A geographical study on amyotrophic lateral sclerosis in Rio Grande Do Norte, Brazil, from 2005 to 2018
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...
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ri-123456789-528372023-06-21T23:02:27Z A geographical study on amyotrophic lateral sclerosis in Rio Grande Do Norte, Brazil, from 2005 to 2018 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 https://orcid.org/0000-0003-2580-485X amyotrophic lateral sclerosis motor neuron disease epidemiology incidence spatial analysis 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. 2023-06-21T23:02:26Z 2023-06-21T23:02:26Z 2022 article 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. https://repositorio.ufrn.br/handle/123456789/52837 https://doi.org/10.1080/21678421.2022.2102429 en application/pdf Taylor and Francis Group |
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amyotrophic lateral sclerosis motor neuron disease epidemiology incidence spatial analysis |
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amyotrophic lateral sclerosis motor neuron disease epidemiology incidence spatial analysis 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 A geographical study on amyotrophic lateral sclerosis in Rio Grande Do Norte, Brazil, from 2005 to 2018 |
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. |
author2 |
https://orcid.org/0000-0003-2580-485X |
author_facet |
https://orcid.org/0000-0003-2580-485X 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 |
format |
article |
author |
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_sort |
Gonçalves, Maria De Jesus |
title |
A geographical study on amyotrophic lateral sclerosis in Rio Grande Do Norte, Brazil, from 2005 to 2018 |
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 |
geographical study on amyotrophic lateral sclerosis in rio grande do norte, brazil, from 2005 to 2018 |
publisher |
Taylor and Francis Group |
publishDate |
2023 |
url |
https://repositorio.ufrn.br/handle/123456789/52837 https://doi.org/10.1080/21678421.2022.2102429 |
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