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A Scientometric Analysis and Visualization Discovery of Enhanced Recovery After Surgery

BACKGROUND: Enhanced recovery after surgery (ERAS), a new clinical surgical concept, has been applied in many surgical disciplines with good clinical results for the past 20 years. Bibliometric analysis is an effective method to quantitatively evaluate the academic productivity. This report aimed to...

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Detalles Bibliográficos
Autores principales: Zhang, Mingjie, Wang, Xiaoxue, Chen, Xueting, Song, Zixuan, Wang, Yuting, Zhou, Yangzi, Zhang, Dandan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9450939/
https://www.ncbi.nlm.nih.gov/pubmed/36090333
http://dx.doi.org/10.3389/fsurg.2022.894083
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author Zhang, Mingjie
Wang, Xiaoxue
Chen, Xueting
Song, Zixuan
Wang, Yuting
Zhou, Yangzi
Zhang, Dandan
author_facet Zhang, Mingjie
Wang, Xiaoxue
Chen, Xueting
Song, Zixuan
Wang, Yuting
Zhou, Yangzi
Zhang, Dandan
author_sort Zhang, Mingjie
collection PubMed
description BACKGROUND: Enhanced recovery after surgery (ERAS), a new clinical surgical concept, has been applied in many surgical disciplines with good clinical results for the past 20 years. Bibliometric analysis is an effective method to quantitatively evaluate the academic productivity. This report aimed to perform a scientometric analysis of the ERAS research status and research hotspots. METHODS: Comprehensive scientific mapping analysis of a wide range of literature metadata using the scientometric tools, including the Bibliometrix R Package, Biblioshiny, and CiteSpace. Data were retrieved from the Web of Science Core Collection database of original articles from 2001 to 2020. Specific indicators and maps were analyzed to show the co-authorship, co-institute, co-country, co-citation, and international cooperation. Automatic literature screening, unsupervised cluster filtering, and topic cluster identification methods were used to display the conceptual framework and thematic evolution. RESULTS: A total of 1,403 research projects drafted by 6,966 authors and published in 413 sources were found. There was an exponential growth in the number of publications on ERAS. There were 709 collaborations between authors from different countries, and the US, China, and the UK had the greatest number of publications. The WORLD JOURNAL OF SURGERY, located in Bradford’s Law 1, had the highest number of published articles (n = 1,276; total citations = 3,193). CiteSpace network analysis revealed 15 highly correlated cluster ERAS studies, and the earliest study was on colonic surgery, and ERAS was recently applied in cardiac surgery. The etiology of ERAS is constantly evolving, with surgery and length of hospital as the main topics. Meta-analyses and perioperative care have tended to decline. CONCLUSION: This is the first scientometric analysis of ERAS to provide descriptive quantitative indicators. This can provide a better understanding of how the field has evolved over the past 20 years, help identify research trends, and provide insights and research directions for academic researchers, policymakers, and medical practitioners who want to collaborate in these areas in the future.
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spelling pubmed-94509392022-09-08 A Scientometric Analysis and Visualization Discovery of Enhanced Recovery After Surgery Zhang, Mingjie Wang, Xiaoxue Chen, Xueting Song, Zixuan Wang, Yuting Zhou, Yangzi Zhang, Dandan Front Surg Surgery BACKGROUND: Enhanced recovery after surgery (ERAS), a new clinical surgical concept, has been applied in many surgical disciplines with good clinical results for the past 20 years. Bibliometric analysis is an effective method to quantitatively evaluate the academic productivity. This report aimed to perform a scientometric analysis of the ERAS research status and research hotspots. METHODS: Comprehensive scientific mapping analysis of a wide range of literature metadata using the scientometric tools, including the Bibliometrix R Package, Biblioshiny, and CiteSpace. Data were retrieved from the Web of Science Core Collection database of original articles from 2001 to 2020. Specific indicators and maps were analyzed to show the co-authorship, co-institute, co-country, co-citation, and international cooperation. Automatic literature screening, unsupervised cluster filtering, and topic cluster identification methods were used to display the conceptual framework and thematic evolution. RESULTS: A total of 1,403 research projects drafted by 6,966 authors and published in 413 sources were found. There was an exponential growth in the number of publications on ERAS. There were 709 collaborations between authors from different countries, and the US, China, and the UK had the greatest number of publications. The WORLD JOURNAL OF SURGERY, located in Bradford’s Law 1, had the highest number of published articles (n = 1,276; total citations = 3,193). CiteSpace network analysis revealed 15 highly correlated cluster ERAS studies, and the earliest study was on colonic surgery, and ERAS was recently applied in cardiac surgery. The etiology of ERAS is constantly evolving, with surgery and length of hospital as the main topics. Meta-analyses and perioperative care have tended to decline. CONCLUSION: This is the first scientometric analysis of ERAS to provide descriptive quantitative indicators. This can provide a better understanding of how the field has evolved over the past 20 years, help identify research trends, and provide insights and research directions for academic researchers, policymakers, and medical practitioners who want to collaborate in these areas in the future. Frontiers Media S.A. 2022-06-08 /pmc/articles/PMC9450939/ /pubmed/36090333 http://dx.doi.org/10.3389/fsurg.2022.894083 Text en Copyright © 2022 Zhang, Wang, Chen, Song, Wang, Zhou and Zhang. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY) (https://creativecommons.org/licenses/by/4.0/) . The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Surgery
Zhang, Mingjie
Wang, Xiaoxue
Chen, Xueting
Song, Zixuan
Wang, Yuting
Zhou, Yangzi
Zhang, Dandan
A Scientometric Analysis and Visualization Discovery of Enhanced Recovery After Surgery
title A Scientometric Analysis and Visualization Discovery of Enhanced Recovery After Surgery
title_full A Scientometric Analysis and Visualization Discovery of Enhanced Recovery After Surgery
title_fullStr A Scientometric Analysis and Visualization Discovery of Enhanced Recovery After Surgery
title_full_unstemmed A Scientometric Analysis and Visualization Discovery of Enhanced Recovery After Surgery
title_short A Scientometric Analysis and Visualization Discovery of Enhanced Recovery After Surgery
title_sort scientometric analysis and visualization discovery of enhanced recovery after surgery
topic Surgery
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9450939/
https://www.ncbi.nlm.nih.gov/pubmed/36090333
http://dx.doi.org/10.3389/fsurg.2022.894083
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