46 research outputs found

    Socioeconomic Impacts on Survival Differ by Race/Ethnicity among Adolescents and Young Adults with Non-Hodgkin's Lymphoma

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    Shorter survival has been associated with low socioeconomic status (SES) among elderly non-Hodgkin's lymphoma (NHL) patients; however it remains unknown whether the same relationship holds for younger patients. We explored the California Cancer Registry (CCR), to investigate this relationship in adolescent and young adult (AYA) NHL patients diagnosed from 1996 to 2005. A case-only survival analysis was conducted to examine demographic and clinical variables hypothesized to be related to survival. Included in the final analysis were 3,489 incident NHL cases. In the multivariate analyses, all-cause mortality (ACM) was higher in individuals who had later stage at diagnosis (P < .05) or did not receive first-course chemotherapy (P < .05). There was also a significant gradient decrease in survival, with higher ACM at each decreasing quintile of SES (P < .001). Overall results were similar for lymphoma-specific mortality. In the race/ethnicity stratified analyses, only non-Hispanic Whites (NHWs) had a significant SES-ACM trend (P < .001). Reduced overall and lymphoma-specific survival was associated with lower SES in AYAs with NHL, although a significant trend was only observed for NHWs

    Kids, Adolescents, and Young Adult Cancer Study—A Methodologic Approach in Cancer Epidemiology Research

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    Advances have been made in treatment and outcomes for pediatric cancer. However adolescents and young adults (AYAs) with cancer have not experienced similar relative improvements. We undertook a study to develop the methodology necessary for epidemiologic cancer research in these age groups. Our goal was to create the Kids, Adolescents, and Young Adults Cancer (KAYAC) project to create a resource to address research questions relevant to this population. We used a combination of clinic and population-based ascertainment to enroll 111 cases aged 0–39 for this methodology development study. The largest groups of cancer types enrolled include: breast cancer, leukemia, lymphoma, and melanoma. The overall participation rate is 69.8% and varies by age and tumor type. The study included patients, mothers, and fathers. The methods used to establish this resource are described, and the values of the resource in studies of childhood and young adult cancer are outlined

    Leukemia survival in children, adolescents, and young adults: influence of socioeconomic status and other demographic factors

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    In California, leukemia represents ~35, 5, and 2% of all cancers in children (aged 0–14), adolescents (15–29), and young adults (30–39), respectively. Poorer survival has been previously noted in individuals residing in lower socioeconomic status (SES) neighborhoods. We explored the relationship between SES and survival as modified by age and race/ethnicity using data from the California Cancer Registry. A total of 7,688 incident cases of first primary leukemia diagnosed during 1996–2005 in individuals aged 0–39 at diagnosis were included in this study. Univariate analyses of overall survival were conducted using the Kaplan–Meier method and multivariate survival analyses were performed using Cox proportional hazard regression to estimate hazard ratios. Multivariate analyses showed that overall survival and lymphoid cancer–specific survival was reduced in those individuals aged 15–39 compared to children aged 0–14. Although shorter survival was observed in non-whites, an association between lower-SES neighborhood and shorter survival was significant only for non-Hispanic whites (NHWs) (p value for trend &lt;0.05). Lack of insurance was significantly associated with shorter survival for all race/ethnicities examined except Asian/Pacific Islanders (p value &lt; 0.05). Lower survival in individuals diagnosed with leukemia was observed in adolescents and young adults compared to children and in non-whites compared to NHWs. Further, the independent effects on survival of both low SES and lack of insurance at diagnosis persisted after adjustment for demographic variables and varied across race/ethnicities
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