ReviewJournal of the Chinese Medical Association : JCMA2023
Bibliometric analysis of the top 100 most-cited articles on video laryngoscope from 2011 to 2022.
Review in Journal of the Chinese Medical Association : JCMA, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
0 citing papers in PubMed, 3 citations in OpenAlex.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundThe 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.
methodsWe 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.
resultsThe 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.
conclusionBy 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.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.