Spatial clustering of childhood leukaemia: summary results from the EUROCLUS project.

Détails

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Etat: Serval
Version: Final published version
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ID Serval
serval:BIB_7036
Type
Article: article d'un périodique ou d'un magazine.
Collection
Publications
Titre
Spatial clustering of childhood leukaemia: summary results from the EUROCLUS project.
Périodique
British Journal of Cancer
Auteur(s)
Alexander F.E., Boyle P., Carli P.M., Coebergh J.W., Draper G.J., Ekbom A., Levi F., McKinney P.A., McWhirter W., Michaelis J., Peris-Bonet R., Petridou E., Pompe-Kirn V., Plìsko I., Pukkala E., Rahu M., Storm H., Terracini B., Vatten L., Wray N.
ISSN
0007-0920
Statut éditorial
Publié
Date de publication
1998
Volume
77
Numéro
5
Pages
818-824
Langue
anglais
Résumé
The interpretation of reports of clusters of childhood leukaemia is difficult, first because little is known about the causes of the disease, and second because there is insufficient information on whether cases show a generalized tendency to cluster geographically. The EUROCLUS project is a European collaborative study whose primary objective is to determine whether the residence locations of cases at diagnosis show a general tendency towards spatial clustering. The second objective is to interpret any patterns observed and, in particular, to see if clustering can be explained in terms of either infectious agents or environmental hazards as aetiological agents. The spatial distribution of 13351 cases of childhood leukaemia diagnosed in 17 countries between 1980 and 1989 has been analysed using the Potthoff-Whittinghill method. The overall results show statistically significant evidence of clustering of total childhood leukaemia within small census areas (P=0.03) but the magnitude of the clustering is small (extra-Poisson component of variance (%) = 1.7 with 90% confidence interval 0.2-3.1). The clustering is most marked in areas that have intermediate population density (150-499 persons km[-2]). It cannot be attributed to any specific age group at diagnosis or cell type and involves spatial aggregation of cases of different ages and cell types. The results indicate that intense clusters are a rare phenomenon that merit careful investigation, although aetiological insights are more likely to come from investigation of large numbers of cases. We present a method for detecting clustering that is simple and readily available to cancer registries and similar groups.
Mots-clé
Adolescent, Age Factors, Child, Child, Preschool, Cluster Analysis, Environmental Exposure, Europe/epidemiology, Humans, Incidence, Infant, Infant, Newborn, Infection/complications, Leukemia/classification, Leukemia/epidemiology, Precursor Cell Lymphoblastic Leukemia-Lymphoma/epidemiology, Precursor Cell Lymphoblastic Leukemia-Lymphoma/etiology, Risk, Rural Population, Urban Population
Pubmed
Création de la notice
19/11/2007 13:44
Dernière modification de la notice
29/05/2019 7:09
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