2020
DOI: 10.3390/cancers12010157
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Socio-Demographic Disparities in Gastric Adenocarcinoma: A Population-Based Study

Abstract: Background: Gastric cancer is one of the leading causes of cancer-related mortality worldwide, accounting for 8.2% of cancer-related deaths. The purpose of this study was to investigate the geographic and sociodemographic disparities in gastric adenocarcinoma patients. Methods: We conducted a retrospective study in gastric adenocarcinoma patients between 2004 and 2013. Data were obtained from the National Cancer Data Base (NCDB). Univariate and multivariable analyses were performed to evaluate overall survival… Show more

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Cited by 35 publications
(23 citation statements)
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“…We found that API races had a lower risk of death compared to other race, which has also been proved in many earlier studies (29)(30)(31). Jin et al indicated that regular screening and earlier diagnosis among the API population might partially account for this survival advantage (32).…”
Section: Discussionsupporting
confidence: 87%
“…We found that API races had a lower risk of death compared to other race, which has also been proved in many earlier studies (29)(30)(31). Jin et al indicated that regular screening and earlier diagnosis among the API population might partially account for this survival advantage (32).…”
Section: Discussionsupporting
confidence: 87%
“…Our study is the first to demonstrate that being single, divorced, or widowed is a risk factor associated with primary site-labeled conjunctival and corneal cancer incidence. Prior studies have primarily only examined the relationship between marital status and other forms of cancer including colorectal cancer [ 22 ], neuroendocrine tumors [ 23 ], and gastric adenocarcinoma [ 24 ] in retrospective [ 25 ] analyses or in prospective analyses [ 26 ]. While several studies have assessed the relationship between marital status and patient prognosis, conclusions have varied significantly among studies.…”
Section: Discussionmentioning
confidence: 99%
“…9,10 Some studies have indicated that, of these factors, SES is a significant predictor of cancer mortality, and individuals with lower incomes, less education, and greater unemployment are more likely to have higher mortality. [11][12][13][14] Recent US-based analyses have demonstrated inequalities in cancer mortality at the county level, 15,16 but few studies investigated the degree to which county-level mortality can be explained by the larger socioeconomic context of a county. Little is known about county-level inequality patterns in premature cancer mortality that consider different SES measures, such as income, educational attainment, and employment.…”
Section: Introductionmentioning
confidence: 99%