OBJECTIVE: To evaluate the cost utility of imatinib compared with interferon (IFN)-alpha or hydroxycarbamide (hydroxyurea) for first-line treatment of chronic myeloid leukaemia. DESIGN AND SETTING: A cost-utility (Markov) model within the setting of the UK NHS and viewed from a health system perspective was adopted. Transition probabilities and relative risks were estimated from published literature. Costs of drug treatment, outpatient care, bone marrow biopsies, radiography, blood transfusions and inpatient care were obtained from the British National Formulary and local hospital databases. Costs (pound, year 2001-03 values) were discounted at 6%. Quality-of-life (QOL) data were obtained from the published literature and discounted at 1.5%. The main outcome measure was cost per QALY gained. Extensive one-way sensitivity analyses were performed along with probabilistic (stochastic) analysis. RESULTS: The incremental cost-effectiveness ratio (ICER) of imatinib, compared with IFNalpha, was pound26,180 per QALY gained (one-way sensitivity analyses ranged from pound19,449 to pound51,870) and compared with hydroxycarbamide was pound86,934 per QALY (one-way sensitivity analyses ranged from pound69,701 to pound147,095) [ pound1=$US1.691=euro1.535 as at 31 December 2002].Based on the probabilistic sensitivity analysis, 50% of the ICERs for imatinib, compared with IFNalpha, fell below a threshold of approximately pound31,000 per QALY gained. Fifty percent of ICERs for imatinib, compared with hydroxycarbamide, fell below approximately pound95,000 per QALY gained. CONCLUSIONS: This model suggests, given its underlying data and assumptions, that imatinib may be moderately cost effective when compared with IFNalpha but considerably less cost effective when compared with hydroxycarbamide. There are, however, many uncertainties due to the lack of long-term data.
OBJECTIVE: To evaluate the cost utility of imatinib compared with interferon (IFN)-alpha or hydroxycarbamide (hydroxyurea) for first-line treatment of chronic myeloid leukaemia. DESIGN AND SETTING: A cost-utility (Markov) model within the setting of the UK NHS and viewed from a health system perspective was adopted. Transition probabilities and relative risks were estimated from published literature. Costs of drug treatment, outpatient care, bone marrow biopsies, radiography, blood transfusions and inpatient care were obtained from the British National Formulary and local hospital databases. Costs (pound, year 2001-03 values) were discounted at 6%. Quality-of-life (QOL) data were obtained from the published literature and discounted at 1.5%. The main outcome measure was cost per QALY gained. Extensive one-way sensitivity analyses were performed along with probabilistic (stochastic) analysis. RESULTS: The incremental cost-effectiveness ratio (ICER) of imatinib, compared with IFNalpha, was pound26,180 per QALY gained (one-way sensitivity analyses ranged from pound19,449 to pound51,870) and compared with hydroxycarbamide was pound86,934 per QALY (one-way sensitivity analyses ranged from pound69,701 to pound147,095) [ pound1=$US1.691=euro1.535 as at 31 December 2002].Based on the probabilistic sensitivity analysis, 50% of the ICERs for imatinib, compared with IFNalpha, fell below a threshold of approximately pound31,000 per QALY gained. Fifty percent of ICERs for imatinib, compared with hydroxycarbamide, fell below approximately pound95,000 per QALY gained. CONCLUSIONS: This model suggests, given its underlying data and assumptions, that imatinib may be moderately cost effective when compared with IFNalpha but considerably less cost effective when compared with hydroxycarbamide. There are, however, many uncertainties due to the lack of long-term data.
Authors: F Bonifazi; A De Vivo; G Rosti; M Tiribelli; D Russo; E Trabacchi; M Fiacchini; E Montefusco; M Baccarani Journal: Br J Haematol Date: 2000-11 Impact factor: 6.998
Authors: Hagop M Kantarjian; Moshe Talpaz; Susan O'Brien; Terry L Smith; Francis J Giles; Stefan Faderl; Deborah A Thomas; Guillermo Garcia-Manero; Jean-Pierre J Issa; Michael Andreeff; Steven M Kornblau; Charles Koller; Milosav Beran; Michael Keating; Mary Beth Rios; Jenny Shan; Debra Resta; Renaud Capdeville; Kimberly Hayes; Maher Albitar; Emil J Freireich; Jorge E Cortes Journal: Clin Cancer Res Date: 2002-07 Impact factor: 12.531
Authors: Ursula Rochau; Martina Kluibenschaedl; David Stenehjem; Kuo Kuan-Ling; Jerald Radich; Gary Oderda; Diana Brixner; Uwe Siebert Journal: Leuk Res Treatment Date: 2015-12-10
Authors: Anna Forsythe; Patricia S Brandt; Mike Dolph; Sachin Patel; Adrian Paul J Rabe; Gabriel Tremblay Journal: Clinicoecon Outcomes Res Date: 2018-01-25