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Clustering of non-leukemia childhood cancer in Colombia: a nationwide study
Background: Childhood cancer is considered one the most important causes of death in children and adolescents, despite having a low incidence in this population. Spatial analysis has been previously used for the study of childhood cancer to study the geographical distribution of leukemias. This stud...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
F1000 Research Limited
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8261763/ https://www.ncbi.nlm.nih.gov/pubmed/34249334 http://dx.doi.org/10.12688/f1000research.27766.2 |
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author | Manrique-Hernández, Edgar F. Rojas Díaz, Marcela Pilar Rodriguez-Villamizar, Laura Andrea |
author_facet | Manrique-Hernández, Edgar F. Rojas Díaz, Marcela Pilar Rodriguez-Villamizar, Laura Andrea |
author_sort | Manrique-Hernández, Edgar F. |
collection | PubMed |
description | Background: Childhood cancer is considered one the most important causes of death in children and adolescents, despite having a low incidence in this population. Spatial analysis has been previously used for the study of childhood cancer to study the geographical distribution of leukemias. This study aimed to identify the presence of space-time clusters of childhood of cancer excluding leukemia in Colombia between 2014 and 2017. Methods: All incident cancer cases (excluding leukemia) in children under the age of 15 years that had been confirmed by the National Surveillance System of Childhood Cancer between 2014 and 2017 were included. Kulldorf’s circular scan test was used to identify clusters using the municipality of residence as the spatial unit of analysis and the year of diagnosis as the temporal unit of analysis. A sensitivity analysis was conducted with different upper limit parameters for the at-risk population in the clusters. Results: A total of 2006 cases of non-leukemia childhood cancer were analyzed, distributed in 432 out of 1,122 municipalities with a mean annual incidence rate of 44 cases per million children under the age of 15. Central nervous system (CNS) tumors were the most frequent type. Two space-time clusters were identified in the central and southwest regions of the country. In the analysis for CNS tumors, a spatial cluster was identified in the central region of the country. Conclusions: The distribution of non-leukemia childhood cancer seems to have a clustered distribution in some Colombian regions that may suggest infectious or environmental factors associated with its incidence although heterogeneity in access to diagnosis cannot be discarded. |
format | Online Article Text |
id | pubmed-8261763 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | F1000 Research Limited |
record_format | MEDLINE/PubMed |
spelling | pubmed-82617632021-07-08 Clustering of non-leukemia childhood cancer in Colombia: a nationwide study Manrique-Hernández, Edgar F. Rojas Díaz, Marcela Pilar Rodriguez-Villamizar, Laura Andrea F1000Res Research Article Background: Childhood cancer is considered one the most important causes of death in children and adolescents, despite having a low incidence in this population. Spatial analysis has been previously used for the study of childhood cancer to study the geographical distribution of leukemias. This study aimed to identify the presence of space-time clusters of childhood of cancer excluding leukemia in Colombia between 2014 and 2017. Methods: All incident cancer cases (excluding leukemia) in children under the age of 15 years that had been confirmed by the National Surveillance System of Childhood Cancer between 2014 and 2017 were included. Kulldorf’s circular scan test was used to identify clusters using the municipality of residence as the spatial unit of analysis and the year of diagnosis as the temporal unit of analysis. A sensitivity analysis was conducted with different upper limit parameters for the at-risk population in the clusters. Results: A total of 2006 cases of non-leukemia childhood cancer were analyzed, distributed in 432 out of 1,122 municipalities with a mean annual incidence rate of 44 cases per million children under the age of 15. Central nervous system (CNS) tumors were the most frequent type. Two space-time clusters were identified in the central and southwest regions of the country. In the analysis for CNS tumors, a spatial cluster was identified in the central region of the country. Conclusions: The distribution of non-leukemia childhood cancer seems to have a clustered distribution in some Colombian regions that may suggest infectious or environmental factors associated with its incidence although heterogeneity in access to diagnosis cannot be discarded. F1000 Research Limited 2021-06-25 /pmc/articles/PMC8261763/ /pubmed/34249334 http://dx.doi.org/10.12688/f1000research.27766.2 Text en Copyright: © 2021 Manrique-Hernández EF et al. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution Licence, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Article Manrique-Hernández, Edgar F. Rojas Díaz, Marcela Pilar Rodriguez-Villamizar, Laura Andrea Clustering of non-leukemia childhood cancer in Colombia: a nationwide study |
title | Clustering of non-leukemia childhood cancer in Colombia: a nationwide study |
title_full | Clustering of non-leukemia childhood cancer in Colombia: a nationwide study |
title_fullStr | Clustering of non-leukemia childhood cancer in Colombia: a nationwide study |
title_full_unstemmed | Clustering of non-leukemia childhood cancer in Colombia: a nationwide study |
title_short | Clustering of non-leukemia childhood cancer in Colombia: a nationwide study |
title_sort | clustering of non-leukemia childhood cancer in colombia: a nationwide study |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8261763/ https://www.ncbi.nlm.nih.gov/pubmed/34249334 http://dx.doi.org/10.12688/f1000research.27766.2 |
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