ArticleCancer causes & control : CCC2020
Spatial clusters of cancer incidence: analyzing 1940 census data linked to 1966-2017 cancer records.
Article in Cancer causes & control : CCC, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
7 citing papers in PubMed.
- Why it's so hard to match residence addresses to census blocks - and how to fix it.Transactions in GIS : TG · 2026Article
- Harvesting Risk: An Ecologic Study of Agricultural Practices and Patterns and Melanoma Incidence in Pennsylvania.JCO clinical cancer informatics · 2025Article
- A Shared-Frailty Spatial Scan Statistic Model for Time-to-Event Data.Biometrical journal. Biometrische Zeitschrift · 2024Article
- Article
- Changes in spatial clusters of cancer incidence and mortality over 15 years in South Korea: Implication to cancer control.Cancer medicine · 2023Article
- Geographic Proximity of Family Members and Healthcare Utilization After Complex Surgical Procedures.Annals of surgery · 2022Article
- Recent Malignant Melanoma Epidemiology in Upper Silesia, Poland. A Decade-Long Study Focusing on the Agricultural Sector.International journal of environmental research and public health · 2021Article
Corrections and comments
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Authors and funding
10 authors.
Funding
Abstract
purposeA life course perspective to cancer incidence is important for understanding effects of the environment during early life on later cancer risk. We assessed spatial clusters of cancer incidence based on early life location defined as 1940 US Census Enumeration District (ED).
methodsA cohort of 260,585 individuals aged 0-40 years in 1940 was selected. Individuals were followed from 1940 to cancer diagnosis, death, or last residence in Utah. We geocoded ED centroids in Utah for the 1940 Census. Spatial scan statistics with purely spatial elliptic scanning window were used to identify spatial clusters of EDs with excess cancer rates across 26 cancer types, assuming a discrete Poisson model.
resultsCancer was diagnosed in 66,904 (25.67%) individuals during follow-up across 892 EDs. Average follow-up was 50.9 years. We detected 15 clusters of excess risk for bladder, breast, cervix, colon, lung, melanoma, oral, ovary, prostate, and soft tissue cancers. An urban area had dense overlap of multiple cancer types, including two EDs at increased risk for five cancer types each.
conclusionsEarly environments may contribute to cancer risk later in life. Life course perspectives applied to the study of cancer incidence can provide insights for increasing understanding of cancer etiology.
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