Background:The three-delays model describes delays in seeking, reaching, and receiving care for vulnerable populations needing treatment. The dominant delay for patients with gastric adenocarcinoma (GAC) is unknown. We aimed to define patients with GAC who reached and received care at our regional safety-net hospital (Grady Memorial Hospital [GMH]) and our neighboring quaternary referral hospital (Emory University Hospital [EUH]). Methods: Clinicopathologic data from National Cancer Database (NCDB) participating academic centers were compared with GMH from 2004 to 2014. Outcomes of patients undergoing surgery at GMH were compared to those at EUH. Results: At presentation, compared to NCDB centers (n = 69 662), GMH patients (n = 154) were more often black (85.1 vs 17.2%; P < 0.001), uninsured (30.5 vs 4.7%; P < 0.001), have stage IV disease (43.5 vs 30.1%; P = 0.017), and received no treatment (40.3 vs 18.4%; P < 0.001). When only comparing patients who underwent curative-intent resection at GMH (n = 23) to EUH (n = 137), median overall survival was similar between both groups (GMH: median not reached; EUH: 59.8 mos; P = 0.785). Conclusion: Although vulnerable patients with GAC within a safety-net hospital present with later stages of the disease, those who received surgery have acceptable outcomes. Thus, efforts should be made to overcome barriers in seeking care. K E Y W O R D S disparty, gastric cancer, safety-net

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The aim of this study was to identify drivers of time from diagnosis to treatment (TTT) of surgically resected early stage non-small cell lung cancer (NSCLC) and determine the effect of TTT on postresection survival. Summary Background Data: Large database studies that lack relevant comorbidity data have identified longer TTT asa driver of worse overall survival. Methods: From January 1, 2014 to April 1, 2018, 599 patients underwent lung resection for clinical stage I and II NSCLC. Random forest classification, regression, and survival were used to estimate likelihood of TTT = 0 (tissue diagnosis obtained at surgery), > 0 (diagnosis obtained pre-resection), and effect of TTT on all-cause mortality. Results: Patients with TTT > 0 (n = 413) had median TTT of 42 days (25-75 th percentile: 27-59 days). Patients with TTT = 0 (n = 186) had smaller tumors and higher percent predicted forced expiratory volume in 1 second (FEV 1 %). Patients with history of stroke, oncology consultation, invasive mediastinal staging, low and high extremes of FEV 1 % had longer TTT. Higher clinical stage, lack of preoperative stress test, anemia, older age, lower FEV1% and diffusion lung capacity, larger tumor size, and longer TTT were the most important predictors of allcause mortality. One-and 5-year overall survival decreased when TTT was > 50 days. Conclusions: Preoperative physiologic workup and multidisciplinary evaluation were the predominant drivers of longer TTT. Patients with TTT = 0have more favorable presentation and should be considered in TTT analyses for early stage lung cancer populations. The time needed to clinically stage and optimize patients for resection is not deleterious to overall survival until resection is performed after 50 days from diagnosis.

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