandemic underscore how ongoing research and innovation have accelerated, refining DAM practices. Articles with high citation rates mostly pertain to guidelines, illustrating their substantial impact on clinical practice and the necessity for studies to base their discussions on these guidelines. Future research should focus on addressing the implementation challenges of existing guidelines and developing context-specific protocols for diverse clinical settings.</p>","PeriodicalId":8482,"journal":{"name":"Asian journal of anesthesiology","volume":"62 1","pages":"46-62"},"PeriodicalIF":0.0000,"publicationDate":"2024-12-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Top 100 Most-Cited Articles on Difficult Airway Management From 2011 to 2022: A Bibliometric Analysis.\",\"authors\":\"Lawrence Huang, Steven H Hsu, Yi Ting Chuang, Yu Hsuan Tang, Hsien Yung Lai\",\"doi\":\"10.6859/aja.202403_62(1).0006\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Background: </strong>Difficult airway management (DAM) presents a complex array of challenges inherent in establishing and maintaining a patient's airway during medical procedures or emergencies. Consequences of compromised DAM are profound, ranging from hypoxia, and aspiration, to cardiac arrest. Despite the ongoing progress and innovation in airway management, DAM remains a significant clinical challenge. Performing a bibliometric analysis of the most cited articles in this domain offers quantitative and qualitative insights into the landscape and trend of key research; our analysis revealed an increasing focus on video laryngoscopy research over the past decade, with a notable surge in studies related to airway management during infectious disease outbreaks in recent years.</p><p><strong>Methods: </strong>We performed a bibliometric analysis of the 100 most-cited articles on DAM (Top100DAM) published between 2011 and 2022, sourced from both PubMed and Web of Science databases. Employing social network analysis, we identified key associated topics and cluster terms. Cluster terms are broad categories encompassing related topic terms. Topic terms are specific keywords or phrases found in the articles. Citation counts were estimated for each article, and cluster-specific reviews were generated using the Medical Query Expert software.</p><p><strong>Results: </strong>The Top100DAM comprised 53 topic terms spanning 11 cluster terms. \\\"Anesthesiology\\\" stood out as the most frequently featured cluster, and \\\"betacoronavirus\\\" had the highest Impact Factor. There was a significant correlation between the counts between the inferred citation based on cluster terms and the observed citation (Pearson's R = 0.06, P = 0.02). To visualize, the network visualization and Sankey diagrams were used to illustrate the characteristics of the articles. The generated summary, utilizing natural language processing techniques, underscored the role of fiber-optic technology and video laryngoscopy in addressing DAM. 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引用次数: 0
摘要
背景:在医疗程序或紧急情况下,气道管理困难(DAM)在建立和维持患者气道方面提出了一系列复杂的挑战。DAM受损的后果是深远的,从缺氧、误吸到心脏骤停。尽管气道管理不断进步和创新,但DAM仍然是一个重大的临床挑战。对该领域被引用次数最多的文章进行文献计量分析,为关键研究的前景和趋势提供定量和定性的见解;我们的分析显示,在过去的十年中,人们越来越关注视频喉镜的研究,近年来,与传染病爆发期间气道管理相关的研究显著增加。方法:我们对2011年至2022年间发表的100篇被引用最多的DAM (Top100DAM)文章进行了文献计量学分析,这些文章来自PubMed和Web of Science数据库。利用社会网络分析,我们确定了关键的相关主题和聚类术语。聚类术语是包含相关主题术语的广泛类别。主题术语是在文章中找到的特定关键词或短语。估计每篇文章的引用数,并使用Medical Query Expert软件生成特定于集群的评论。结果:Top100DAM包含53个主题术语,跨越11个聚类术语。“麻醉学”是最常见的集群,“冠状病毒”的影响因子最高。基于聚类术语推断的引文数与观测到的引文数之间存在显著相关(Pearson’s R = 0.06, P = 0.02)。为了可视化,使用网络可视化和桑基图来说明文章的特征。利用自然语言处理技术生成的摘要强调了光纤技术和视频喉镜在解决DAM中的作用。在2019冠状病毒病大流行期间,专家建议为预期的DAM情况提供补充氧气和优先考虑视频喉镜检查。值得注意的是,被引用最多的文章主要集中在临床医生和麻醉师有效管理困难气道的指南和协议驱动的实践的重要性。结论:DAM在麻醉学研究中发挥着核心作用,重点是指南的制定,视频喉镜等技术的进步,以及适应传染病情况的实践。在2019冠状病毒病大流行期间,出版物量的增加和高引用率突显了正在进行的研究和创新如何加速并完善了DAM实践。高引用率的文章大多与指南有关,说明了它们对临床实践的重大影响,以及研究基于这些指南进行讨论的必要性。未来的研究应侧重于解决现有指南的实施挑战,并为不同的临床环境制定具体的方案。
Top 100 Most-Cited Articles on Difficult Airway Management From 2011 to 2022: A Bibliometric Analysis.
Background: Difficult airway management (DAM) presents a complex array of challenges inherent in establishing and maintaining a patient's airway during medical procedures or emergencies. Consequences of compromised DAM are profound, ranging from hypoxia, and aspiration, to cardiac arrest. Despite the ongoing progress and innovation in airway management, DAM remains a significant clinical challenge. Performing a bibliometric analysis of the most cited articles in this domain offers quantitative and qualitative insights into the landscape and trend of key research; our analysis revealed an increasing focus on video laryngoscopy research over the past decade, with a notable surge in studies related to airway management during infectious disease outbreaks in recent years.
Methods: We performed a bibliometric analysis of the 100 most-cited articles on DAM (Top100DAM) published between 2011 and 2022, sourced from both PubMed and Web of Science databases. Employing social network analysis, we identified key associated topics and cluster terms. Cluster terms are broad categories encompassing related topic terms. Topic terms are specific keywords or phrases found in the articles. Citation counts were estimated for each article, and cluster-specific reviews were generated using the Medical Query Expert software.
Results: The Top100DAM comprised 53 topic terms spanning 11 cluster terms. "Anesthesiology" stood out as the most frequently featured cluster, and "betacoronavirus" had the highest Impact Factor. There was a significant correlation between the counts between the inferred citation based on cluster terms and the observed citation (Pearson's R = 0.06, P = 0.02). To visualize, the network visualization and Sankey diagrams were used to illustrate the characteristics of the articles. The generated summary, utilizing natural language processing techniques, underscored the role of fiber-optic technology and video laryngoscopy in addressing DAM. During the COVID-19 pandemic, experts recommended the provision of supplemental oxygen and the prioritization of video laryngoscopy for anticipated DAM scenarios. Notably, the most cited articles predominantly concentrated on the importance of practice driven by guidelines and protocols for clinicians and anesthesiologists to manage difficult airways effectively.
Conclusion: DAM plays a central role in anesthesiology research, with a significant emphasis on guideline development, technological advancements like video laryngoscopy, and adapting practices for infectious disease scenarios. The increased publication volume and high citation rates during the COVID-19 pandemic underscore how ongoing research and innovation have accelerated, refining DAM practices. Articles with high citation rates mostly pertain to guidelines, illustrating their substantial impact on clinical practice and the necessity for studies to base their discussions on these guidelines. Future research should focus on addressing the implementation challenges of existing guidelines and developing context-specific protocols for diverse clinical settings.
期刊介绍:
Asian Journal of Anesthesiology (AJA), launched in 1962, is the official and peer-reviewed publication of the Taiwan Society of Anaesthesiologists. It is published quarterly (March/June/September/December) by Airiti and indexed in EMBASE, Medline, Scopus, ScienceDirect, SIIC Data Bases. AJA accepts submissions from around the world. AJA is the premier open access journal in the field of anaesthesia and its related disciplines of critical care and pain in Asia. The number of Chinese anaesthesiologists has reached more than 60,000 and is still growing. The journal aims to disseminate anaesthesiology research and services for the Chinese community and is now the main anaesthesiology journal for Chinese societies located in Taiwan, Mainland China, Hong Kong and Singapore. AJAcaters to clinicians of all relevant specialties and biomedical scientists working in the areas of anesthesia, critical care medicine and pain management, as well as other related fields (pharmacology, pathology molecular biology, etc). AJA''s editorial team is composed of local and regional experts in the field as well as many leading international experts. Article types accepted include review articles, research papers, short communication, correspondence and images.