Abstract

4066 Background: Surgical and medical treatment for resectable gastric cancer is complex, and multidisciplinary team involvement is essential to provide optimal treatment outcomes. However, socioeconomic disparities influence the quality of medical care patients receive. We hypothesized that facility type, median income, insurance type, and location would impact patients' overall survival (OS). Methods: In a retrospective analysis of NCDB data, we identified patients with stage II and III gastric adenocarcinoma who underwent curative-intent surgical resection and chemotherapy between 2004-2018. Demographic and socioeconomic factors were studied, including treatment facility type, median household income, urban/rural residence, and insurance status. Multivariate Cox proportional hazard model was used to evaluate the impact of these variables on overall survival (OS). The Kaplan-Meier method was used to estimate OS. Log-rank test was used to compare the OS between groups. Results: Based on the criteria listed above, 36,318 patients were identified: 76.3% were Caucasian, 14.4% black, 7.2% Asian, and 2.0% other. 56.4% lived in large metropolitan areas (LM), 29.9% in small/medium metropolitan areas (SM), and 14.2% in rural areas (RA). Patients who were treated in academic/research programs had significantly better OS (mOS 40.5 months) compared to integrated-network cancer programs (mOS 34.0 months, HR 0.897, p < 0.0001), comprehensive community cancer programs (mOS 31.0 months, HR 0.89, p < 0.0001), and community cancer programs (mOS 29.5, HR 0.881, p < 0.0001). Patients from LM had better OS compared to those from SM and RA (mOS 39.0, 32.1, 29.9 months respectively, p < 0.0001). Privately insured patients had improved OS compared to Medicare-insured patients (mOS 40.8 vs 29.7 months, HR 0.758, p < 0.0001). Higher annual income (≥ $63,000) was positively associated with improved OS (p < 0.0001). Conclusions: Outcomes for patients with gastric cancer treated with surgery and chemotherapy are strongly influenced by socioeconomic variables, including place of residence, treatment setting, insurance, and income level. We highlight improved outcomes in patients who resided in LM and were treated at academic/research centers. A potential hypothesis for this trend is increased access to specialized, multidisciplinary care and clinical trials.

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