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Potential Markers of Neurocognitive Disorders After Cardiac Surgery: A Bibliometric and Visual Analysis

BACKGROUND: Identifying useful markers is essential for diagnosis and prevention of perioperative neurocognitive disorders (PNDs). Here, we attempt to understand the research basis and status, potential hotspots and trends of predictive markers associated with PNDs after cardiac surgery via bibliome...

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Detalles Bibliográficos
Autores principales: Ji, Linna, Li, Fang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9199578/
https://www.ncbi.nlm.nih.gov/pubmed/35721025
http://dx.doi.org/10.3389/fnagi.2022.868158
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author Ji, Linna
Li, Fang
author_facet Ji, Linna
Li, Fang
author_sort Ji, Linna
collection PubMed
description BACKGROUND: Identifying useful markers is essential for diagnosis and prevention of perioperative neurocognitive disorders (PNDs). Here, we attempt to understand the research basis and status, potential hotspots and trends of predictive markers associated with PNDs after cardiac surgery via bibliometric analysis. METHODS: A total of 4,609 original research articles and reviews that cited 290 articles between 2001 and 2021 were obtained from the Web of Science Core Collection (WoSCC) as the data source. We used the software CiteSpace to generate and analyze visual networks of bibliographic information, including published years and journals, collaborating institutions, co-cited references, and co-occurring keywords. RESULTS: The number of annual and cumulative publications from 2001 to 2021 has been increasing on the whole. The Harvard Medical School was a very prolific and important institution in this field. The journal of Ann Thorac Surg (IF 4.33) had the most publications, while New Engl J Med was the most cited journal. Neuron-specific enolase (NSE), S100b and kynurenic acid (KYNA) were frequently discussed as possible markers of PNDs in many references. Cardiopulmonary bypass (CPB) was a keyword with high frequency (430) and sigma (6.26), and inflammation was the most recent burst keyword. CONCLUSION: Potential markers of PNDs has received growing attention across various disciplines for many years. The research basis mainly focuses on three classic biomarkers of S100b, NSE, and KYNA. The most active frontiers are the inflammation-related biomarkers (e.g., inflammatory cells, cytokines, or mediators) and surgery-related monitoring parameters (e.g., perfusion, oxygen saturation, and the depth of anesthesia).
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spelling pubmed-91995782022-06-16 Potential Markers of Neurocognitive Disorders After Cardiac Surgery: A Bibliometric and Visual Analysis Ji, Linna Li, Fang Front Aging Neurosci Aging Neuroscience BACKGROUND: Identifying useful markers is essential for diagnosis and prevention of perioperative neurocognitive disorders (PNDs). Here, we attempt to understand the research basis and status, potential hotspots and trends of predictive markers associated with PNDs after cardiac surgery via bibliometric analysis. METHODS: A total of 4,609 original research articles and reviews that cited 290 articles between 2001 and 2021 were obtained from the Web of Science Core Collection (WoSCC) as the data source. We used the software CiteSpace to generate and analyze visual networks of bibliographic information, including published years and journals, collaborating institutions, co-cited references, and co-occurring keywords. RESULTS: The number of annual and cumulative publications from 2001 to 2021 has been increasing on the whole. The Harvard Medical School was a very prolific and important institution in this field. The journal of Ann Thorac Surg (IF 4.33) had the most publications, while New Engl J Med was the most cited journal. Neuron-specific enolase (NSE), S100b and kynurenic acid (KYNA) were frequently discussed as possible markers of PNDs in many references. Cardiopulmonary bypass (CPB) was a keyword with high frequency (430) and sigma (6.26), and inflammation was the most recent burst keyword. CONCLUSION: Potential markers of PNDs has received growing attention across various disciplines for many years. The research basis mainly focuses on three classic biomarkers of S100b, NSE, and KYNA. The most active frontiers are the inflammation-related biomarkers (e.g., inflammatory cells, cytokines, or mediators) and surgery-related monitoring parameters (e.g., perfusion, oxygen saturation, and the depth of anesthesia). Frontiers Media S.A. 2022-06-01 /pmc/articles/PMC9199578/ /pubmed/35721025 http://dx.doi.org/10.3389/fnagi.2022.868158 Text en Copyright © 2022 Ji and Li. 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). 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 Aging Neuroscience
Ji, Linna
Li, Fang
Potential Markers of Neurocognitive Disorders After Cardiac Surgery: A Bibliometric and Visual Analysis
title Potential Markers of Neurocognitive Disorders After Cardiac Surgery: A Bibliometric and Visual Analysis
title_full Potential Markers of Neurocognitive Disorders After Cardiac Surgery: A Bibliometric and Visual Analysis
title_fullStr Potential Markers of Neurocognitive Disorders After Cardiac Surgery: A Bibliometric and Visual Analysis
title_full_unstemmed Potential Markers of Neurocognitive Disorders After Cardiac Surgery: A Bibliometric and Visual Analysis
title_short Potential Markers of Neurocognitive Disorders After Cardiac Surgery: A Bibliometric and Visual Analysis
title_sort potential markers of neurocognitive disorders after cardiac surgery: a bibliometric and visual analysis
topic Aging Neuroscience
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9199578/
https://www.ncbi.nlm.nih.gov/pubmed/35721025
http://dx.doi.org/10.3389/fnagi.2022.868158
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