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Socioeconomic and Other Demographic Disparities Predicting Survival among Head and Neck Cancer Patients
BACKGROUND: The Institute of Medicine (IOM) report, “Unequal Treatment,” which defines disparities as racially based, indicates that disparities in cancer diagnosis and treatment are less clear. While a number of studies have acknowledged cancer disparities, they have limitations of retrospective na...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4773190/ https://www.ncbi.nlm.nih.gov/pubmed/26930647 http://dx.doi.org/10.1371/journal.pone.0149886 |
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author | Choi, Seung Hee Terrell, Jeffrey E. Fowler, Karen E. McLean, Scott A. Ghanem, Tamer Wolf, Gregory T. Bradford, Carol R. Taylor, Jeremy Duffy, Sonia A. |
author_facet | Choi, Seung Hee Terrell, Jeffrey E. Fowler, Karen E. McLean, Scott A. Ghanem, Tamer Wolf, Gregory T. Bradford, Carol R. Taylor, Jeremy Duffy, Sonia A. |
author_sort | Choi, Seung Hee |
collection | PubMed |
description | BACKGROUND: The Institute of Medicine (IOM) report, “Unequal Treatment,” which defines disparities as racially based, indicates that disparities in cancer diagnosis and treatment are less clear. While a number of studies have acknowledged cancer disparities, they have limitations of retrospective nature, small sample sizes, inability to control for covariates, and measurement errors. OBJECTIVE: The purpose of this study was to examine disparities as predictors of survival among newly diagnosed head and neck cancer patients recruited from 3 hospitals in Michigan, USA, while controlling for a number of covariates (health behaviors, medical comorbidities, and treatment modality). METHODS: Longitudinal data were collected from newly diagnosed head and neck cancer patients (N = 634). The independent variables were median household income, education, race, age, sex, and marital status. The outcome variables were overall, cancer-specific, and disease-free survival censored at 5 years. Kaplan-Meier curves and univariate and multivariate Cox proportional hazards models were performed to examine demographic disparities in relation to survival. RESULTS: Five-year overall, cancer-specific, and disease-free survival were 65.4% (407/622), 76.4% (487/622), and 67.0% (427/622), respectively. Lower income (HR, 1.5; 95% CI, 1.1–2.0 for overall survival; HR, 1.4; 95% CI, 1.0–1.9 for cancer-specific survival), high school education or less (HR, 1.4; 95% CI, 1.1–1.9 for overall survival; HR, 1.4; 95% CI, 1.1–1.9 for cancer-specific survival), and older age in decades (HR, 1.4; 95% CI, 1.2–1.7 for overall survival; HR, 1.2; 95% CI, 1.1–1.4 for cancer-specific survival) decreased both overall and disease-free survival rates. A high school education or less (HR, 1.4; 95% CI, 1.0–2.1) and advanced age (HR, 1.3; 95% CI, 1.1–1.6) were significant independent predictors of poor cancer-specific survival. CONCLUSION: Low income, low education, and advanced age predicted poor survival while controlling for a number of covariates (health behaviors, medical comorbidities, and treatment modality). Recommendations from the Institute of Medicine’s Report to reduce disparities need to be implemented in treating head and neck cancer patients. |
format | Online Article Text |
id | pubmed-4773190 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-47731902016-03-07 Socioeconomic and Other Demographic Disparities Predicting Survival among Head and Neck Cancer Patients Choi, Seung Hee Terrell, Jeffrey E. Fowler, Karen E. McLean, Scott A. Ghanem, Tamer Wolf, Gregory T. Bradford, Carol R. Taylor, Jeremy Duffy, Sonia A. PLoS One Research Article BACKGROUND: The Institute of Medicine (IOM) report, “Unequal Treatment,” which defines disparities as racially based, indicates that disparities in cancer diagnosis and treatment are less clear. While a number of studies have acknowledged cancer disparities, they have limitations of retrospective nature, small sample sizes, inability to control for covariates, and measurement errors. OBJECTIVE: The purpose of this study was to examine disparities as predictors of survival among newly diagnosed head and neck cancer patients recruited from 3 hospitals in Michigan, USA, while controlling for a number of covariates (health behaviors, medical comorbidities, and treatment modality). METHODS: Longitudinal data were collected from newly diagnosed head and neck cancer patients (N = 634). The independent variables were median household income, education, race, age, sex, and marital status. The outcome variables were overall, cancer-specific, and disease-free survival censored at 5 years. Kaplan-Meier curves and univariate and multivariate Cox proportional hazards models were performed to examine demographic disparities in relation to survival. RESULTS: Five-year overall, cancer-specific, and disease-free survival were 65.4% (407/622), 76.4% (487/622), and 67.0% (427/622), respectively. Lower income (HR, 1.5; 95% CI, 1.1–2.0 for overall survival; HR, 1.4; 95% CI, 1.0–1.9 for cancer-specific survival), high school education or less (HR, 1.4; 95% CI, 1.1–1.9 for overall survival; HR, 1.4; 95% CI, 1.1–1.9 for cancer-specific survival), and older age in decades (HR, 1.4; 95% CI, 1.2–1.7 for overall survival; HR, 1.2; 95% CI, 1.1–1.4 for cancer-specific survival) decreased both overall and disease-free survival rates. A high school education or less (HR, 1.4; 95% CI, 1.0–2.1) and advanced age (HR, 1.3; 95% CI, 1.1–1.6) were significant independent predictors of poor cancer-specific survival. CONCLUSION: Low income, low education, and advanced age predicted poor survival while controlling for a number of covariates (health behaviors, medical comorbidities, and treatment modality). Recommendations from the Institute of Medicine’s Report to reduce disparities need to be implemented in treating head and neck cancer patients. Public Library of Science 2016-03-01 /pmc/articles/PMC4773190/ /pubmed/26930647 http://dx.doi.org/10.1371/journal.pone.0149886 Text en © 2016 Choi et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Article Choi, Seung Hee Terrell, Jeffrey E. Fowler, Karen E. McLean, Scott A. Ghanem, Tamer Wolf, Gregory T. Bradford, Carol R. Taylor, Jeremy Duffy, Sonia A. Socioeconomic and Other Demographic Disparities Predicting Survival among Head and Neck Cancer Patients |
title | Socioeconomic and Other Demographic Disparities Predicting Survival among Head and Neck Cancer Patients |
title_full | Socioeconomic and Other Demographic Disparities Predicting Survival among Head and Neck Cancer Patients |
title_fullStr | Socioeconomic and Other Demographic Disparities Predicting Survival among Head and Neck Cancer Patients |
title_full_unstemmed | Socioeconomic and Other Demographic Disparities Predicting Survival among Head and Neck Cancer Patients |
title_short | Socioeconomic and Other Demographic Disparities Predicting Survival among Head and Neck Cancer Patients |
title_sort | socioeconomic and other demographic disparities predicting survival among head and neck cancer patients |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4773190/ https://www.ncbi.nlm.nih.gov/pubmed/26930647 http://dx.doi.org/10.1371/journal.pone.0149886 |
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