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Global research trends in prediction of difficult airways: A bibliometric and visualization study

Many tools are used to predict difficult airway, including bedside screening tests, radiological variables, and ultrasonography. However, the “gold standard” to identify difficult airway before intubation has not been established. The assessment and prediction of difficult airway is receiving increa...

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Detalles Bibliográficos
Autores principales: Li, Xiaoyan, Lian, Yixiao, Pan, Fang, Zhao, Hong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Lippincott Williams & Wilkins 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10174351/
https://www.ncbi.nlm.nih.gov/pubmed/37171310
http://dx.doi.org/10.1097/MD.0000000000033776
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author Li, Xiaoyan
Lian, Yixiao
Pan, Fang
Zhao, Hong
author_facet Li, Xiaoyan
Lian, Yixiao
Pan, Fang
Zhao, Hong
author_sort Li, Xiaoyan
collection PubMed
description Many tools are used to predict difficult airway, including bedside screening tests, radiological variables, and ultrasonography. However, the “gold standard” to identify difficult airway before intubation has not been established. The assessment and prediction of difficult airway is receiving increasing attention in clinical practice due to the devastating results of failed oxygenation or intubation. A literature visualization study is necessary to understand the research trend and help tailor future research directions. Science citation index-expanded web of Science database were used to search for literature related to assessment and prediction of difficult airways published before May 9th, 2022. VOS viewer software was used for visual analysis, including literature statistics, and co-occurrence analysis. A total of 2609 articles were included. The amount of relevant research interest and literature is increasing every year. According to co-occurrence network analysis, the research results can be grouped into the following 5 clusters, intubation approaches, intubation in special populations, difficult airway assessment tests, intubation in critical care/emergency settings and education, and laryngoscopes. Co-occurrence overlay analysis showed that video laryngoscopes and index prediction (including computed tomography and ultrasonography), emerged recently and comprised an important percentage of current studies. It can be predicted that future studies should focus on understanding the upper airway anatomy and constructing risk index predictions. Based on current global research trends, risk index predictions are the next hot topics in the evaluation and prediction of difficult airways, and video laryngoscopes will continue to be a hot topic in this field.
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spelling pubmed-101743512023-05-12 Global research trends in prediction of difficult airways: A bibliometric and visualization study Li, Xiaoyan Lian, Yixiao Pan, Fang Zhao, Hong Medicine (Baltimore) 3300 Many tools are used to predict difficult airway, including bedside screening tests, radiological variables, and ultrasonography. However, the “gold standard” to identify difficult airway before intubation has not been established. The assessment and prediction of difficult airway is receiving increasing attention in clinical practice due to the devastating results of failed oxygenation or intubation. A literature visualization study is necessary to understand the research trend and help tailor future research directions. Science citation index-expanded web of Science database were used to search for literature related to assessment and prediction of difficult airways published before May 9th, 2022. VOS viewer software was used for visual analysis, including literature statistics, and co-occurrence analysis. A total of 2609 articles were included. The amount of relevant research interest and literature is increasing every year. According to co-occurrence network analysis, the research results can be grouped into the following 5 clusters, intubation approaches, intubation in special populations, difficult airway assessment tests, intubation in critical care/emergency settings and education, and laryngoscopes. Co-occurrence overlay analysis showed that video laryngoscopes and index prediction (including computed tomography and ultrasonography), emerged recently and comprised an important percentage of current studies. It can be predicted that future studies should focus on understanding the upper airway anatomy and constructing risk index predictions. Based on current global research trends, risk index predictions are the next hot topics in the evaluation and prediction of difficult airways, and video laryngoscopes will continue to be a hot topic in this field. Lippincott Williams & Wilkins 2023-05-12 /pmc/articles/PMC10174351/ /pubmed/37171310 http://dx.doi.org/10.1097/MD.0000000000033776 Text en Copyright © 2023 the Author(s). Published by Wolters Kluwer Health, Inc. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the Creative Commons Attribution License 4.0 (CCBY) (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle 3300
Li, Xiaoyan
Lian, Yixiao
Pan, Fang
Zhao, Hong
Global research trends in prediction of difficult airways: A bibliometric and visualization study
title Global research trends in prediction of difficult airways: A bibliometric and visualization study
title_full Global research trends in prediction of difficult airways: A bibliometric and visualization study
title_fullStr Global research trends in prediction of difficult airways: A bibliometric and visualization study
title_full_unstemmed Global research trends in prediction of difficult airways: A bibliometric and visualization study
title_short Global research trends in prediction of difficult airways: A bibliometric and visualization study
title_sort global research trends in prediction of difficult airways: a bibliometric and visualization study
topic 3300
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10174351/
https://www.ncbi.nlm.nih.gov/pubmed/37171310
http://dx.doi.org/10.1097/MD.0000000000033776
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