ArticleBMC cancer2014
Space-time clusters of breast cancer using residential histories: a Danish case-control study.
Article in BMC cancer, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
What it found
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Who cites it
6 citing papers in PubMed, 16 citations in OpenAlex.
- Observational methods for human studies of transgenerational effects.Epigenetics · 2024Article
- Understanding the role of environmental and socioeconomic factors in the geographic variation of breast cancer risk in the US-wide Sister Study.Environmental research · 2023Article
- 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
- Contribution of socioeconomic and environmental factors to geographic disparities in breast cancer risk in the Nurses' Health Study II.Environmental epidemiology (Philadelphia, Pa.) · 2020Article
- Advancing neuro-oncology of glial tumors from big data and multidisciplinary studies.Journal of neuro-oncology · 2020Review
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Authors and funding
6 authors at 4 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundA large proportion of breast cancer cases are thought related to environmental factors. Identification of specific geographical areas with high risk (clusters) may give clues to potential environmental risk factors. The aim of this study was to investigate whether clusters of breast cancer existed in space and time in Denmark, using 33 years of residential histories.
methodsWe conducted a population-based case-control study of 3138 female cases from the Danish Cancer Registry, diagnosed with breast cancer in 2003 and two independent control groups of 3138 women each, randomly selected from the Civil Registration System. Residential addresses of cases and controls from 1971 to 2003 were collected from the Civil Registration System and geo-coded. Q-statistics were used to identify space-time clusters of breast cancer. All analyses were carried out with both control groups, and for 66% of the study population we also conducted analyses adjusted for individual reproductive factors and area-level socioeconomic indicators.
resultsIn the crude analyses a cluster in the northern suburbs of Copenhagen was consistently found throughout the study period (1971-2003) with both control groups. When analyses were adjusted for individual reproductive factors and area-level socioeconomic indicators, the cluster area became smaller and less evident.
conclusionsThe breast cancer cluster area that persisted after adjustment might be explained by factors that were not accounted for such as alcohol consumption and use of hormone replacement therapy. However, we cannot exclude environmental pollutants as a contributing cause, but no pollutants specific to this area seem obvious.
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