A geographical study on amyotrophic lateral sclerosis in Rio Grande Do Norte, Brazil, from 2005 to 2018

Detalhes bibliográficos
Autor(a) principal: Gonçalves, Maria De Jesus
Data de Publicação: 2022
Outros Autores: Oliveira, Roberto Teodoro Gurgel De, Santana, Glauciane Costa, Fregonezi, Guilherme Augusto De Freitas, Vale, Sancha Helena De Lima, Lais, Lucia Leite
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Institucional da UFRN
Texto Completo: https://repositorio.ufrn.br/handle/123456789/52837
https://doi.org/10.1080/21678421.2022.2102429
Resumo: Objective: amyotrophic lateral sclerosis (ALS) is a rare and fatal neurodegenerative disorder with variable incidence and prevalence worldwide. However, clinical-epidemiological studies on ALS are scarce in Brazil. Thus, this study investigated whether ALS incidence had uniform spatial distribution in population-based cluster analysis in Rio Grande do Norte state (Brazil), from 2005 to 2018. Methods: new cases of ALS were identified in a database of the ALS multidisciplinary care center of the Onofre Lopes University Hospital in Natal (Rio Grande do Norte, Brazil). Approaches were based on incidence (empirical Bayes estimator and Moran's I analysis) and cluster analyses (Moran scatter plot and spatial correlogram). Results: a total of 177 patients (59% males) participated in the study; the mean age of ALS onset was 57 years. Mean annual incidence of ALS was 0.3769 per 100,000 inhabitants (95% confidence interval of 0.0889), higher in males than in females (0.4516 per 100,000 vs. 0.3044 per 100,000). According to spatial statistics, patients were homogeneously distributed throughout the studied area. Conclusion: a low estimate was observed compared with other populations. Results did not indicate areas of increased risk or significant spatial geographic dependence, suggesting a random ALS incidence in Rio Grande do Norte.
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spelling Gonçalves, Maria De JesusOliveira, Roberto Teodoro Gurgel DeSantana, Glauciane CostaFregonezi, Guilherme Augusto De FreitasVale, Sancha Helena De LimaLais, Lucia Leitehttps://orcid.org/0000-0003-2580-485X2023-06-21T23:02:26Z2023-06-21T23:02:26Z2022OLIVEIRA, Roberto Teodoro Gurgel de; SANTANA, Glauciane Costa; GONÇALVES, Maria de Jesus; FREGONEZI, Guilherme Augusto de Freitas; VALE, Sancha Helena de Lima; LEITE-LAIS, Lucia; DOURADO, Mário Emílio Teixeira. A geographical study on amyotrophic lateral sclerosis in Rio Grande Do Norte, Brazil, from 2005 to 2018. Amyotrophic Lateral Sclerosis And Frontotemporal Degeneration, [S.L.], v. 24, n. 1-2, p. 117-124, 2 ago. 2022. Informa UK Limited. http://dx.doi.org/10.1080/21678421.2022.2102429. Disponível em: https://www.tandfonline.com/doi/full/10.1080/21678421.2022.2102429. Acesso em: 19 jun. 2023.https://repositorio.ufrn.br/handle/123456789/52837https://doi.org/10.1080/21678421.2022.2102429Taylor and Francis Groupamyotrophic lateral sclerosismotor neuron diseaseepidemiologyincidencespatial analysisA geographical study on amyotrophic lateral sclerosis in Rio Grande Do Norte, Brazil, from 2005 to 2018info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleObjective: amyotrophic lateral sclerosis (ALS) is a rare and fatal neurodegenerative disorder with variable incidence and prevalence worldwide. However, clinical-epidemiological studies on ALS are scarce in Brazil. Thus, this study investigated whether ALS incidence had uniform spatial distribution in population-based cluster analysis in Rio Grande do Norte state (Brazil), from 2005 to 2018. Methods: new cases of ALS were identified in a database of the ALS multidisciplinary care center of the Onofre Lopes University Hospital in Natal (Rio Grande do Norte, Brazil). Approaches were based on incidence (empirical Bayes estimator and Moran's I analysis) and cluster analyses (Moran scatter plot and spatial correlogram). Results: a total of 177 patients (59% males) participated in the study; the mean age of ALS onset was 57 years. Mean annual incidence of ALS was 0.3769 per 100,000 inhabitants (95% confidence interval of 0.0889), higher in males than in females (0.4516 per 100,000 vs. 0.3044 per 100,000). According to spatial statistics, patients were homogeneously distributed throughout the studied area. Conclusion: a low estimate was observed compared with other populations. Results did not indicate areas of increased risk or significant spatial geographic dependence, suggesting a random ALS incidence in Rio Grande do Norte.engreponame:Repositório Institucional da UFRNinstname:Universidade Federal do Rio Grande do Norte (UFRN)instacron:UFRNinfo:eu-repo/semantics/openAccessORIGINALGeographicalStudyAmyotrophic_Gonçalves_2022.pdfGeographicalStudyAmyotrophic_Gonçalves_2022.pdfapplication/pdf1976396https://repositorio.ufrn.br/bitstream/123456789/52837/1/GeographicalStudyAmyotrophic_Gon%c3%a7alves_2022.pdf6acdb7716667c1ab3fd25c017add9fbfMD51LICENSElicense.txtlicense.txttext/plain; charset=utf-81484https://repositorio.ufrn.br/bitstream/123456789/52837/2/license.txte9597aa2854d128fd968be5edc8a28d9MD52123456789/528372023-06-21 20:02:27.032oai:https://repositorio.ufrn.br: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Repositório de PublicaçõesPUBhttp://repositorio.ufrn.br/oai/opendoar:2023-06-21T23:02:27Repositório Institucional da UFRN - Universidade Federal do Rio Grande do Norte (UFRN)false
dc.title.pt_BR.fl_str_mv A geographical study on amyotrophic lateral sclerosis in Rio Grande Do Norte, Brazil, from 2005 to 2018
title A geographical study on amyotrophic lateral sclerosis in Rio Grande Do Norte, Brazil, from 2005 to 2018
spellingShingle A geographical study on amyotrophic lateral sclerosis in Rio Grande Do Norte, Brazil, from 2005 to 2018
Gonçalves, Maria De Jesus
amyotrophic lateral sclerosis
motor neuron disease
epidemiology
incidence
spatial analysis
title_short A geographical study on amyotrophic lateral sclerosis in Rio Grande Do Norte, Brazil, from 2005 to 2018
title_full A geographical study on amyotrophic lateral sclerosis in Rio Grande Do Norte, Brazil, from 2005 to 2018
title_fullStr A geographical study on amyotrophic lateral sclerosis in Rio Grande Do Norte, Brazil, from 2005 to 2018
title_full_unstemmed A geographical study on amyotrophic lateral sclerosis in Rio Grande Do Norte, Brazil, from 2005 to 2018
title_sort A geographical study on amyotrophic lateral sclerosis in Rio Grande Do Norte, Brazil, from 2005 to 2018
author Gonçalves, Maria De Jesus
author_facet Gonçalves, Maria De Jesus
Oliveira, Roberto Teodoro Gurgel De
Santana, Glauciane Costa
Fregonezi, Guilherme Augusto De Freitas
Vale, Sancha Helena De Lima
Lais, Lucia Leite
author_role author
author2 Oliveira, Roberto Teodoro Gurgel De
Santana, Glauciane Costa
Fregonezi, Guilherme Augusto De Freitas
Vale, Sancha Helena De Lima
Lais, Lucia Leite
author2_role author
author
author
author
author
dc.contributor.authorID.pt_BR.fl_str_mv https://orcid.org/0000-0003-2580-485X
dc.contributor.author.fl_str_mv Gonçalves, Maria De Jesus
Oliveira, Roberto Teodoro Gurgel De
Santana, Glauciane Costa
Fregonezi, Guilherme Augusto De Freitas
Vale, Sancha Helena De Lima
Lais, Lucia Leite
dc.subject.por.fl_str_mv amyotrophic lateral sclerosis
motor neuron disease
epidemiology
incidence
spatial analysis
topic amyotrophic lateral sclerosis
motor neuron disease
epidemiology
incidence
spatial analysis
description Objective: amyotrophic lateral sclerosis (ALS) is a rare and fatal neurodegenerative disorder with variable incidence and prevalence worldwide. However, clinical-epidemiological studies on ALS are scarce in Brazil. Thus, this study investigated whether ALS incidence had uniform spatial distribution in population-based cluster analysis in Rio Grande do Norte state (Brazil), from 2005 to 2018. Methods: new cases of ALS were identified in a database of the ALS multidisciplinary care center of the Onofre Lopes University Hospital in Natal (Rio Grande do Norte, Brazil). Approaches were based on incidence (empirical Bayes estimator and Moran's I analysis) and cluster analyses (Moran scatter plot and spatial correlogram). Results: a total of 177 patients (59% males) participated in the study; the mean age of ALS onset was 57 years. Mean annual incidence of ALS was 0.3769 per 100,000 inhabitants (95% confidence interval of 0.0889), higher in males than in females (0.4516 per 100,000 vs. 0.3044 per 100,000). According to spatial statistics, patients were homogeneously distributed throughout the studied area. Conclusion: a low estimate was observed compared with other populations. Results did not indicate areas of increased risk or significant spatial geographic dependence, suggesting a random ALS incidence in Rio Grande do Norte.
publishDate 2022
dc.date.issued.fl_str_mv 2022
dc.date.accessioned.fl_str_mv 2023-06-21T23:02:26Z
dc.date.available.fl_str_mv 2023-06-21T23:02:26Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
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dc.identifier.citation.fl_str_mv OLIVEIRA, Roberto Teodoro Gurgel de; SANTANA, Glauciane Costa; GONÇALVES, Maria de Jesus; FREGONEZI, Guilherme Augusto de Freitas; VALE, Sancha Helena de Lima; LEITE-LAIS, Lucia; DOURADO, Mário Emílio Teixeira. A geographical study on amyotrophic lateral sclerosis in Rio Grande Do Norte, Brazil, from 2005 to 2018. Amyotrophic Lateral Sclerosis And Frontotemporal Degeneration, [S.L.], v. 24, n. 1-2, p. 117-124, 2 ago. 2022. Informa UK Limited. http://dx.doi.org/10.1080/21678421.2022.2102429. Disponível em: https://www.tandfonline.com/doi/full/10.1080/21678421.2022.2102429. Acesso em: 19 jun. 2023.
dc.identifier.uri.fl_str_mv https://repositorio.ufrn.br/handle/123456789/52837
dc.identifier.doi.none.fl_str_mv https://doi.org/10.1080/21678421.2022.2102429
identifier_str_mv OLIVEIRA, Roberto Teodoro Gurgel de; SANTANA, Glauciane Costa; GONÇALVES, Maria de Jesus; FREGONEZI, Guilherme Augusto de Freitas; VALE, Sancha Helena de Lima; LEITE-LAIS, Lucia; DOURADO, Mário Emílio Teixeira. A geographical study on amyotrophic lateral sclerosis in Rio Grande Do Norte, Brazil, from 2005 to 2018. Amyotrophic Lateral Sclerosis And Frontotemporal Degeneration, [S.L.], v. 24, n. 1-2, p. 117-124, 2 ago. 2022. Informa UK Limited. http://dx.doi.org/10.1080/21678421.2022.2102429. Disponível em: https://www.tandfonline.com/doi/full/10.1080/21678421.2022.2102429. Acesso em: 19 jun. 2023.
url https://repositorio.ufrn.br/handle/123456789/52837
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