ArticleInternational journal of environmental research and public health2020
Liver Cancer Incidence and Area-Level Geographic Disparities in Pennsylvania-A Geo-Additive Approach.
Article in International journal of environmental research and public health, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed, 9 citations in OpenAlex.
- Where Should the Cancer Control Interventions Target: A Geospatial Hotspot Analysis for Major Cancer Mortality 2018 to 2022 in the United States.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2025Article
- Association of county level poverty with mortality from primary liver cancers.Cancer medicine · 2024Article
- Effect of neighborhood and individual-level socioeconomic factors on breast cancer screening adherence in a multi-ethnic study.BMC public health · 2024Article
- Neighborhood disadvantage is associated with KRAS-mutated non-small cell lung cancer risk.Journal of cancer research and clinical oncology · 2023Article
- The Use of Area-Level Socioeconomic Indices in Evaluating Cancer Care Delivery: A Scoping Review.Annals of surgical oncology · 2023Article
- Neighborhood deprivation, racial segregation and associations with cancer risk and outcomes across the cancer-control continuum.Molecular psychiatry · 2023Review
- Effect of Neighborhood and Individual-Level Socioeconomic Factors on Colorectal Cancer Screening Adherence.International journal of environmental research and public health · 2021Article
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Authors and funding
7 authors at 2 institutions in 1 country.
Funding
Abstract
Many neighborhood socioeconomic index measures (nSES) that capture neighborhood deprivation exist but the impact of measure selection on liver cancer (LC) geographic disparities remains unclear. We introduce a Bayesian geoadditive modeling approach to identify clusters in Pennsylvania (PA) with higher than expected LC incidence rates, adjusted for individual-level factors (age, sex, race, diagnosis year) and compared them to models with 7 different nSES index measures to elucidate the impact of nSES and measure selection on LC geospatial variation. LC cases diagnosed from 2007-2014 were obtained from the PA Cancer Registry and linked to nSES measures from U.S. census at the Census Tract (CT) level. Relative Risks (RR) were estimated for each CT, adjusted for individual-level factors (baseline model). Each nSES measure was added to the baseline model and changes in model fit, geographic disparity and state-wide RR ranges were compared. All 7 nSES measures were strongly associated with high risk clusters. Tract-level RR ranges and geographic disparity from the baseline model were attenuated after adjustment for nSES measures. Depending on the nSES measure selected, up to 60% of the LC burden could be explained, suggesting methodologic evaluations of multiple nSES measures may be warranted in future studies to inform LC prevention efforts.
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