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      Socioeconomic and Other Demographic Disparities Predicting Survival among Head and Neck Cancer Patients

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          Abstract

          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.

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          Most cited references34

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          Racial disparities in cancer survival among randomized clinical trials patients of the Southwest Oncology Group.

          Racial disparities in cancer outcomes have been observed in several malignancies. However, it is unclear if survival differences persist after adjusting for clinical, demographic, and treatment variables. Our objective was to determine whether racial disparities in survival exist among patients enrolled in consecutive trials conducted by the Southwest Oncology Group (SWOG). We identified 19 457 adult cancer patients (6676 with breast, 2699 with lung, 1244 with colon, 1429 with ovarian, and 1843 with prostate cancers; 1291 with lymphoma; 2067 with leukemia; and 2208 with multiple myeloma) who were treated on 35 SWOG randomized phase III clinical trials from October 1, 1974, through November 29, 2001. Patients were grouped according to studies of diseases with similar histology and stage. Cox regression was used to evaluate the association between race and overall survival within each disease site grouping, controlling for available prognostic factors plus education and income, which are surrogates for socioeconomic status. Median and ten-year overall survival estimates were derived by the Kaplan-Meier method. All statistical tests were two-sided. Of 19 457 patients registered, 2308 (11.9%, range = 3.9%-21.6%) were African American. After adjustment for prognostic factors, African American race was associated with increased mortality in patients with early-stage premenopausal breast cancer (hazard ratio [HR] for death = 1.41, 95% confidence interval [CI] = 1.10 to 1.82; P = .007), early-stage postmenopausal breast cancer (HR for death = 1.49, 95% CI = 1.28 to 1.73; P < .001), advanced-stage ovarian cancer (HR for death = 1.61, 95% CI = 1.18 to 2.18; P = .002), and advanced-stage prostate cancer (HR for death = 1.21, 95% CI = 1.08 to 1.37; P = .001). No statistically significant association between race and survival for lung cancer, colon cancer, lymphoma, leukemia, or myeloma was observed. Additional adjustments for socioeconomic status did not substantially change these observations. Ten-year (and median) overall survival rates for African American vs all other patients were 68% (not reached) vs 77% (not reached), respectively, for early-stage, premenopausal breast cancer; 52% (10.2 years) vs 62% (13.5 years) for early-stage, postmenopausal breast cancer; 13% (1.3 years) vs 17% (2.3 years) for advanced ovarian cancer; and 6% (2.2 years) vs 9% (2.7 years) for advanced prostate cancer. African American patients with sex-specific cancers had worse survival than white patients, despite enrollment on phase III SWOG trials with uniform stage, treatment, and follow-up.
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            The influence of marital status on the stage at diagnosis, treatment, and survival of older women with breast cancer.

            Research indicates an association between marital status and health but this link has not been thoroughly explored. Our goal was to examine the association of marital status on the diagnosis, treatment, and survival of older women with breast cancer and the potential role socioeconomic status, education level, and comorbidities may play in explaining these associations. Retrospective cohort study using linked Medicare and National Cancer Institute Surveillance, Epidemiology, and End Results cancer registry. The sample consisted of 32,268 women aged 65 years and older who received a diagnosis of breast cancer from 1991 to 1995. Information available through 1998 allowed for 3 years of follow-up. Results showed that unmarried women were more likely to be diagnosed with breast cancer stage II-IV versus stage I and in situ (OR 1.17; CI95 1.12, 1.23). Unmarried women diagnosed with stage I or II breast cancer were less likely to receive definitive therapy (OR 1.24; CI95 1.17, 1.31). Even after controlling for cancer stage and size at diagnosis and treatment received, unmarried women were at an increased risk of death from breast cancer (HR 1.25; CI95 1.14, 1.37). Socioeconomic variables and comorbidity had little impact on the relationship between marital status and survival. Older married women were at decreased risk for mortality after a diagnosis of breast cancer. Many of the health benefits enjoyed by married women are likely derived from increased social support and social networks.
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              Impact of prediagnosis smoking, alcohol, obesity, and insulin resistance on survival in male cancer patients: National Health Insurance Corporation Study.

              Although many studies have demonstrated that smoking, alcohol, obesity, and insulin resistance are risk factors for cancer, the role of those factors on cancer survival has been less studied. The study participants were 14,578 men with a first cancer derived from a cohort of 901,979 male government employees and teachers who participated in a national health examination program in 1996. We obtained mortality data for those years from the Korean Statistical Office. We used a standard Poisson regression model to estimate the hazard ratio (HR) for survival in relation to smoking, alcohol, obesity, and insulin resistance before diagnosis. Poor survival of all cancer combined (HR, 1.24; 95% CI, 1.16 to 1.33), cancer of the lung (HR, 1.45; 95% CI, 1.15 to 1.82), and cancer of the liver (HR, 1.36; 95% CI, 1.21 to 1.53) were significantly associated with smoking. Compared with the nondrinker, heavy drinkers had worse outcomes for head and neck (HR, 1.85; 95% CI, 1.23 to 2.79) and liver (HR, 1.25; 95% CI, 1.11 to 1.41) cancer, with dose-dependent relationships. Patients with a fasting serum glucose level above 126 mg/dL had a higher mortality rate for stomach (HR, 1.52; 95% CI, 1.25 to 1.84) and lung (HR, 1.48; 95% CI, 1.18 to 1.87) cancer. Higher body mass index was significantly associated with longer survival in head and neck (HR, 0.54; 95% CI, 0.39 to 0.74) and esophagus (HR, 0.44; 95% CI, 0.28 to 0.68) cancer. Prediagnosis risk factors for cancer development (smoking, alcohol consumption, obesity, and insulin resistance) had a statistically significant effect on survival among male cancer patients.
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                Author and article information

                Contributors
                Role: Editor
                Journal
                PLoS One
                PLoS ONE
                plos
                plosone
                PLoS ONE
                Public Library of Science (San Francisco, CA USA )
                1932-6203
                1 March 2016
                2016
                : 11
                : 3
                : e0149886
                Affiliations
                [1 ]College of Nursing, Michigan State University, East Lansing, MI, United States of America
                [2 ]University of Michigan Health System, Ann Arbor, MI, United States of America
                [3 ]Center for Clinical Management Research, VA Ann Arbor Healthcare System, Ann Arbor, MI, United States of America
                [4 ]Henry Ford Hospital, Detroit, MI, United States of America
                [5 ]Department of Computational Medicine & Bioinformatics, University of Michigan, Ann Arbor, MI, United States of America
                [6 ]College of Nursing, Ohio State University, Columbus, OH, United States of America
                University of Cincinnati College of Medicine, UNITED STATES
                Author notes

                Competing Interests: The authors have declared that no competing interests exist.

                Conceived and designed the experiments: SHC SAD. Performed the experiments: NA. Analyzed the data: SHC KEF. Contributed reagents/materials/analysis tools: SHC SAD. Wrote the paper: SHC JET KEF SAM TG GTW CRB SAD.

                Article
                PONE-D-15-46255
                10.1371/journal.pone.0149886
                4773190
                26930647
                9915daf4-8472-4618-96e7-c7209ff6e766
                © 2016 Choi et al

                This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

                History
                : 21 October 2015
                : 6 February 2016
                Page count
                Figures: 1, Tables: 5, Pages: 17
                Funding
                This study was supported by the US National Institutes of Health through the University of Michigan's Head and Neck Cancer SPORE (grant #P50 CA97248). The funder had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
                Categories
                Research Article
                Medicine and Health Sciences
                Oncology
                Cancer Treatment
                Medicine and Health Sciences
                Pharmaceutics
                Drug Therapy
                Cancer Therapy
                Chemotherapy
                Medicine and Health Sciences
                Oncology
                Cancer Treatment
                Chemotherapy
                Medicine and Health Sciences
                Otorhinolaryngology
                Head and Neck Cancers
                Medicine and Health Sciences
                Oncology
                Cancer Detection and Diagnosis
                Medicine and Health Sciences
                Surgical and Invasive Medical Procedures
                Biology and Life Sciences
                Behavior
                Habits
                Smoking Habits
                Medicine and Health Sciences
                Oncology
                Cancer Treatment
                Radiation Therapy
                Social Sciences
                Sociology
                Education
                Schools
                Custom metadata
                The VA data is very sensitive and would require a number of approvals before it could be released. Similar approvals would also apply at the University of Michigan. There is a large amount of HIPPA data that would need to be de-identified. If someone wants the data, they would have to contact Sonia Duffy for Veterans Affairs data and Carol Bradford for University of Michigan data, and procedures (e.g., data sharing agreements, sign off from privacy officers, de-identification, etc.) would then need to be followed to obtain the data.

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                Uncategorized

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