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Hotspot Analysis of Sepsis Literature

BACKGROUND: Sepsis is a common life-threatening pathological process. However, the transformation efficiency of studies on the treatment of sepsis is relatively low. Therefore, a hotspot and trend development study was attempted on the treatment area of sepsis in accordance with the literature. MATE...

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Autores principales: Xu, Changhai, Wang, Zhe, Lu, Kaining, Jin, Hongxu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: International Scientific Literature, Inc. 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6091165/
https://www.ncbi.nlm.nih.gov/pubmed/30078031
http://dx.doi.org/10.12659/MSM.908950
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author Xu, Changhai
Wang, Zhe
Lu, Kaining
Jin, Hongxu
author_facet Xu, Changhai
Wang, Zhe
Lu, Kaining
Jin, Hongxu
author_sort Xu, Changhai
collection PubMed
description BACKGROUND: Sepsis is a common life-threatening pathological process. However, the transformation efficiency of studies on the treatment of sepsis is relatively low. Therefore, a hotspot and trend development study was attempted on the treatment area of sepsis in accordance with the literature. MATERIAL/METHODS: We selected 2511 studies most related to the treatment of sepsis within the past 5 years as research samples. Text and co-word matrix were established by analyzing and selecting high-frequency words using BICOMB software. Classifications in hotspot areas were obtained through biclustering and visual analysis of high-frequency words using Ggluto software. Strategy coordinates for hotspot research were conducted using a co-word matrix. RESULTS: A total of 41 high-frequency words, text, and co-word matrix were conducted within the 2511 studies. A peak map was drawn based on biclustering analysis. The density and concentricity of each hotspot were calculated using the result of the co-word matrix and biclustering analysis. CONCLUSIONS: The research concluded 4 categories and 9 aspects for the treatment of sepsis. Additionally, calculation results showed that the relationship between the prognosis of sepsis and the hematological prognosis was in the fourth quadrant of the strategic diagram, that means it was the potential hotspot area for the treatment of sepsis. This conclusion provides potential value for future exploratory stages of study.
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spelling pubmed-60911652018-08-16 Hotspot Analysis of Sepsis Literature Xu, Changhai Wang, Zhe Lu, Kaining Jin, Hongxu Med Sci Monit Special Reports BACKGROUND: Sepsis is a common life-threatening pathological process. However, the transformation efficiency of studies on the treatment of sepsis is relatively low. Therefore, a hotspot and trend development study was attempted on the treatment area of sepsis in accordance with the literature. MATERIAL/METHODS: We selected 2511 studies most related to the treatment of sepsis within the past 5 years as research samples. Text and co-word matrix were established by analyzing and selecting high-frequency words using BICOMB software. Classifications in hotspot areas were obtained through biclustering and visual analysis of high-frequency words using Ggluto software. Strategy coordinates for hotspot research were conducted using a co-word matrix. RESULTS: A total of 41 high-frequency words, text, and co-word matrix were conducted within the 2511 studies. A peak map was drawn based on biclustering analysis. The density and concentricity of each hotspot were calculated using the result of the co-word matrix and biclustering analysis. CONCLUSIONS: The research concluded 4 categories and 9 aspects for the treatment of sepsis. Additionally, calculation results showed that the relationship between the prognosis of sepsis and the hematological prognosis was in the fourth quadrant of the strategic diagram, that means it was the potential hotspot area for the treatment of sepsis. This conclusion provides potential value for future exploratory stages of study. International Scientific Literature, Inc. 2018-08-05 /pmc/articles/PMC6091165/ /pubmed/30078031 http://dx.doi.org/10.12659/MSM.908950 Text en © Med Sci Monit, 2018 This work is licensed under Creative Common Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0 (https://creativecommons.org/licenses/by-nc-nd/4.0/) )
spellingShingle Special Reports
Xu, Changhai
Wang, Zhe
Lu, Kaining
Jin, Hongxu
Hotspot Analysis of Sepsis Literature
title Hotspot Analysis of Sepsis Literature
title_full Hotspot Analysis of Sepsis Literature
title_fullStr Hotspot Analysis of Sepsis Literature
title_full_unstemmed Hotspot Analysis of Sepsis Literature
title_short Hotspot Analysis of Sepsis Literature
title_sort hotspot analysis of sepsis literature
topic Special Reports
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6091165/
https://www.ncbi.nlm.nih.gov/pubmed/30078031
http://dx.doi.org/10.12659/MSM.908950
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