CEREBROSPINAL FLUID EVALUATION AS A DIAGNOSIS AND PROGNOSIS TOOL: A BIBLIOMETRIC ANALYSIS OF THE 100 MOST CITED ARTICLES
Autor(a) principal: | |
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Data de Publicação: | 2023 |
Outros Autores: | , , , , , , |
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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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 |
status_str |
publishedVersion |
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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1800218858001268736 |