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Space-Time Analysis of Testicular Cancer Clusters Using Residential Histories: A Case-Control Study in Denmark
Though the etiology is largely unknown, testicular cancer incidence has seen recent significant increases in northern Europe and throughout many Western regions. The most common cancer in males under age 40, age period cohort models have posited exposures in the in utero environment or in early chil...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2015
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4355495/ https://www.ncbi.nlm.nih.gov/pubmed/25756204 http://dx.doi.org/10.1371/journal.pone.0120285 |
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author | Sloan, Chantel D. Nordsborg, Rikke B. Jacquez, Geoffrey M. Raaschou-Nielsen, Ole Meliker, Jaymie R. |
author_facet | Sloan, Chantel D. Nordsborg, Rikke B. Jacquez, Geoffrey M. Raaschou-Nielsen, Ole Meliker, Jaymie R. |
author_sort | Sloan, Chantel D. |
collection | PubMed |
description | Though the etiology is largely unknown, testicular cancer incidence has seen recent significant increases in northern Europe and throughout many Western regions. The most common cancer in males under age 40, age period cohort models have posited exposures in the in utero environment or in early childhood as possible causes of increased risk of testicular cancer. Some of these factors may be tied to geography through being associated with behavioral, cultural, sociodemographic or built environment characteristics. If so, this could result in detectable geographic clusters of cases that could lead to hypotheses regarding environmental targets for intervention. Given a latency period between exposure to an environmental carcinogen and testicular cancer diagnosis, mobility histories are beneficial for spatial cluster analyses. Nearest-neighbor based Q-statistics allow for the incorporation of changes in residency in spatial disease cluster detection. Using these methods, a space-time cluster analysis was conducted on a population-wide case-control population selected from the Danish Cancer Registry with mobility histories since 1971 extracted from the Danish Civil Registration System. Cases (N=3297) were diagnosed between 1991 and 2003, and two sets of controls (N=3297 for each set) matched on sex and date of birth were included in the study. We also examined spatial patterns in maternal residential history for those cases and controls born in 1971 or later (N= 589 case-control pairs). Several small clusters were detected when aligning individuals by year prior to diagnosis, age at diagnosis and calendar year of diagnosis. However, the largest of these clusters contained only 2 statistically significant individuals at their center, and were not replicated in SaTScan spatial-only analyses which are less susceptible to multiple testing bias. We found little evidence of local clusters in residential histories of testicular cancer cases in this Danish population. |
format | Online Article Text |
id | pubmed-4355495 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-43554952015-03-17 Space-Time Analysis of Testicular Cancer Clusters Using Residential Histories: A Case-Control Study in Denmark Sloan, Chantel D. Nordsborg, Rikke B. Jacquez, Geoffrey M. Raaschou-Nielsen, Ole Meliker, Jaymie R. PLoS One Research Article Though the etiology is largely unknown, testicular cancer incidence has seen recent significant increases in northern Europe and throughout many Western regions. The most common cancer in males under age 40, age period cohort models have posited exposures in the in utero environment or in early childhood as possible causes of increased risk of testicular cancer. Some of these factors may be tied to geography through being associated with behavioral, cultural, sociodemographic or built environment characteristics. If so, this could result in detectable geographic clusters of cases that could lead to hypotheses regarding environmental targets for intervention. Given a latency period between exposure to an environmental carcinogen and testicular cancer diagnosis, mobility histories are beneficial for spatial cluster analyses. Nearest-neighbor based Q-statistics allow for the incorporation of changes in residency in spatial disease cluster detection. Using these methods, a space-time cluster analysis was conducted on a population-wide case-control population selected from the Danish Cancer Registry with mobility histories since 1971 extracted from the Danish Civil Registration System. Cases (N=3297) were diagnosed between 1991 and 2003, and two sets of controls (N=3297 for each set) matched on sex and date of birth were included in the study. We also examined spatial patterns in maternal residential history for those cases and controls born in 1971 or later (N= 589 case-control pairs). Several small clusters were detected when aligning individuals by year prior to diagnosis, age at diagnosis and calendar year of diagnosis. However, the largest of these clusters contained only 2 statistically significant individuals at their center, and were not replicated in SaTScan spatial-only analyses which are less susceptible to multiple testing bias. We found little evidence of local clusters in residential histories of testicular cancer cases in this Danish population. Public Library of Science 2015-03-10 /pmc/articles/PMC4355495/ /pubmed/25756204 http://dx.doi.org/10.1371/journal.pone.0120285 Text en © 2015 Sloan 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 Sloan, Chantel D. Nordsborg, Rikke B. Jacquez, Geoffrey M. Raaschou-Nielsen, Ole Meliker, Jaymie R. Space-Time Analysis of Testicular Cancer Clusters Using Residential Histories: A Case-Control Study in Denmark |
title | Space-Time Analysis of Testicular Cancer Clusters Using Residential Histories: A Case-Control Study in Denmark |
title_full | Space-Time Analysis of Testicular Cancer Clusters Using Residential Histories: A Case-Control Study in Denmark |
title_fullStr | Space-Time Analysis of Testicular Cancer Clusters Using Residential Histories: A Case-Control Study in Denmark |
title_full_unstemmed | Space-Time Analysis of Testicular Cancer Clusters Using Residential Histories: A Case-Control Study in Denmark |
title_short | Space-Time Analysis of Testicular Cancer Clusters Using Residential Histories: A Case-Control Study in Denmark |
title_sort | space-time analysis of testicular cancer clusters using residential histories: a case-control study in denmark |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4355495/ https://www.ncbi.nlm.nih.gov/pubmed/25756204 http://dx.doi.org/10.1371/journal.pone.0120285 |
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