ArticlePloS one2015
Space-time analysis of testicular cancer clusters using residential histories: a case-control study in Denmark.
Article in PloS one, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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The trial behind it
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Who cites it
10 citing papers in PubMed.
- Assessing and attenuating the impact of selection bias on spatial cluster detection studies.Spatial and spatio-temporal epidemiology · 2024Article
- Constructing Residential Histories in a General Population-Based Representative Sample.American journal of epidemiology · 2024Article
- Utilizing residential histories to assess environmental exposure and socioeconomic status over the life course among mesothelioma patients.Journal of thoracic disease · 2023Article
- Challenges and opportunity in mobility among older adults - key determinant identification.BMC geriatrics · 2023Review
- Evidence of transgenerational effects on autism spectrum disorder using multigenerational space-time cluster detection.International journal of health geographics · 2022Article
- Comparing spatial patterns of 11 common cancers in Mainland China.BMC public health · 2022Article
- Ambient UVR and Environmental Arsenic Exposure in Relation to Cutaneous Melanoma in Iowa.International journal of environmental research and public health · 2022Article
- Geographic clustering of cutaneous T-cell lymphoma in New Jersey: an exploratory analysis using residential histories.Cancer causes & control : CCC · 2021Article
- Local bladder cancer clusters in southeastern Michigan accounting for risk factors, covariates and residential mobility.PloS one · 2015Article
- Factors Associated With Testicular Cancer Risk Among New American Military Recruits During Wartime.American journal of men's healthArticle
Corrections and comments
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Authors and funding
5 authors.
Funding
Abstract
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.
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