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. 2019 Aug;120(2):270-279.
doi: 10.1002/jso.25503. Epub 2019 May 18.

Influence of race and geographic setting on the management of gastric adenocarcinoma

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Influence of race and geographic setting on the management of gastric adenocarcinoma

Mark B Ulanja et al. J Surg Oncol. 2019 Aug.

Abstract

Background and objectives: Conflicting evidence indicates that both race and geographic setting may influence the management of malignancies such as gastric adenocarcinoma (GAC).

Methods: We designed a retrospective cohort study utilizing data from the Surveillance, Epidemiology, and End Results program to identify patients with resectable GAC (N = 15 991). Exposures of interest were race and geographic region of diagnosis (West [WE], Midwest [MW], South [SO], or Northeast [NE]). Endpoints included: (1) recommendation against surgery and (2) gastric adenocarcinoma-specific survival (GACSS). Multivariable logistic and Cox regression models were used to identify pertinent associations.

Results: A total of 15 991 patients were included (2007-2015). In adjusted analysis, African American individuals more frequently received a recommendation against surgical resection than White (adjusted odds ratio [aOR] = 0.86; 95% confidence interval [CI], 0.76-0.98), Asian American (aOR = 0.55; 95% CI, 0.46-0.65), and American Indian (aOR = 0.50; 95% CI, 0.31-0.82) individuals. In addition to race-based discrepancies, there was a significant association between geography and management: individuals diagnosed with GAC in the SO were more likely to receive a recommendation against surgery (odds ratio = 1.35; 95% CI, 1.23-1.49) and exhibited poorer GACSS as compared with those in the WE, MW, or NE regions.

Conclusions: Race and geographic region of diagnosis affect treatment recommendations and GACSS among individuals with resectable tumors. African Americans with resectable cancers are more likely to receive a recommendation against surgery than individuals of other racial groups.

Keywords: gastric adenocarcinoma; gastric cancer; geography and health disparity; implicit bias; race and health disparity.

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