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Spatial Analysis of Childhood Cancer: A Case/Control Study

BACKGROUND: Childhood cancer was the leading cause of death among children aged 1-14 years for 2012 in Spain. Leukemia has the highest incidence, followed by tumors of the central nervous system (CNS) and lymphomas (Hodgkin lymphoma, HL, and Non-Hodgkin’s lymphoma, NHL). Spatial distribution of chil...

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Autores principales: Ramis, Rebeca, Gómez-Barroso, Diana, Tamayo, Ibon, García-Pérez, Javier, Morales, Antonio, Pardo Romaguera, Elena, López-Abente, Gonzalo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4439051/
https://www.ncbi.nlm.nih.gov/pubmed/25992892
http://dx.doi.org/10.1371/journal.pone.0127273
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author Ramis, Rebeca
Gómez-Barroso, Diana
Tamayo, Ibon
García-Pérez, Javier
Morales, Antonio
Pardo Romaguera, Elena
López-Abente, Gonzalo
author_facet Ramis, Rebeca
Gómez-Barroso, Diana
Tamayo, Ibon
García-Pérez, Javier
Morales, Antonio
Pardo Romaguera, Elena
López-Abente, Gonzalo
author_sort Ramis, Rebeca
collection PubMed
description BACKGROUND: Childhood cancer was the leading cause of death among children aged 1-14 years for 2012 in Spain. Leukemia has the highest incidence, followed by tumors of the central nervous system (CNS) and lymphomas (Hodgkin lymphoma, HL, and Non-Hodgkin’s lymphoma, NHL). Spatial distribution of childhood cancer cases has been under concern with the aim of identifying potential risk factors. OBJECTIVE: The two objectives are to study overall spatial clustering and cluster detection of cases of the three main childhood cancer causes, looking to increase etiological knowledge. METHODS: We ran a case-control study. The cases were children aged 0 to 14 diagnosed with leukemia, lymphomas (HL and NHL) or CNS neoplasm in five Spanish regions for the period 1996-2011. As a control group, we used a sample from the Birth Registry matching every case by year of birth, autonomous region of residence and sex with six controls. We geocoded and validated the address of the cases and controls. For our two objectives we used two different methodologies. For the first, for overall spatial clustering detection, we used the differences of K functions from the spatial point patterns perspective proposed by Diggle and Chetwynd and the second, for cluster detection, we used the spatial scan statistic proposed by Kulldorff with a level for statistical significance of 0.05. RESULTS: We had 1062 cases of leukemia, 714 cases of CNS, 92 of HL and 246 of NHL. Accordingly we had 6 times the number of controls, 6372 controls for leukemia, 4284 controls for CNS, 552 controls for HL and 1476 controls for NHL. We found variations in the estimated empirical D(s) for the different regions and cancers, including some overall spatial clustering for specific regions and distances. We did not find statistically significant clusters. CONCLUSIONS: The variations in the estimated empirical D(s) for the different regions and cancers could be partially explained by the differences in the spatial distribution of the population; however, according to the literature, we cannot discard environmental hazards or infections agents in the etiology of these cancers.
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spelling pubmed-44390512015-05-29 Spatial Analysis of Childhood Cancer: A Case/Control Study Ramis, Rebeca Gómez-Barroso, Diana Tamayo, Ibon García-Pérez, Javier Morales, Antonio Pardo Romaguera, Elena López-Abente, Gonzalo PLoS One Research Article BACKGROUND: Childhood cancer was the leading cause of death among children aged 1-14 years for 2012 in Spain. Leukemia has the highest incidence, followed by tumors of the central nervous system (CNS) and lymphomas (Hodgkin lymphoma, HL, and Non-Hodgkin’s lymphoma, NHL). Spatial distribution of childhood cancer cases has been under concern with the aim of identifying potential risk factors. OBJECTIVE: The two objectives are to study overall spatial clustering and cluster detection of cases of the three main childhood cancer causes, looking to increase etiological knowledge. METHODS: We ran a case-control study. The cases were children aged 0 to 14 diagnosed with leukemia, lymphomas (HL and NHL) or CNS neoplasm in five Spanish regions for the period 1996-2011. As a control group, we used a sample from the Birth Registry matching every case by year of birth, autonomous region of residence and sex with six controls. We geocoded and validated the address of the cases and controls. For our two objectives we used two different methodologies. For the first, for overall spatial clustering detection, we used the differences of K functions from the spatial point patterns perspective proposed by Diggle and Chetwynd and the second, for cluster detection, we used the spatial scan statistic proposed by Kulldorff with a level for statistical significance of 0.05. RESULTS: We had 1062 cases of leukemia, 714 cases of CNS, 92 of HL and 246 of NHL. Accordingly we had 6 times the number of controls, 6372 controls for leukemia, 4284 controls for CNS, 552 controls for HL and 1476 controls for NHL. We found variations in the estimated empirical D(s) for the different regions and cancers, including some overall spatial clustering for specific regions and distances. We did not find statistically significant clusters. CONCLUSIONS: The variations in the estimated empirical D(s) for the different regions and cancers could be partially explained by the differences in the spatial distribution of the population; however, according to the literature, we cannot discard environmental hazards or infections agents in the etiology of these cancers. Public Library of Science 2015-05-20 /pmc/articles/PMC4439051/ /pubmed/25992892 http://dx.doi.org/10.1371/journal.pone.0127273 Text en © 2015 Ramis et al http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.
spellingShingle Research Article
Ramis, Rebeca
Gómez-Barroso, Diana
Tamayo, Ibon
García-Pérez, Javier
Morales, Antonio
Pardo Romaguera, Elena
López-Abente, Gonzalo
Spatial Analysis of Childhood Cancer: A Case/Control Study
title Spatial Analysis of Childhood Cancer: A Case/Control Study
title_full Spatial Analysis of Childhood Cancer: A Case/Control Study
title_fullStr Spatial Analysis of Childhood Cancer: A Case/Control Study
title_full_unstemmed Spatial Analysis of Childhood Cancer: A Case/Control Study
title_short Spatial Analysis of Childhood Cancer: A Case/Control Study
title_sort spatial analysis of childhood cancer: a case/control study
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4439051/
https://www.ncbi.nlm.nih.gov/pubmed/25992892
http://dx.doi.org/10.1371/journal.pone.0127273
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