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Cancer Med ; 7(4): 1211-1220, 2018 04.
Article in English | MEDLINE | ID: mdl-29533006

ABSTRACT

To investigate the interrelation between economic, marital, and known histopathologic/therapeutic prognostic factors in presentation and survival of patients with lung cancer in nine different ethnic groups. A retrospective review of the SEER database was conducted through the years 2007-2012. Population differences were assessed via chi-square testing. Multivariable analyses (MVA) were used to detect overall survival (OS) differences in the total population (TP, N = 153,027) and for those patients presenting with Stage IV (N = 70,968). Compared to Whites, Blacks were more likely to present with younger age, male sex, lower income, no insurance, single/widowed partnership, less squamous cell carcinomas, and advanced stage; and experience less definitive surgery, lower OS, and lung cancer-specific (LCSS) survival. White Hispanics presented with younger age, higher income, lower rates of insurance, single/widowed partnership status, advanced stage, more adenocarcinomas, and lower rates of definitive surgery, but no difference in OS and LCSS than Whites. In the TP and Stage IV populations, MVAs revealed that OS was better or equivalent to Whites for all other ethnic groups and was positively associated with insurance, marriage, and higher income. Blacks presented with more advanced disease and were more likely to succumb to lung cancer, but when adjusted for prognostic factors, they had a better OS in the TP compared to Whites. Disparities in income, marital status, and insurance rather than race affect OS of patients with lung cancer. Because of their presentation with advanced disease, Black and Hispanics are likely to have increased benefit from lung cancer screening.


Subject(s)
Ethnicity , Lung Neoplasms/epidemiology , Aged , Aged, 80 and over , Ethnicity/statistics & numerical data , Female , Follow-Up Studies , Humans , Lung Neoplasms/diagnosis , Lung Neoplasms/mortality , Male , Middle Aged , Neoplasm Metastasis , Neoplasm Staging , Patient Outcome Assessment , Proportional Hazards Models , SEER Program , Socioeconomic Factors , Symptom Assessment
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