scholarly journals PCH1: PAMIDRONATE FOR BREAST CANCER PATIENTS WITH SKELETAL METASTASES: A MARKOV TREE-BASED COST-UTILITY ANALYSIS

2000 ◽  
Vol 3 (5) ◽  
pp. 350
Author(s):  
NL Liberato ◽  
M Marchetti ◽  
A Tamburlini ◽  
G Barosi
2010 ◽  
Vol 8 (6) ◽  
pp. 242-251 ◽  
Author(s):  
Elenir B.C. Avritscher ◽  
Ya-Chen T. Shih ◽  
Charlotte C. Sun ◽  
Richard J. Gralla ◽  
Steven M. Grunberg ◽  
...  

1999 ◽  
Vol 17 (10) ◽  
pp. 3082-3090 ◽  
Author(s):  
P. P. Leung ◽  
I. F. Tannock ◽  
A. M. Oza ◽  
A. Puodziunas ◽  
G. Dranitsaris

PURPOSE: Paclitaxel, docetaxel, and vinorelbine have been approved for chemotherapy in patients with advanced breast cancer that is resistant to anthracyclines. Selecting which agent to use is difficult because each possesses advantages and disadvantages related to clinical response, toxicity, method of administration, and cost. A cost-utility analysis was therefore performed to create a rank order on the basis of effectiveness, quality of life, and economic considerations. PATIENTS AND METHODS: Eighty-eight anthracycline-resistant breast cancer patients who had received paclitaxel (n = 34), docetaxel (n = 29), or vinorelbine (n = 25) during the past 2 years were identified. Total resource consumption was collected, which included expenditures for chemotherapy, supportive care, laboratory tests, management of adverse effects, and all related physician fees. Utilities from 25 oncology care providers and 25 breast cancer patients were estimated using the time trade-off technique. The economic estimates from the chart review and clinical data from the literature were then modeled using the principles of decision analysis. RESULTS: Each of the three drugs led to a similar duration of quality-adjusted progression-free survival (paclitaxel, 37.2 days; docetaxel, 33.6 days; vinorelbine, 38.0 days). Vinorelbine was the least costly strategy, with an overall treatment expenditure of Can $3,259 per patient, compared with Can $6,039 and Can $10,090 for paclitaxel and docetaxel, respectively. CONCLUSION: Palliative chemotherapy with vinorelbine in anthracycline-resistant metastatic breast cancer patients has economic advantages over the taxanes and provides at least equivalent quality-adjusted progression-free survival. These benefits are largely related to its lower drug acquisition cost and better toxicity profile.


2019 ◽  
Vol 141 ◽  
pp. S43
Author(s):  
T. Tungkasamit ◽  
I. Chaiwiriyabunya ◽  
N. Munpolsri ◽  
K. Kengkla ◽  
S. Saokaew

Author(s):  
Ali Reza Mortezaei ◽  
Marziyeh Rajabi ◽  
Masoumeh Erfani Khanghahi ◽  
Hossein Ameri

Background: It is important to obtain accurate information about the preferences of people for measuring quality-adjusted life years (QALYs), because it is necessary for cost-utility analysis. In this regard, mapping is a method to access this information. Therefore, the purpose of this study was to map Functional Assessment of Cancer Therapy – General (FACT-G) onto Short Form Six Dimension (SF-6D) in breast cancer patients to provide appropriate conditions for a detailed cost-utility analysis. Methods: This descriptive analytical study was conducted on 416 patients with breast cancer. The SF-6D and FACT-G questionnaires were completed for patients selected by consecutive sampling from the Imam Khomeini Cancer Institute in Tehran in 2018. The Ordinary Least Squares model was used to estimate the value of utility and the models' goodness of fit was evaluated using R2. In addition, models' predictive performance was assessed by Mean Absolute Error (MAE), Root Mean Square Error (RMSE), and Minimal Important Difference (MID) conducted between the observed and predicted SF-6D values. Models were validated using a 10-fold cross validation method. Results: Given the criteria of goodness of fit, model 2 was the best (R2 = 41.19 %). Moreover, findings of the predictive performance of models showed that model 2 was the best (MAE = 0.06943, RMSE = 0.09031, and MID = 0.0003). Conclusions: Findings showed that the developed algorithm had a good predictive ability. So, it can enable the policymakers and researchers to convert cancer-specific health-related quality of life instruments to preference-based instruments.


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