Race and Gender Disparity in the Surgical Management of Hepatocellular Cancer: Analysis of the Surveillance, Epidemiology, and End Results (SEER) Program Registry

Author(s):  
Michael Darden ◽  
Geoffrey Parker ◽  
Dominique Monlezun ◽  
Edward Anderson ◽  
Joseph F. Buell
2020 ◽  
Vol 38 (15_suppl) ◽  
pp. e17032-e17032
Author(s):  
Sachin Gupta ◽  
Monika Joshi ◽  
Xingran Weng ◽  
Li Wang

e17032 Background: Little is known about the patterns of racial and gender disparities in bladder cancer (BC). This study will use national large database to explore those disparities. Methods: Data from the National Cancer Institute’sSurveillance, Epidemiology, and End Results (SEER) Program for cancer registries was used. Patients > = 18 years diagnosed with BC in the years 2007-2016 were identified from SEER 18 database. We used the data year 2007 because that was the year when insurance status was first collected in SEER. Chi-square tests and multinomial logistic regression were used. Results: A total of 78,151 (females: 25.58%) patients were included, with 82.74% being non-Hispanic whites, 5.83% non-Hispanic blacks, 6.69 % Hispanics and 4.74% others. Distribution of stage 0 through stage IV at diagnosis was 51.97%, 23.21%, 12.11%, 4.10% and 8.61% respectively. Blacks (P < 0.0001) and females (P < 0.0001) were diagnosed at later stages as in Table. e.g., 14.54% of blacks were diagnosed at stage IV, compared to 7.97% of whites; and 11.03% of females at stage IV vs. 7.77% of males. Racial disparity exists for any given insurance status. Within every age group, gender disparity exists. For example, for those under 50 years of age, 12.81% of women vs. 8.16% of men were diagnosed at stage IV. After controlling for age, marital status and insurance type, both gender (P < 0.0001) and race (P < 0.0001) were statistically significant in predicting stage at diagnosis. Conclusions: Racial disparity in stage at BC diagnosis was strong, with blacks suffering most from the disparity. Females were more likely to be diagnosed at later stages, and this gender disparity exists in all age groups and was not due to women living longer. The existence of both racial and gender disparities in BC makes black women most vulnerable to late diagnosis than any other racial/gender group. Oncologists treating BC patients should be aware of the racial and gender disparity. More research needs to be done to help improve early access to health care amongst female and minority BC patients. [Table: see text]


2012 ◽  
Vol 187 (4S) ◽  
Author(s):  
Max Kates ◽  
Michael Whalen ◽  
Gina Badalato ◽  
James McKiernan

2015 ◽  
Vol 68 (1) ◽  
pp. 163-164
Author(s):  
Zachary Klaassen ◽  
Ross Everett ◽  
Rabii Madi ◽  
Martha K. Terris

2013 ◽  
Vol 31 (8) ◽  
pp. 1794-1799 ◽  
Author(s):  
Max Kates ◽  
Michael J. Whalen ◽  
Gina M. Badalato ◽  
James M. McKiernan

Crisis ◽  
2012 ◽  
Vol 33 (2) ◽  
pp. 113-119 ◽  
Author(s):  
Michael S. Rodi ◽  
Lucas Godoy Garraza ◽  
Christine Walrath ◽  
Robert L. Stephens ◽  
D. Susanne Condron ◽  
...  

Background: In order to better understand the posttraining suicide prevention behavior of gatekeeper trainees, the present article examines the referral and service receipt patterns among gatekeeper-identified youths. Methods: Data for this study were drawn from 26 Garrett Lee Smith grantees funded between October 2005 and October 2009 who submitted data about the number, characteristics, and service access of identified youths. Results: The demographic characteristics of identified youths are not related to referral type or receipt. Furthermore, referral setting does not seem to be predictive of the type of referral. Demographic as well as other (nonrisk) characteristics of the youths are not key variables in determining identification or service receipt. Limitations: These data are not necessarily representative of all youths identified by gatekeepers represented in the dataset. The prevalence of risk among all members of the communities from which these data are drawn is unknown. Furthermore, these data likely disproportionately represent gatekeepers associated with systems that effectively track gatekeepers and youths. Conclusions: Gatekeepers appear to be identifying youth across settings, and those youths are being referred for services without regard for race and gender or the settings in which they are identified. Furthermore, youths that may be at highest risk may be more likely to receive those services.


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