Literature DB >> 32277006

Prostate Cancer Incidence and Aggressiveness in Appalachia versus Non-Appalachia Populations in Pennsylvania by Urban-Rural Regions, 2004-2014.

Alicia C McDonald1,2, Emily Wasserman2, Eugene J Lengerich3,2, Jay D Raman3,4, Nathaniel R Geyer2, Raymond J Hohl3,5, Ming Wang3,2.   

Abstract

BACKGROUND: Few studies have examined prostate cancer incidence and aggressiveness in urban-rural Appalachian populations. We examined these rates in urban-rural Appalachia and non-Appalachia Pennsylvania (PA), and the association between these areas and more aggressive prostate cancer at diagnosis.
METHODS: Men, ages ≥ 40 years with a primary prostate cancer diagnosis, were identified from the 2004-2014 Pennsylvania Cancer Registry. Age-adjusted incidence rates for prostate cancer and more aggressive prostate cancer at diagnosis were calculated by urban-rural Appalachia status. Multivariable Poisson regressions were conducted. Multiple logistic regressions were used to examine the association between the geographic areas and more aggressive prostate cancer, after adjusting for confounders.
RESULTS: There were 94,274 cases, ages 40-105 years, included. Urban non-Appalachia had the highest 2004-2014 age-adjusted incidence rates of prostate cancer and more aggressive prostate cancer (293.56 and 96.39 per 100,000 men, respectively) and rural Appalachia had the lowest rates (256.48 and 80.18 per 100,000 men, respectively). Among the cases, urban Appalachia were more likely [OR = 1.12; 95% confidence interval (CI) = 1.08-1.17] and rural Appalachia were less likely (OR = 0.92; 95% CI = 0.87-0.97) to have more aggressive prostate cancer at diagnosis compared with urban non-Appalachia.
CONCLUSIONS: Lower incidence rates and the proportion of aggressive disease in rural Appalachia may be due to lower prostate cancer screening rates. More aggressive prostate cancer at diagnosis among the cases in urban Appalachia may be due to exposures that are prevalent in the region. IMPACT: Identifying geographic prostate cancer disparities will provide information to design programs aimed at reducing risk and closing the disparity gap. ©2020 American Association for Cancer Research.

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Year:  2020        PMID: 32277006     DOI: 10.1158/1055-9965.EPI-19-1232

Source DB:  PubMed          Journal:  Cancer Epidemiol Biomarkers Prev        ISSN: 1055-9965            Impact factor:   4.090


  3 in total

1.  Identifying Risk Profiles of Malignant Prostate Cancer Surgical Delay Using a Person-Centered Approach to Understand Prostate Cancer Disparities: The Constellation of Health Determinants Using Latent Class Analysis on Cancer Registry Data.

Authors:  Francisco A Montiel Ishino; Claire Rowan; Rina Das; Janani Thapa; Ewan Cobran; Martin Whiteside; Faustine Williams
Journal:  Am J Mens Health       Date:  2020 Nov-Dec

2.  Sociodemographic and Geographic Disparities of Prostate Cancer Treatment Delay in Tennessee: A Population-Based Study.

Authors:  Francisco A Montiel Ishino; Emmanuel A Odame; Kevin Villalobos; Claire Rowan; Martin Whiteside; Hadii Mamudu; Faustine Williams
Journal:  Am J Mens Health       Date:  2021 Nov-Dec

3.  Rural-Urban Geographical Disparities in Hepatocellular Carcinoma Incidence Among US Adults, 2004-2017.

Authors:  Robert J Wong; Sammy Saab; Peter Konyn; Vinay Sundaram; Mandana Khalili
Journal:  Am J Gastroenterol       Date:  2021-02-01       Impact factor: 12.045

  3 in total

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