ArticleBMC public health2021
Spatial analysis of colorectal cancer outcomes and socioeconomic factors in Virginia.
Article in BMC public health, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.
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The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
10 citing papers in PubMed, 1 synthesis or guideline pooled it, 22 citations in OpenAlex.
- Mortality rate and predictors of colorectal cancer patients in Ethiopia: a systematic review and meta-analysis.BMC cancer · 2024Pooled it
- Populational analysis of the mortality-to-incidence ratio across 20 cancer groupings in the Russian Federation.Journal of global health · 2026Article
- A Practical Strategy of Informatics, Geospatial Mapping, Geodemographic Segmentation, and Regression Analyses to Address Nonadherence to Colorectal Cancer Screening.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2026Article
- Spatial analysis of colorectal cancer outcomes: investigating the impact of place-specific factors using causal inference methods for spatial data.Journal of public health (Oxford, England) · 2025Article
- Spatial patterns of colorectal cancer survival rates in Malaysia, 2013-2018.Cancer causes & control : CCC · 2025Article
- Difficulties and Disparities in Colorectal Cancer End-of-Life Care: A Patient's Story.Clinics in colon and rectal surgery · 2025Review
- Vulnerability in Colorectal Cancer: Adjusted Gross Income and Geography as Factors in Determining Overall Survival in Colorectal Cancer: A Single-Center Study Across a Broad Income Inequality in an American Context.Current oncology (Toronto, Ont.) · 2024Article
- Increasing Colorectal Cancer Screening Among Black Men in Virginia: Development of an mHealth Intervention.JMIR formative research · 2024Article
- Patients' experiences with 'sludge' (administrative burden) in the cancer screening process and its relationship with screening completion, experience and health system distrust.Family medicine and community health · 2024Article
- Area-level Socioeconomic Disadvantage and Cancer Survival in Metropolitan Detroit.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2023Article
Corrections and comments
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Authors and funding
8 authors at 2 institutions in 1 country.
Funding
Abstract
backgroundColorectal cancer (CRC) disparities vary by country and population group, but often have spatial features. This study of the United States state of Virginia assessed CRC outcomes, and identified demographic, socioeconomic and healthcare access contributors to CRC disparities.
methodsCounty- and city-level cross-sectional data for 2011-2015 CRC incidence, mortality, and mortality-incidence ratio (MIR) were analyzed for geographically determined clusters (hotspots and cold spots) and their correlates. Spatial regression examined predictors including proportion of African American (AA) residents, rural-urban status, socioeconomic (SES) index, CRC screening rate, and densities of primary care providers (PCP) and gastroenterologists. Stationarity, which assesses spatial equality, was examined with geographically weighted regression.
resultsFor incidence, one CRC hotspot and two cold spots were identified, including one large hotspot for MIR in southwest Virginia. In the spatial distribution of mortality, no clusters were found. Rurality and AA population were most associated with incidence. SES index, rurality, and PCP density were associated with spatial distribution of mortality. SES index and rurality were associated with MIR. Local coefficients indicated stronger associations of predictor variables in the southwestern region.
conclusionsRurality, low SES, and racial distribution were important predictors of CRC incidence, mortality, and MIR. Regions with concentrations of one or more factors of disparities face additional hurdles to improving CRC outcomes. A large cluster of high MIR in southwest Virginia region requires further investigation to improve early cancer detection and support survivorship. Spatial analysis can identify high-disparity populations and be used to inform targeted cancer control programming.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.