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Abstract B019: Using Big Data to investigate disparities in cervix cancer survival: Racial and ethnic minorities and those with income and insurance disparities have worse overall survival from cervix cancer
Background: The burden of cervix cancer diagnosis is most profound on the medically underserved, who do not have access to prevention and early detection methods for cervical cancer. Using Big Data, the impact of race, ethnicity, insurance status, and socioeconomic status is investigated in those di...
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Published in: | Cancer epidemiology, biomarkers & prevention biomarkers & prevention, 2020-06, Vol.29 (6_Supplement_1), p.B019-B019 |
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Main Authors: | , |
Format: | Article |
Language: | English |
Online Access: | Get full text |
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Summary: | Background: The burden of cervix cancer diagnosis is most profound on the medically underserved, who do not have access to prevention and early detection methods for cervical cancer. Using Big Data, the impact of race, ethnicity, insurance status, and socioeconomic status is investigated in those diagnosed with this disease. Our hypothesis is that the burden in diagnosed cancer continues this pattern of afflicting those without ready or optimal access to care.
Methods: Using data from the National Cancer Database (NCDB), which captures about 75% of all cancer care across the United States, patterns of care in cervix cancer patients were investigated. Multivariate Cox regression analysis and Kaplan Meier survival analysis were employed to assess the association between patient characteristics and disease outcomes.
Results: Cervical cancer patients from 2004-2012 were identified, and 15,194 were identified for analysis. The standard of care was used in less than half of the patients (44.3%) and those patients treated per standard of care had improved overall survival of 93 versus 33 months (p |
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ISSN: | 1055-9965 1538-7755 |
DOI: | 10.1158/1538-7755.DISP18-B019 |