Literature DB >> 16896037

The cost of prostate cancer chemoprevention: a decision analysis model.

Robert S Svatek1, J Jack Lee, Claus G Roehrborn, Scott M Lippman, Yair Lotan.   

Abstract

BACKGROUND: The Prostate Cancer Prevention Trial found reduced prostate cancer prevalence for men treated with finasteride. The public health cost of wide-scale chemoprevention is unclear. We developed a model to help clarify the cost effectiveness of public use of prostate cancer-preventive agents.
METHODS: A Markov decision analysis model was designed to determine the lifetime prostate health-related costs, beginning at the age of 50 years, for men treated with finasteride compared with placebo. Model assumptions were based on data from the Prostate Cancer Prevention Trial, a literature review of survival and progression rates for patients treated with radical prostatectomy, and costs associated with prostate cancer disease states.
RESULTS: Chemoprevention with finasteride resulted in a gain of 8.7 [corrected] life years per 1,000 men at a cost of $1.107 million [corrected] per life year saved (LYS). However, if finasteride is assumed to not increase the incidence of high-grade tumors, it renders a gain of 16.9 [corrected] life years per 1,000 men at a cost of $578,400 [corrected] per LYS; finasteride must cost $160 per year [corrected] to reach $100,000 [corrected] per LYS. When applied to a population at higher risk (lifetime prevalence >or=40%) [corrected]for developing prostate cancer, the cost of finasteride must be reduced from its current cost ($62/month) to <$15/month [corrected]for the cost effectiveness to fall below $50,000 [corrected] per LYS.
CONCLUSIONS: Given the natural history of treated prostate cancer, implementation of chemoprevention would require an inexpensive medication with substantial cancer risk reduction to be cost effective. Targeting populations at higher risk for developing prostate cancer, however, allows for considerable flexibility in the medication cost to make prostate cancer chemoprevention a more attainable goal.

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Year:  2006        PMID: 16896037     DOI: 10.1158/1055-9965.EPI-06-0221

Source DB:  PubMed          Journal:  Cancer Epidemiol Biomarkers Prev        ISSN: 1055-9965            Impact factor:   4.254


  13 in total

Review 1.  Chemoprevention of prostate cancer: an updated view.

Authors:  Eric A Klein; Ian M Thompson
Journal:  World J Urol       Date:  2012-01-12       Impact factor: 4.226

2.  Finasteride and prostate cancer: a commentary.

Authors:  Channing J Paller; Thomas J Smith
Journal:  Oncologist       Date:  2012-06-20

Review 3.  Prevention is better than cure: the case for clinical trials of therapeutic cancer vaccines in the prophylactic setting.

Authors:  Andrew Gray; Lisa Yan; W Martin Kast
Journal:  Mol Interv       Date:  2010-08

4.  Does variation in either age at start of therapy or duration of therapy make chemoprevention with finasteride cost-effective?

Authors:  S B Stewart; C D Scales; J W Moul; S D Reed
Journal:  Prostate Cancer Prostatic Dis       Date:  2012-07-10       Impact factor: 5.554

5.  Effects of family history and genetic polymorphism on the cost-effectiveness of chemoprevention with finasteride for prostate cancer.

Authors:  Shelby D Reed; Charles D Scales; Suzanne B Stewart; Jielin Sun; Judd W Moul; Kevin A Schulman; Jianfeng Xu
Journal:  J Urol       Date:  2011-01-15       Impact factor: 7.450

6.  Cost effectiveness of 5-alpha reductase inhibitors for the prevention of prostate cancer in multiple patient populations.

Authors:  Stephanie R Earnshaw; Cheryl L McDade; Libby K Black; Christopher F Bell; Michael W Kattan
Journal:  Pharmacoeconomics       Date:  2010       Impact factor: 4.981

7.  Changes in health utilities and health-related quality of life over 12 months following radical prostatectomy.

Authors:  Jennifer Ku; Murray Krahn; John Trachtenberg; Michael Nesbitt; Robin Kalnin; Gina Lockwood; Shabbir M H Alibhai
Journal:  Can Urol Assoc J       Date:  2009-12       Impact factor: 1.862

8.  Cost effectiveness of risk-prediction tools in selecting patients for immediate post-prostatectomy treatment.

Authors:  Valentina Bayer Zubek; Andre Konski
Journal:  Mol Diagn Ther       Date:  2009       Impact factor: 4.074

9.  The burden of prostate cancer in Canada.

Authors:  Yves Fradet; Laurence Klotz; John Trachtenberg; Alexandre Zlotta
Journal:  Can Urol Assoc J       Date:  2009-06       Impact factor: 1.862

Review 10.  Model-based cost-effectiveness analyses for prostate cancer chemoprevention : a review and summary of challenges.

Authors:  Stephanie R Earnshaw; Andrew P Brogan; Cheryl L McDade
Journal:  Pharmacoeconomics       Date:  2013-04       Impact factor: 4.981

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