Purpose of Review The outbreak of the novel coronavirus disease 2019 has emerged to be the biggest global health threat worldwide, which has now infected over 1.7 million people and claimed more than 100,000 lives around the world. Under these unprecedented circumstances, there are no well-established guidelines for cancer patients. Recent Findings The risk for serious disease and death in COVID-19 cases increases with advancing age and presence of comorbid health conditions. Since the emergence of the first case in Wuhan, China, in December 2019, tremendous research efforts have been underway to understand the mechanisms of infectivity and transmissibility of severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2), a fatal virus responsible for abysmal survival outcomes. To minimize the mortality rate, it becomes prudent to identify symptoms promptly and employ treatments appropriately. Even though no cure has been established, multiple clinical trials are underway to determine the most optimal strategy. Managing cancer patients under these circumstances is rather challenging, given their vulnerable status and the aggressive nature of their underlying disease. Summary In this comprehensive review, we discuss the impact of COVID-19 on health and the immune system of those affected, reviewing the latest treatment approaches and ongoing clinical trials. Additionally, we discuss challenges faced while treating cancer patients and propose potential approaches to manage this vulnerable population during this pandemic.
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 (OS). Socio-demographic factors, including the location of residence [metro area (MA) or rural area (RA)], gender, race, insurance status, and marital status, were analyzed. Results: A total of 88,246 [RA, N = 12,365; MA, N = 75,881] patients were included. Univariate and multivariable analysis showed that RA had worse OS (univariate HR = 1.08, p < 0.01; multivariate HR = 1.04; p < 0.01) compared to MA. When comparing different racial backgrounds, Native American and African American populations had poorer OS when compared to the white population; however, Asian patients had a better OS (multivariable HR = 0.68, p < 0.01). From a quality of care standpoint, MA patients had fewer median days to surgery (28 vs. 33; p < 0.01) with fewer positive margins (6.3% vs. 6.9%; p < 0.01) when compared to RA patients. When comparing the extent of lymph node dissection, 19.6% of MA patients underwent an extensive dissection (more than or equal to 15 lymph nodes) in comparison to 18.7% patients in RA (p = 0.03). Discussion: This study identifies socio-demographic disparities in gastric adenocarcinoma. Future health policy initiatives should focus on equitable allocation of resources to improve the outcomes.
BACKGROUND: The incidence of neuroendocrine tumors (NETs) is rapidly rising. There are very few studies investigating the role of sociodemographic factors in NETs. This study was aimed at examining how geographic and sociodemographic characteristics shape outcomes in the NET population. METHODS: A retrospective analysis using the Surveillance, Epidemiology, and End Results database was performed, and the NET patient population from 1973 to 2015 was studied. Univariate and multivariable analyses were performed to evaluate patients' disease-specific survival (DSS) and overall survival (OS). Geographic and sociodemographic factors, including the location of residence (urban area [UA] vs rural area [RA]), sex, race, insurance status, and marital status, were included in the analysis. RESULTS: A total of 53,034 patients (5517 in RAs and 47,517 in UAs) were included in the analysis. The incidence of NETs was found to be rising in both RAs and UAs but more rapidly in RAs (with the highest incidence in 2006-2015: 5.93 per 100,000 in RAs vs 4.10 per 100,000 in UAs). Patients from RAs presented at advanced stages in comparison with patients from UAs (regional, 18% vs 16%; distant, 15% vs 13%; P < .01). In the multivariable model, RA patients had a trend toward poorer OS (hazard ratio, 1.05; P = .053) in comparison with UA patients. The multivariable analysis showed significantly worse DSS and OS for uninsured, single, and male patients in comparison with insured, married, and female patients, respectively. CONCLUSIONS: This study has identified sociodemographic disparities in NET outcomes. Access to health care could be a potential contributing factor, although differences in environmental exposure, health behavior, and tumor biology could also be responsible. Cancer 2020;126:792-799.
National Institute on Aging and National Institute of Mental Health.
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