Publication:
Spatial Analysis of Childhood Cancer: A Case/Control Study

dc.contributor.authorRamis, Rebeca
dc.contributor.authorGomez-Barroso, Diana
dc.contributor.authorTamayo, Ibon
dc.contributor.authorGarcía-Pérez, Javier
dc.contributor.authorMorales-Piga, Antonio
dc.contributor.authorPardo Romaguera, Elena
dc.contributor.authorLopez-Abente, Gonzalo
dc.contributor.funderInstituto de Salud Carlos III
dc.date.accessioned2019-02-27T19:12:22Z
dc.date.available2019-02-27T19:12:22Z
dc.date.issued2015-05
dc.description.abstractBACKGROUND: 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.es_ES
dc.description.peerreviewedes_ES
dc.description.sponsorshipThis study was funded by Spain's Health Research Fund (Fondo de Investigación Sanitaria—FIS 12/01416).es_ES
dc.format.number5es_ES
dc.format.pagee0127273es_ES
dc.format.volume10es_ES
dc.identifier.citationPLoS One. 2015 May 20;10(5):e0127273es_ES
dc.identifier.doi10.1371/journal.pone.0127273es_ES
dc.identifier.e-issn1932-6203es_ES
dc.identifier.journalPLOS ONEes_ES
dc.identifier.pubmedID25992892es_ES
dc.identifier.urihttp://hdl.handle.net/20.500.12105/7249
dc.language.isoenges_ES
dc.publisherPublic Library of Science (PLOS)
dc.relation.projectFISinfo:fis/Instituto de Salud Carlos III/null/null/Subprograma de proyectos de investigacion en salud (AES 2012) (2012)/PI12/01416
dc.relation.publisherversionhttps://journals.plos.org/plosone/article?id=10.1371/journal.pone.0127273es_ES
dc.repisalud.centroISCIII::Centro Nacional de Epidemiología (CNE)es_ES
dc.repisalud.centroISCIII::Instituto de Investigación de Enfermedades Raras (IIER)es_ES
dc.repisalud.institucionISCIIIes_ES
dc.rights.accessRightsopen accesses_ES
dc.rights.licenseAtribución-4.0 Internacional*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/*
dc.subject.meshCase-Control Studieses_ES
dc.subject.meshChildes_ES
dc.subject.meshCluster Analysises_ES
dc.subject.meshHumanses_ES
dc.subject.meshNeoplasmses_ES
dc.subject.meshSpaines_ES
dc.subject.meshSpatial Analysises_ES
dc.titleSpatial Analysis of Childhood Cancer: A Case/Control Studyes_ES
dc.typeresearch articlees_ES
dc.type.hasVersionVoRes_ES
dspace.entity.typePublication
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