Literature DB >> 18650180

Cost-effectiveness of extended adjuvant rituximab for US patients aged 65-70 years with follicular lymphoma in second remission.

John W Hayslip1, Kit N Simpson.   

Abstract

PURPOSE: A recent Intergroup trial showed that receiving adjuvant rituximab after having a second remission from follicular lymphoma (FL) improved progression-free and overall survival (OS). The current study was conducted to determine the incremental cost-effectiveness ratio of this strategy in the United States. PATIENTS AND METHODS: We constructed a transition state model to estimate the incremental cost-effectiveness ratio of extended adjuvant rituximab for 2 years for patients having a second FL remission. Event-free and OS rates were estimated from the recently published Intergroup trial. These were adjusted to reflect the contribution of non-cancer-specific mortality for patients aged 65-70 years, a more commonly affected age group than in the Intergroup trial, which had a median age of 54 years. Previously reported quality of life and cost estimates were obtained from peer-reviewed sources.
RESULTS: Five years after a second induction with R-CHOP (rituximab with cyclophosphamide/doxorubicin/vincristine/ prednisone), disease-free survival is expected to be 47% and 22%, and the OS rates are estimated to be 73% and 61% for extended adjuvant rituximab and observation, respectively, during the second remission. The discounted incremental cost-effectiveness ratio for the addition of adjuvant rituximab is estimated to be $19,522 per quality-adjusted life-years gained.
CONCLUSION: Extended adjuvant rituximab offers a clinical benefit to patients aged 65-70 years who have a second remission from FL at a cost generally acceptable to the US healthcare system.

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Year:  2008        PMID: 18650180     DOI: 10.3816/CLM.2008.n.020

Source DB:  PubMed          Journal:  Clin Lymphoma Myeloma        ISSN: 1557-9190


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10.  A Generic Model for Follicular Lymphoma: Predicting Cost, Life Expectancy, and Quality-Adjusted-Life-Year Using UK Population-Based Observational Data.

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