Literature DB >> 25584010

Treatment selection and outcomes in early-stage classical Hodgkin lymphoma: analysis of the National Cancer Data Base.

Adam J Olszewski1, Rajesh Shrestha2, Jorge J Castillo2.   

Abstract

PURPOSE: The choice between combined-modality therapy (CMT) and chemotherapy alone for early-stage Hodgkin lymphoma (HL) remains controversial. Our objective was to define factors affecting treatment selection and resulting survival outcomes in the United States. PATIENTS AND METHODS: We identified 20,600 patients treated with CMT or chemotherapy between 2003 and 2011 from the National Cancer Data Base. Factors affecting treatment selection were studied in a mixed-effects logistic model. Survival outcomes were compared using a propensity score analysis to account for indication bias.
RESULTS: Only 49.5% of patients received CMT, and this proportion steadily declined between 2003 (59.4%) and 2011 (45.2%), particularly in younger patients. Apart from classical prognostic factors (age, stage, tumor location, histology, comorbidities), treatment selection was significantly influenced by sex, black race, distance to facility, and type of insurance. Uninsured patients had the lowest odds of receiving CMT. A significant random effect related to facility-specific treatment preference was also evident. Estimated 5-year overall survival (OS) was 89.6%, and relative survival (RS) was 94.3%. After adjustment for guarantee-time and indication biases, CMT was associated with better OS (hazard ratio [HR], 0.61; 95% CI, 0.53 to 0.70) and RS (excess HR, 0.42; 95% CI, 0.33 to 0.54) than chemotherapy alone. This effect was without significant heterogeneity in subset analysis and was not sensitive to unobserved confounding.
CONCLUSION: Socioeconomic factors affect selection of curative treatments in HL. Widespread abandonment of CMT beyond circumstances sanctioned by guidelines may affect survival. Further research should focus on developing strategies that minimize toxicity and access disparities without compromising survival.
© 2015 by American Society of Clinical Oncology.

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Year:  2015        PMID: 25584010     DOI: 10.1200/JCO.2014.58.7543

Source DB:  PubMed          Journal:  J Clin Oncol        ISSN: 0732-183X            Impact factor:   44.544


  25 in total

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