Sociodemographic characteristics as predictors of outcomes in hepatocellular carcinoma: A retrospective cohort study.

2020 ◽  
Vol 38 (4_suppl) ◽  
pp. 503-503
Author(s):  
Bryce David Beutler ◽  
Mark Bilinyi Ulanja ◽  
Vijay Aluru ◽  
Nageshwara Gullapalli

503 Background: It has been established that race, insurance status, and socioeconomic class play an important role in predicting health care outcomes. However, the impact of these factors has yet to be investigated in the setting of hepatocellular carcinoma (HCC). Methods: We designed a retrospective cohort study utilizing data from the SEER program (2007-2015) to identify patients with resectable HCC (N = 28518). Exposures of interest were race (Asian [AS], Black [BL], Native American/Alaska Native [NA/AN], or White [WH]), insurance status (Medicare/Private Insurance [ME/PI], Medicaid [MAID], or No Insurance [NI]), and median household income. Endpoints included: (1) likelihood of surgical recommendation and (2) overall survival. Multinomial logistic regression for relative risk ratio (RRR) and Cox models were used to identify pertinent associations. Results: Race, insurance status, and socioeconomic class had statistically significant effects on the likelihood of surgical recommendation and overall survival. AS were more likely to receive a recommendation for hepatic resection (RRR = 1.60; 95% CI: 1.42 – 1.80; Reference Race: BL) and exhibited prolonged overall survival (HR = 0.77; 95% CI: 0.73 – 0.82) as compared to members of other ethnic groups; there was no difference in these endpoints between BL, NA/AN, or WH individuals. Patients who had ME/PI were more likely than those with MAID or NI to receive a surgical recommendation. ME/PI was also associated with superior overall survival. Individuals with a household income in the highest quintile were less likely to receive a surgical recommendation than those in the lower quintiles, but nevertheless demonstrated prolonged survival. Conclusions: Race, insurance status, and socioeconomic class have measurable effects on HCC management and outcomes. The underlying causes of these disparities warrant further investigation. [Table: see text]

2020 ◽  
Vol 27 (1) ◽  
pp. 107327482095661
Author(s):  
Bryce D. Beutler ◽  
Mark B. Ulanja ◽  
Rohee Krishan ◽  
Vijay Aluru ◽  
Munachismo L. Ndukwu ◽  
...  

Background: Race, gender, insurance status, and income play important roles in predicting health care outcomes. However, the impact of these factors has yet to be fully elucidated in the setting of hepatocellular carcinoma (HCC). Methods: We designed a retrospective cohort study utilizing data from the Surveillance, Epidemiology, and End Results (SEER) program to identify patients diagnosed with resectable HCC (N = 28,518). Demographic factors of interest included race (Asian/Pacific Islander [API], African American [AA], Native American/Alaska Native [NA], or White [WH]) and gender (male [M] or female [F]). Insurance classifications included those having Medicare/Private Insurance [ME/PI], Medicaid [MAID], or No Insurance [NI]. Median household income was estimated for all diagnosed with HCC. Endpoints included: (1) overall survival; (2) likelihood of receiving a recommendation for surgery; and (3) specific surgical intervention performed. Multivariate multinomial logistic regression for relative risk ratio (RRR) and Cox regression models were used to identify pertinent associations. Results: Race, gender, insurance status, and income had statistically significant effects on the likelihood of surgical recommendation and overall survival. API were more likely to receive a recommendation for hepatic resection (RRR = 1.45; 95% CI: 1.31-1.61; Reference Race: AA) and exhibited prolonged overall survival (HR = 0.77; 95% CI: 0.73-0.82; Reference Race: AA) as compared to members of any other ethnic group; there was no difference in these endpoints between AA, NA, or WH individuals. Gender also had a significant effect on survival: Females exhibited superior overall survival (HR = 0.89; 95% CI: 0.85-0.93; Reference Gender: M) as compared to males. Patients who had ME/PI were more likely than those with MAID or NI to receive a surgical recommendation. ME/PI was also associated with superior overall survival. Conclusions: Race, gender, insurance status, and income have measurable effects on HCC management and outcomes. The underlying causes of these disparities warrant further investigation.


2020 ◽  
Vol 18 (2) ◽  
pp. e43-e45
Author(s):  
Sheida Naderi-Azad ◽  
◽  
Faisal Sickandar ◽  
Rossanna C. Pezo ◽  
◽  
...  

Aim of the study: In this retrospective cohort study we have examined differences in survival profiles with respect to the body mass index in patients with mucosal melanoma on immune checkpoint inhibitor therapy. Materials and methods: The primary outcome included the association between the body mass index and overall survival in patients with metastatic mucosal melanoma. The secondary outcomes included the clinical presentation and management of vulvar and vaginal melanomas with oral and anorectal mucosal melanomas, as well as the surgical and radiological management of vulvar and vaginal melanomas. Kaplan–Meier analysis and log-rank test were used for the assessment of overall survival. Results: The results showed that patients with mucosal melanoma whose body mass index was ≥25 had better overall survival (p = 0.02). Overall survival was different between vulvar/vaginal vs. oral mucosal melanoma (p = 0.02). Overall survival was not different between vulvar/vaginal vs. anorectal melanoma (p = 0.77). Some immune toxicities were specific to patients with vulvar/vaginal melanoma. Conclusions: Obesity is associated with improved survival in patients with metastatic mucosal melanoma, although findings can be heterogeneous depending on the subtype of mucosal melanoma.


2020 ◽  
Vol 38 (29_suppl) ◽  
pp. 216-216
Author(s):  
Amina Dhahri ◽  
Sam Azargoon ◽  
Darshan Gandhi ◽  
Dhruvi Barot ◽  
Himan Goli ◽  
...  

216 Background: Although colorectal cancer (CRC) screening with colonoscopy reduces the risk of CRC mortality, screening rates remain low among African Americans and low social economic status (SES) patients. However, few studies have assessed CRC screening rates in under-resourced hospital service areas. Using a granular measure of socioeconomic deprivation (SED), we examined the association between social determinants and CRC screening. Methods: We conducted a retrospective cohort study from 2014-2019 to identify primary care patients referred for CRC screening with colonoscopy at an academic hospital system. Patients were assessed at annual visits for completion of colonoscopy. SED was assessed using the area deprivation index (ADI), a composite measure of 17 SED indicators including income, housing, education, and employment at the census block group level. Other social determinants analyzed were race and insurance status. Frequency and multivariable logistic regression were used for statistical analysis. Results: 1040 patients met CRC screening guidelines and were referred for colonoscopy. 136 (13.1%) underwent colonoscopy in the follow-up period. High and low SED made up 655 (63%) and 77 (7.4%) of patients, respectively. SED, race, age, and sex were not associated with higher screening rates. Uninsured patients had a lower rate of screening. After controlling for other social determinants, uninsured patients had the lowest odds of colonoscopy (OR 0.28; 95% CI, 0.08-0.92). Conclusions: In this under-resourced hospital service area, receipt of colonoscopy for CRC screening is significantly lower than previously reported. Furthermore, screening rates were persistently low across strata of SED, race and insurance status, with uninsured patients having the lowest odds of screening. These data suggest that in an under-resourced hospital service area with extensive SED, further research is needed to understand the role of social determinants and behavioral factors to address disparities in CRC screening with colonoscopy. [Table: see text]


PLoS ONE ◽  
2021 ◽  
Vol 16 (5) ◽  
pp. e0250894
Author(s):  
Sudeep K. Siddappa Malleshappa ◽  
Smith Giri ◽  
Smit Patel ◽  
Tapan Mehta ◽  
Leonard Appleman ◽  
...  

Medically underserved areas (MUA) or health professional shortage areas (HPSA) designations are based on primary care health services availability. These designations are used in recruiting international medical graduates (IMGs) trained in primary care or subspecialty (e.g., oncology) to areas of need. Whether the MUA/HPSA designation correlates with Oncologist Density (OD) and supports IMG oncologists’ recruitment to areas of need is unknown. We evaluated the concordance of OD with the designation of MUAs/HPSAs and evaluated the impact of OD and MUA/HPSA status on overall survival. We conducted a retrospective cohort study of patients diagnosed with hematological malignancies or metastatic solid tumors in 2011 from the Surveillance Epidemiology and End Results (SEER) database. SEER was linked to the American Medical Association Masterfile to calculate OD, defined as the number of oncologists per 100,000 population at the county level. We calculated the proportion of counties with MUA or HPSA designation for each OD category. Overall survival was estimated using the Kaplan-Meier method and compared between the OD category using a log-rank test. We identified 68,699 adult patients with hematologic malignancies or metastatic solid cancers in 609 counties. The proportion of MUA/HPSA designation was similar across counties categorized by OD (93.2%, 95.4%, 90.3%, and 91.7% in counties with <2.9, 2.9–6.5, 6.5–8.4 and >8.4 oncologists per 100K population, p = 0.7). Patients’ median survival in counties with the lowest OD was significantly lower compared to counties with the highest OD (8 vs. 11 months, p<0.0001). The difference remained statistically significant in multivariate and subgroup analysis. MUA/HPSA status was not associated with survival (HR 1.03, 95%CI 0.97–1.09, p = 0.3). MUA/HPSA designation based on primary care services is not concordant with OD. Patients in counties with lower OD correlated with inferior survival. Federal programs designed to recruit physicians in high-need areas should consider the availability of health care services beyond primary care.


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