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      Persistent Disparity: Socioeconomic Deprivation and Cancer Outcomes in Patients Treated in Clinical Trials

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          PURPOSE

          Patients with cancer living in socioeconomically disadvantaged areas have worse cancer outcomes. The association between socioeconomic deprivation and outcomes among patients with cancer participating in clinical trials has not been systematically examined.

          METHODS

          We examined survival outcomes for patients enrolled in phase III and large phase II clinical trials for major cancers conducted by the SWOG Cancer Research Network from 1985 to 2012. Socioeconomic deprivation was measured using trial participants' residential zip codes linked to the Area Deprivation Index (ADI). Five-year overall survival, progression-free survival, and cancer-specific survival were examined using Cox regression frailty models, adjusting for age, sex, and race, and separately for insurance status, prognostic risk, and rural or urban residency.

          RESULTS

          We examined 41,109 patients from 55 trials comprising 24 cancer histology and stage-specific cohorts. Compared with trial participants in the most affluent areas (ADI, 0%-20%), trial participants from areas with the highest socioeconomic deprivation (ADI, 80%-100%) had worse overall (hazard ratio [HR] = 1.28, 95% CI, 1.20 to 1.37, P < .001), progression-free (HR = 1.20, 95% CI, 1.13 to 1.28, P < .001), and cancer-specific survival (HR = 1.27, 95% CI, 1.18 to 1.37, P < .001). The results were similar after adjusting for insurance status, prognostic risk, and rural or urban residency. There was a continuous increase in risk of all outcomes as the ADI quintile increased.

          CONCLUSION

          In patients with cancer with access to protocol-directed care in clinical trials, high area-level socioeconomic deprivation was associated with worse survival. Future research should examine whether the etiology of this residual disparity is related to reduced access to supportive care or postprotocol therapy and/or to differences in health status not reflected by protocol selection criteria.

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          Most cited references44

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          Cancer statistics, 2019

          Each year, the American Cancer Society estimates the numbers of new cancer cases and deaths that will occur in the United States and compiles the most recent data on cancer incidence, mortality, and survival. Incidence data, available through 2015, were collected by the Surveillance, Epidemiology, and End Results Program; the National Program of Cancer Registries; and the North American Association of Central Cancer Registries. Mortality data, available through 2016, were collected by the National Center for Health Statistics. In 2019, 1,762,450 new cancer cases and 606,880 cancer deaths are projected to occur in the United States. Over the past decade of data, the cancer incidence rate (2006-2015) was stable in women and declined by approximately 2% per year in men, whereas the cancer death rate (2007-2016) declined annually by 1.4% and 1.8%, respectively. The overall cancer death rate dropped continuously from 1991 to 2016 by a total of 27%, translating into approximately 2,629,200 fewer cancer deaths than would have been expected if death rates had remained at their peak. Although the racial gap in cancer mortality is slowly narrowing, socioeconomic inequalities are widening, with the most notable gaps for the most preventable cancers. For example, compared with the most affluent counties, mortality rates in the poorest counties were 2-fold higher for cervical cancer and 40% higher for male lung and liver cancers during 2012-2016. Some states are home to both the wealthiest and the poorest counties, suggesting the opportunity for more equitable dissemination of effective cancer prevention, early detection, and treatment strategies. A broader application of existing cancer control knowledge with an emphasis on disadvantaged groups would undoubtedly accelerate progress against cancer.
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            Regression Models and Life-Tables

            D R Cox (1972)
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              Making Neighborhood-Disadvantage Metrics Accessible — The Neighborhood Atlas

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                Author and article information

                Journal
                J Clin Oncol
                J Clin Oncol
                jco
                jco
                JCO
                Journal of Clinical Oncology
                Wolters Kluwer Health
                0732-183X
                1527-7755
                20 April 2021
                17 March 2021
                : 39
                : 12
                : 1339-1348
                Affiliations
                [ 1 ]SWOG Statistics and Data Management Center, Seattle, WA
                [ 2 ]Fred Hutchinson Cancer Research Center, Seattle, WA
                [ 3 ]University of Maryland, Baltimore, MD
                [ 4 ]Baptist Cancer Center, Memphis, TN
                [ 5 ]Sweetwater Regional Cancer Center, Rock Springs, WY
                [ 6 ]Columbia University, New York, NY
                Author notes
                Joseph M. Unger, PhD, Fred Hutchinson Cancer Research Center, 1100 Fairview Ave N, M3-C102, Seattle, WA 98109; e-mail: junger@ 123456fredhutch.org .
                Author information
                https://orcid.org/0000-0002-5191-0317
                https://orcid.org/0000-0002-7514-7360
                https://orcid.org/0000-0003-0721-7053
                https://orcid.org/0000-0001-9427-8545
                https://orcid.org/0000-0001-5972-8280
                https://orcid.org/0000-0001-8807-153X
                Article
                JCO.20.02602
                10.1200/JCO.20.02602
                8078474
                33729825
                0d4dc5e3-c858-4dca-821c-744c8d7da246
                © 2021 by American Society of Clinical Oncology

                Creative Commons Attribution Non-Commercial No Derivatives 4.0 License: https://creativecommons.org/licenses/by-nc-nd/4.0/

                History
                : 24 August 2020
                : 7 December 2020
                : 29 January 2021
                Page count
                Figures: 4, Tables: 2, Equations: 0, References: 44, Pages: 0
                Categories
                ORIGINAL REPORTS
                Health Services and Outcomes
                Custom metadata
                TRUE

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