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An infectious aetiology for childhood brain tumours? Evidence from space–time clustering and seasonality analyses
To investigate whether infections or other environmental exposures may be involved in the aetiology of childhood central nervous system tumours, we have analysed for space–time clustering and seasonality using population-based data from the North West of England for the period 1954 to 1998. Knox tes...
Autores principales: | , , , , , , |
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Formato: | Texto |
Lenguaje: | English |
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Nature Publishing Group
2002
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2364189/ https://www.ncbi.nlm.nih.gov/pubmed/11953851 http://dx.doi.org/10.1038/sj.bjc.6600228 |
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author | McNally, R J Q Cairns, D P Eden, O B Alexander, F E Taylor, G M Kelsey, A M Birch, J M |
author_facet | McNally, R J Q Cairns, D P Eden, O B Alexander, F E Taylor, G M Kelsey, A M Birch, J M |
author_sort | McNally, R J Q |
collection | PubMed |
description | To investigate whether infections or other environmental exposures may be involved in the aetiology of childhood central nervous system tumours, we have analysed for space–time clustering and seasonality using population-based data from the North West of England for the period 1954 to 1998. Knox tests for space–time interactions between cases were applied with fixed thresholds of close in space, <5 km, and close in time, <1 year apart. Addresses at birth and diagnosis were used. Tests were repeated replacing geographical distance with distance to the Nth nearest neighbour. N was chosen such that the mean distance was 5 km. Data were also examined by a second order procedure based on K-functions. Tests for heterogeneity and Edwards' test for sinusoidal variation were applied to examine changes of incidence with month of birth or diagnosis. There was strong evidence of space–time clustering, particularly involving cases of astrocytoma and ependymoma. Analyses of seasonal variation showed excesses of cases born in the late Autumn or Winter. Results are consistent with a role for infections in a proportion of cases from these diagnostic groups. Further studies are needed to identify putative infectious agents. British Journal of Cancer (2002) 86, 1070–1077. DOI: 10.1038/sj/bjc/6600228 www.bjcancer.com © 2002 Cancer Research UK |
format | Text |
id | pubmed-2364189 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2002 |
publisher | Nature Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-23641892009-09-10 An infectious aetiology for childhood brain tumours? Evidence from space–time clustering and seasonality analyses McNally, R J Q Cairns, D P Eden, O B Alexander, F E Taylor, G M Kelsey, A M Birch, J M Br J Cancer Epidemiology To investigate whether infections or other environmental exposures may be involved in the aetiology of childhood central nervous system tumours, we have analysed for space–time clustering and seasonality using population-based data from the North West of England for the period 1954 to 1998. Knox tests for space–time interactions between cases were applied with fixed thresholds of close in space, <5 km, and close in time, <1 year apart. Addresses at birth and diagnosis were used. Tests were repeated replacing geographical distance with distance to the Nth nearest neighbour. N was chosen such that the mean distance was 5 km. Data were also examined by a second order procedure based on K-functions. Tests for heterogeneity and Edwards' test for sinusoidal variation were applied to examine changes of incidence with month of birth or diagnosis. There was strong evidence of space–time clustering, particularly involving cases of astrocytoma and ependymoma. Analyses of seasonal variation showed excesses of cases born in the late Autumn or Winter. Results are consistent with a role for infections in a proportion of cases from these diagnostic groups. Further studies are needed to identify putative infectious agents. British Journal of Cancer (2002) 86, 1070–1077. DOI: 10.1038/sj/bjc/6600228 www.bjcancer.com © 2002 Cancer Research UK Nature Publishing Group 2002-04-08 /pmc/articles/PMC2364189/ /pubmed/11953851 http://dx.doi.org/10.1038/sj.bjc.6600228 Text en Copyright © 2002 Cancer Research UK 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 | Epidemiology McNally, R J Q Cairns, D P Eden, O B Alexander, F E Taylor, G M Kelsey, A M Birch, J M An infectious aetiology for childhood brain tumours? Evidence from space–time clustering and seasonality analyses |
title | An infectious aetiology for childhood brain tumours? Evidence from space–time clustering and seasonality analyses |
title_full | An infectious aetiology for childhood brain tumours? Evidence from space–time clustering and seasonality analyses |
title_fullStr | An infectious aetiology for childhood brain tumours? Evidence from space–time clustering and seasonality analyses |
title_full_unstemmed | An infectious aetiology for childhood brain tumours? Evidence from space–time clustering and seasonality analyses |
title_short | An infectious aetiology for childhood brain tumours? Evidence from space–time clustering and seasonality analyses |
title_sort | infectious aetiology for childhood brain tumours? evidence from space–time clustering and seasonality analyses |
topic | Epidemiology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2364189/ https://www.ncbi.nlm.nih.gov/pubmed/11953851 http://dx.doi.org/10.1038/sj.bjc.6600228 |
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