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Spatial clustering of childhood leukaemia: summary results from the EUROCLUS project.
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 Europea...
Autores principales: | , , , , , , , , , , , , , , , , , , , |
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Formato: | Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group
1998
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2149947/ https://www.ncbi.nlm.nih.gov/pubmed/9514064 |
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author | 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. |
author_facet | 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. |
author_sort | Alexander, F. E. |
collection | PubMed |
description | 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. |
format | Text |
id | pubmed-2149947 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 1998 |
publisher | Nature Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-21499472009-09-10 Spatial clustering of childhood leukaemia: summary results from the EUROCLUS project. 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. Br J Cancer Research Article 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. Nature Publishing Group 1998-03 /pmc/articles/PMC2149947/ /pubmed/9514064 Text en https://creativecommons.org/licenses/by/4.0/This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit https://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Research Article 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. Spatial clustering of childhood leukaemia: summary results from the EUROCLUS project. |
title | Spatial clustering of childhood leukaemia: summary results from the EUROCLUS project. |
title_full | Spatial clustering of childhood leukaemia: summary results from the EUROCLUS project. |
title_fullStr | Spatial clustering of childhood leukaemia: summary results from the EUROCLUS project. |
title_full_unstemmed | Spatial clustering of childhood leukaemia: summary results from the EUROCLUS project. |
title_short | Spatial clustering of childhood leukaemia: summary results from the EUROCLUS project. |
title_sort | spatial clustering of childhood leukaemia: summary results from the euroclus project. |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2149947/ https://www.ncbi.nlm.nih.gov/pubmed/9514064 |
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