scholarly journals PCN65 Cost-Effectiveness of Treating Metastatic Renal Cell Carcinoma (mRCC) Patients Whose Disease Failed on one Prior VEGF-TKI Therapy with Everolimus Compared to Treating with Best Supportive Care (BSC) Alone in Canada

2011 ◽  
Vol 14 (7) ◽  
pp. A445-A446
Author(s):  
R. Casciano ◽  
M. Chulikavit ◽  
K. El Ouagari ◽  
X. Wang
2007 ◽  
Vol 25 (18_suppl) ◽  
pp. 5111-5111 ◽  
Author(s):  
B. Jaszewski ◽  
X. Gao ◽  
P. Reddy ◽  
T. Bhardwaj ◽  
G. Bjarnason ◽  
...  

5111 Background: Sorafenib is an oral multi-kinase inhibitor that targets tumour cell proliferation and tumour angiogenesis. In the TARGETs study (phase III trial), sorafenib plus best supportive care (BSC) significantly prolonged progression-free survival (PFS) compared with BSC alone (P<0.000001) in patients with advanced renal cell carcinoma (RCC). The objective of this study was to evaluate the costeffectiveness of sorafenib plus BSC versus BSC alone in advanced RCC from a Canadian provincial Ministry of Health perspective. Methods: A Markov model was developed to project the lifetime survival and costs associated with the two treatment groups. The model tracked patients with advanced RCC through three disease states - PFS, progression, and death. Resource utilization included drug, drug administration, physician visits, monitoring, and adverse events. Costs and survival benefits were discounted annually at 5%. Results: The lifetime per patient costs were $62,426 CDN and $18,898 CDN for sorafenib + BSC and BSC alone, respectively. The life-years gained (LYG) were higher for sorafenib relative to BSC. The incremental cost-effectiveness ratio (ICER) of sorafenib plus BSC versus BSC alone over a lifetime horizon was $36,046/LYG CDN (with a half cycle correction). Univariate sensitivity analyses yielded ICERs below $70,000/LYG CDN. Probabilistic sensitivity analyses showed that the results were moderately sensitive to the clinical variables and less sensitive to the cost variables, yielding ICERs below $100,000/LYG CDN in most cases. Conclusion: Sorafenib is cost effective with an ICER of $36,046/LYG CDN which is below the suggested cost effectiveness threshold of $100,000/QALY ($CDN 1992) or $130,860/QALY ($CDN 2006). [Table: see text]


2021 ◽  
Vol 39 (6_suppl) ◽  
pp. 319-319
Author(s):  
Roberta Giorgione ◽  
Daniele Santini ◽  
Marco Stellato ◽  
Umberto Basso ◽  
Davide Bimbatti ◽  
...  

319 Background: Nivolumab is approved in the second or further line of treatment for patients with metastatic renal cell carcinoma (mRCC); cabozantinib is approved in a similar setting of patients. Unfortunately, no evidence is currently available regarding the best treatment option after disease progression to both nivolumab and cabozantinib. The aim of this study is to compare the treatment choices after progression to nivolumab and cabozantinib including patients followed in best supportive care (BSC) or active therapy. Methods: In this retrospective observational study, we selected 42 patients from 8 Italian cancer centers. Enrolled patients had progressed to both nivolumab and cabozantinib and subsequently referred to active treatment or BSC. Primary endpoint of the study was the OS of patients on active treatment versus BSC. Secondary endpoints were ORR, PFS and OS of patients on active treatment who received sorafenib versus everolimus. Results: The median age was 65 years, 76.2% were male. The majority of patients had undergone nephrectomy (78.6%), had clear cell histology (83%) and were at intermediate-poor risk at the diagnosis (85.7%). The most frequent site of metastatic disease in the general population and in patients referred to BSC was the lung (73.8% and 88.9%, respectively). For patients referred to active treatment, the most frequent site of metastasis was bone (70.8%). Sunitinib (71.4%), nivolumab (64.3%), and cabozantinib (54.7%) were the most commonly used drugs in the I, II and III lines of treatment, respectively. After progression to both nivolumab and cabozantinib 42.9% of patients were referred to BSC, while 57.1% received active treatment (28.6% everolimus, 16.7% sorafenib, 4.8% sunitinib, 4.8% IL2-HD, 2.4% lenvatinib + everolimus). Median OS was 13 (95% CI: 4-NR) and 3 months (95% CI: 2-4) in patients on active treatment versus BSC ( p=0.001). Patients treated with sorafenib had better disease control when compared with those treated with everolimus (SD 71.4% versus 16.7%, PD 14.3% versus 58.3%; p=0.03), but no significant advantage in terms of PFS (5 versus 3 months, 95% CI: 2-6 versus 2-5; p= 0.5) and OS (NR versus 13 months, 95% CI: 3-NR versus 2-NR; p=0.2) was observed. Conclusions: After treatment with both nivolumab and cabozantinib, when possible, the choice of an active treatment seems to produce an OS advantage when compared with BSC. However, although sorafenib seems to demonstrate better results, we cannot indicate which is the drug of choice, as no significant advantage was shown in terms of OS or PFS from the comparison between sorafenib and everolimus. The limitations of this study are given by the size of the sample examined and its retrospective nature. Further studies are needed to confirm whether active treatment choice is associated with improved OS.


2018 ◽  
Vol 4 (Supplement 2) ◽  
pp. 71s-71s
Author(s):  
K.A.R. Ku Nurhasni ◽  
J. Sabirin ◽  
S.E. Wan Puteh ◽  
M. Dahlui

Background: Everolimus as second line treatment of metastatic renal cell carcinoma are significantly effective but more expensive compared with best supportive care alone. Therefore, a cost-utility analysis was needed to inform the decision makers on the potential adoption of everolimus as second line treatment of metastatic renal cell carcinoma weighing by the affordability of the healthcare provider. Aim: To estimate the economic value of everolimus as second line treatment of metastatic renal cell carcinoma. Methods: A state transition model was developed using Microsoft Excel 2010 to simulate a hypothetical cohort of patient receiving everolimus or best supportive care over 5 years time horizon. A monthly cycle was used based on the dosing schedule of everolimus. Three health states were included in the model as progression free, disease progression and dead. A discount rate of 3% was applied as recommended in the Pharmacoeconomic Guidelines for Malaysia. The clinical and utility parameters were derived from the published literatures. Total costs were estimated using unit costs from various local sources and published cost data. Results: Based on 1000 Monte Carlo simulation the mean incremental discounted cost and QALY for everolimus were RM 32,605.28 and 0.35484 respectively, yielded a probabilistic incremental cost-effectiveness ratio (ICER) of RM 91,887. A minimal reduction in the value of ICER was observed when costs associated with adverse events were excluded and variation of price per tablet was explored. Conclusion: Everolimus may be considered a cost-effective strategy at the suggested value of cost-effectiveness threshold by World Health Organization (1-3 gross domestic product (GDP) per capita). However, if the suggested cost-effectiveness threshold for Malaysia is taken into consideration (≤ 1 GDP per capita), this treatment may not be a cost-effective strategy in Malaysia.


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