Bibliometric analysis of the top 100 most-cited articles on video laryngoscope from 2011 to 2022

Author:

Shiao Chih-Chung1,Wu Jui-Teng2,Chu Ya-Chun3,Tang Yu-Hsuan4,Huang Lawrence5,Lai Hsien-Yung6

Affiliation:

1. Division of Nephrology, Department of Internal Medicine, Camillian Saint Mary’s Hospital Luodong, Yilan, Taiwan, ROC

2. Department of Surgery, Camillian Saint Mary’s Hospital Luodong, Yilan, Taiwan, ROC

3. Department of Anesthesiology, Taipei Veterans General Hospital, and National Yang Ming Chiao Tung University, Taipei, Taiwan, ROC

4. School of Life Science, National Yang Ming Chiao Tung University, Taipei, Taiwan, ROC

5. Taipei American School, Taipei, Taiwan, ROC

6. Department of Anesthesiology, Mennonite Christian Hospital, Hualien, Taiwan, ROC

Abstract

Background: The popularity of video laryngoscope (VL) has increased rapidly since its introduction in the late 1990s. However, a comprehensive overview of VLs evolution and impact is lacking, which merits further investigation. Methods: We conducted a bibliometric analysis of the top 100 most-cited articles on VL (Top100VL) published between 2011 and 2022 and retrieved from the PubMed and Web of Science databases. Using social network analysis, we identified the subject terms and subject categories of the Top100VL and compared their citation counts across individual subject terms and categories via one-way analysis of variance (ANOVA). Then, we employed the Medical Query Expert software to assess the practical applications of VL. Results: The Top100VL included 65 subjects across nine subject categories, with “anesthesiology” being the most frequently represented category and “coronavirus infections” with the highest impact factor. The citation counts inferred by subject categories significantly correlated with the actual citation counts (Pearson’s R = 0.4; p < 0.01). For enhanced visualization, we employed network visualization and Sankey diagrams to display the article characteristics. We highlighted the clinical advantages of VL, including its usefulness in difficult intubations, wider angle of view, and management of pediatric emergencies, as well as its teaching benefits, such as facilitating training programs and a lower learning curve. Conclusion: By using bibliometric analysis and natural language processing methods, we effectively summarized the applications of VL in both clinical and teaching settings, particularly in reducing the risk of cross-infection during the Coronavirus Disease 2019 pandemic.

Publisher

Ovid Technologies (Wolters Kluwer Health)

Subject

General Medicine

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