CEREBROSPINAL FLUID EVALUATION AS A DIAGNOSIS AND PROGNOSIS TOOL: A BIBLIOMETRIC ANALYSIS OF THE 100 MOST CITED ARTICLES

Detalhes bibliográficos
Autor(a) principal: Figueiredo Filho, Luiz Carlos
Data de Publicação: 2023
Outros Autores: Aranha, Maria Fernanda de Almeida Cavalcante, Cabeça, Rafael Augusto Silva, Massoud, Ricardo Ormanes, Cohen, Sarah Brazão, Fernandes, Luanna de Melo Pereira, de Oliveira, Rita de Cássia Silva, Cohen, Patrícia Brazão
Tipo de documento: Artigo
Idioma: por
Título da fonte: Arquivos de Ciências da Saúde da UNIPAR (Online)
Texto Completo: https://revistas.unipar.br/index.php/saude/article/view/10690
Resumo: Introduction: Cerebrospinal fluid (CSF) analysis is critical in the diagnosis, prognosis, and treatment of a wide range of diseases, including multiple sclerosis, encephalitis, meningitis, brain tumors, Creutzfeldt-Jakob disease, Alzheimer's disease, and other neurodegenerative conditions. Objective: Bibliometric analysis of the 100 most cited articles to obtain deeper insights into the status of research in this sector, in order to provide support for evidence-based medicine (EBM). Methodology: The main collection of the Web of Science was used to collect relevant studies on the topic, and the VOSviewer software was employed to build bibliometric networks. The examination did not include materials from editorials, books, patents, or research with unspecified designs. The articles chosen are in the time range from 1991 to 2020. Results: It was noted that most of the articles were human observational studies focusing on the diagnosis of neurodegenerative diseases, specifically Alzheimer's, which were published in neurology and/or Alzheimer's-related journals, mainly in the United States of America. We discovered forward-looking research hotspots and trends in this domain, which can serve as an important guide to neurological research, generating subsidies for medical decision-making. Conclusion: The number of primary articles on the subject points to the need for further future research on CSF associated, mainly, with other neurodegenerative diseases, in addition to Alzheimer's, sustaining the diagnostic efficacy and EBM.
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spelling CEREBROSPINAL FLUID EVALUATION AS A DIAGNOSIS AND PROGNOSIS TOOL: A BIBLIOMETRIC ANALYSIS OF THE 100 MOST CITED ARTICLESCerebrospinal FluidCentral Nervous SystemDiagnosisPrognosisNeurodegenerative DiseasesIntroduction: Cerebrospinal fluid (CSF) analysis is critical in the diagnosis, prognosis, and treatment of a wide range of diseases, including multiple sclerosis, encephalitis, meningitis, brain tumors, Creutzfeldt-Jakob disease, Alzheimer's disease, and other neurodegenerative conditions. Objective: Bibliometric analysis of the 100 most cited articles to obtain deeper insights into the status of research in this sector, in order to provide support for evidence-based medicine (EBM). Methodology: The main collection of the Web of Science was used to collect relevant studies on the topic, and the VOSviewer software was employed to build bibliometric networks. The examination did not include materials from editorials, books, patents, or research with unspecified designs. The articles chosen are in the time range from 1991 to 2020. Results: It was noted that most of the articles were human observational studies focusing on the diagnosis of neurodegenerative diseases, specifically Alzheimer's, which were published in neurology and/or Alzheimer's-related journals, mainly in the United States of America. We discovered forward-looking research hotspots and trends in this domain, which can serve as an important guide to neurological research, generating subsidies for medical decision-making. Conclusion: The number of primary articles on the subject points to the need for further future research on CSF associated, mainly, with other neurodegenerative diseases, in addition to Alzheimer's, sustaining the diagnostic efficacy and EBM.UNIPAR2023-10-23info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://revistas.unipar.br/index.php/saude/article/view/1069010.25110/arqsaude.v27i10.2023-012Arquivos de Ciências da Saúde da UNIPAR; v. 27 n. 10 (2023); 5624-56591982-114Xreponame:Arquivos de Ciências da Saúde da UNIPAR (Online)instname:Universidade Paranaense (UNIPAR)instacron:UNIPARporhttps://revistas.unipar.br/index.php/saude/article/view/10690/5167Copyright (c) 2023 Arquivos de Ciências da Saúde da UNIPARhttps://creativecommons.org/licenses/by/4.0info:eu-repo/semantics/openAccessFigueiredo Filho, Luiz CarlosAranha, Maria Fernanda de Almeida CavalcanteCabeça, Rafael Augusto SilvaMassoud, Ricardo OrmanesCohen, Sarah BrazãoFernandes, Luanna de Melo Pereirade Oliveira, Rita de Cássia SilvaCohen, Patrícia Brazão2023-10-23T14:16:47Zoai:ojs2.revistas.unipar.br:article/10690Revistahttp://revistas.unipar.br/index.php/saudehttp://revistas.unipar.br/saude/oai||cedic@unipar.br|| arqsaude@unipar.br1982-114X1415-076Xopendoar:2023-10-23T14:16:47Arquivos de Ciências da Saúde da UNIPAR (Online) - Universidade Paranaense (UNIPAR)false
dc.title.none.fl_str_mv CEREBROSPINAL FLUID EVALUATION AS A DIAGNOSIS AND PROGNOSIS TOOL: A BIBLIOMETRIC ANALYSIS OF THE 100 MOST CITED ARTICLES
title CEREBROSPINAL FLUID EVALUATION AS A DIAGNOSIS AND PROGNOSIS TOOL: A BIBLIOMETRIC ANALYSIS OF THE 100 MOST CITED ARTICLES
spellingShingle CEREBROSPINAL FLUID EVALUATION AS A DIAGNOSIS AND PROGNOSIS TOOL: A BIBLIOMETRIC ANALYSIS OF THE 100 MOST CITED ARTICLES
Figueiredo Filho, Luiz Carlos
Cerebrospinal Fluid
Central Nervous System
Diagnosis
Prognosis
Neurodegenerative Diseases
title_short CEREBROSPINAL FLUID EVALUATION AS A DIAGNOSIS AND PROGNOSIS TOOL: A BIBLIOMETRIC ANALYSIS OF THE 100 MOST CITED ARTICLES
title_full CEREBROSPINAL FLUID EVALUATION AS A DIAGNOSIS AND PROGNOSIS TOOL: A BIBLIOMETRIC ANALYSIS OF THE 100 MOST CITED ARTICLES
title_fullStr CEREBROSPINAL FLUID EVALUATION AS A DIAGNOSIS AND PROGNOSIS TOOL: A BIBLIOMETRIC ANALYSIS OF THE 100 MOST CITED ARTICLES
title_full_unstemmed CEREBROSPINAL FLUID EVALUATION AS A DIAGNOSIS AND PROGNOSIS TOOL: A BIBLIOMETRIC ANALYSIS OF THE 100 MOST CITED ARTICLES
title_sort CEREBROSPINAL FLUID EVALUATION AS A DIAGNOSIS AND PROGNOSIS TOOL: A BIBLIOMETRIC ANALYSIS OF THE 100 MOST CITED ARTICLES
author Figueiredo Filho, Luiz Carlos
author_facet Figueiredo Filho, Luiz Carlos
Aranha, Maria Fernanda de Almeida Cavalcante
Cabeça, Rafael Augusto Silva
Massoud, Ricardo Ormanes
Cohen, Sarah Brazão
Fernandes, Luanna de Melo Pereira
de Oliveira, Rita de Cássia Silva
Cohen, Patrícia Brazão
author_role author
author2 Aranha, Maria Fernanda de Almeida Cavalcante
Cabeça, Rafael Augusto Silva
Massoud, Ricardo Ormanes
Cohen, Sarah Brazão
Fernandes, Luanna de Melo Pereira
de Oliveira, Rita de Cássia Silva
Cohen, Patrícia Brazão
author2_role author
author
author
author
author
author
author
dc.contributor.author.fl_str_mv Figueiredo Filho, Luiz Carlos
Aranha, Maria Fernanda de Almeida Cavalcante
Cabeça, Rafael Augusto Silva
Massoud, Ricardo Ormanes
Cohen, Sarah Brazão
Fernandes, Luanna de Melo Pereira
de Oliveira, Rita de Cássia Silva
Cohen, Patrícia Brazão
dc.subject.por.fl_str_mv Cerebrospinal Fluid
Central Nervous System
Diagnosis
Prognosis
Neurodegenerative Diseases
topic Cerebrospinal Fluid
Central Nervous System
Diagnosis
Prognosis
Neurodegenerative Diseases
description Introduction: Cerebrospinal fluid (CSF) analysis is critical in the diagnosis, prognosis, and treatment of a wide range of diseases, including multiple sclerosis, encephalitis, meningitis, brain tumors, Creutzfeldt-Jakob disease, Alzheimer's disease, and other neurodegenerative conditions. Objective: Bibliometric analysis of the 100 most cited articles to obtain deeper insights into the status of research in this sector, in order to provide support for evidence-based medicine (EBM). Methodology: The main collection of the Web of Science was used to collect relevant studies on the topic, and the VOSviewer software was employed to build bibliometric networks. The examination did not include materials from editorials, books, patents, or research with unspecified designs. The articles chosen are in the time range from 1991 to 2020. Results: It was noted that most of the articles were human observational studies focusing on the diagnosis of neurodegenerative diseases, specifically Alzheimer's, which were published in neurology and/or Alzheimer's-related journals, mainly in the United States of America. We discovered forward-looking research hotspots and trends in this domain, which can serve as an important guide to neurological research, generating subsidies for medical decision-making. Conclusion: The number of primary articles on the subject points to the need for further future research on CSF associated, mainly, with other neurodegenerative diseases, in addition to Alzheimer's, sustaining the diagnostic efficacy and EBM.
publishDate 2023
dc.date.none.fl_str_mv 2023-10-23
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
format article
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dc.identifier.uri.fl_str_mv https://revistas.unipar.br/index.php/saude/article/view/10690
10.25110/arqsaude.v27i10.2023-012
url https://revistas.unipar.br/index.php/saude/article/view/10690
identifier_str_mv 10.25110/arqsaude.v27i10.2023-012
dc.language.iso.fl_str_mv por
language por
dc.relation.none.fl_str_mv https://revistas.unipar.br/index.php/saude/article/view/10690/5167
dc.rights.driver.fl_str_mv Copyright (c) 2023 Arquivos de Ciências da Saúde da UNIPAR
https://creativecommons.org/licenses/by/4.0
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Copyright (c) 2023 Arquivos de Ciências da Saúde da UNIPAR
https://creativecommons.org/licenses/by/4.0
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv UNIPAR
publisher.none.fl_str_mv UNIPAR
dc.source.none.fl_str_mv Arquivos de Ciências da Saúde da UNIPAR; v. 27 n. 10 (2023); 5624-5659
1982-114X
reponame:Arquivos de Ciências da Saúde da UNIPAR (Online)
instname:Universidade Paranaense (UNIPAR)
instacron:UNIPAR
instname_str Universidade Paranaense (UNIPAR)
instacron_str UNIPAR
institution UNIPAR
reponame_str Arquivos de Ciências da Saúde da UNIPAR (Online)
collection Arquivos de Ciências da Saúde da UNIPAR (Online)
repository.name.fl_str_mv Arquivos de Ciências da Saúde da UNIPAR (Online) - Universidade Paranaense (UNIPAR)
repository.mail.fl_str_mv ||cedic@unipar.br|| arqsaude@unipar.br
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