Literature DB >> 16219580

Cost analysis of common treatment options for indolent follicular non-Hodgkin's lymphoma.

Michel van Agthoven1, Mark H H Kramer, Pieter Sonneveld, Klaas G van der Hem, Peter C Huijgens, Pierre W Wijermans, Hanneke C Kluin-Nelemans, M Ronald Schaafsma, Douwe H Biesma, Vera Mattijssen, Carin A Uyl-de Groot, Anton Hagenbeek.   

Abstract

BACKGROUND AND OBJECTIVES: We assessed direct health care costs associated with the most commonly prescribed treatments for indolent follicular non-Hodgkin's lymphoma (FL). DESIGN AND METHODS: New and previously diagnosed FL patients (>or=18 years) known during 1997-1998 to 15 Dutch hospitals were selected for inclusion. Each patient was followed for 3 years, and resource use associated with each of the treatments, including watchful waiting, was recorded. The hospital perspective was adopted. Unit costs were based on 2003 price levels.
RESULTS: Two hundred patients were included of whom 75% underwent one or more treatments during the 3-year data collection period [25% were not treated because of a watchful waiting strategy (10%) or complete remission (15%)]. Allogeneic and autologous stem cell transplantations were the most expensive treatments, with a mean (median) per patient cost of 45,326 euro(44,237; n=7) and 18,866 euro (16,532; n=9), respectively (up to discharge only). Intravenous fludarabine cost 10,651 euro (9,995; n=33), rituximab (10,628 euro; 10,124; n=7), and CHOP 7,547 euro (5,833; n=42). Classical FL treatments were found to be the least expensive treatments used with an estimated cost for cylophosphamide, vincristine and prednisone of 5,268 euro (2,644; n=58), for radiotherapy of 4,218 euro (4,313; n=52), and for chlorambucil of 2,476 euro (1,098; n=53). INTERPRETATION AND
CONCLUSIONS: This study presents information on resource use and costs associated with the most commonly prescribed FL treatments. In addition to differences in effectiveness, commonly used treatments vary considerably in terms of resource use and overall cost. This information is of value for resource planning, given the high costs of new treatment modalities.

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Year:  2005        PMID: 16219580

Source DB:  PubMed          Journal:  Haematologica        ISSN: 0390-6078            Impact factor:   9.941


  6 in total

1.  Retrospective analysis of first-line treatment for follicular lymphoma based on outcomes and medical economics.

Authors:  Manaka Muneishi; Ayaka Nakamura; Katsumi Tachibana; Junko Suemitsu; Shinji Hasebe; Kazuto Takeuchi; Yoshihiro Yakushijin
Journal:  Int J Clin Oncol       Date:  2017-10-24       Impact factor: 3.402

Review 2.  Economic burden of follicular non-Hodgkin's lymphoma.

Authors:  Talia Foster; Jeffrey D Miller; Mark E Boye; Mason W Russell
Journal:  Pharmacoeconomics       Date:  2009       Impact factor: 4.981

Review 3.  Fludarabine: a review of its use in non-Hodgkin's lymphoma.

Authors:  Vanessa R Anderson; Caroline M Perry
Journal:  Drugs       Date:  2007       Impact factor: 9.546

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

Authors:  Han-I Wang; Eve Roman; Simon Crouch; Eline Aas; Cathy Burton; Russell Patmore; Alexandra Smith
Journal:  Value Health       Date:  2018-04-24       Impact factor: 5.725

5.  PET-Based Staging Is Cost-Effective in Early-Stage Follicular Lymphoma.

Authors:  Andrea C Lo; Lyndon P James; Anca Prica; Adam Raymakers; Stuart Peacock; Melody Qu; Alex V Louie; Kerry J Savage; Laurie H Sehn; David Hodgson; Joanna C Yang; Hans T T Eich; Andrew Wirth; M G Myriam Hunink
Journal:  J Nucl Med       Date:  2021-08-19       Impact factor: 10.057

6.  Evaluating the Indirect Costs of Care Associated with Salvage Chemotherapy for Relapsed and Refractory Aggressive-Histology Lymphoma: A Subset Analysis of the Canadian Cancer Trials Group (CCTG) LY.12 Clinical Trial.

Authors:  Anca Prica; Annette E Hay; Michael Crump; Nicole Mittmann; Lois E Shepherd; Ralph M Meyer; Kevin I Imrie; Nancy Risebrough; Marina Djurfeldt; Bingshu E Chen; Matthew C Cheung
Journal:  Curr Oncol       Date:  2021-03-17       Impact factor: 3.677

  6 in total

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