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- Article] A decision-analytic model for early stage breast cancer: Lumpectomy vs mastectomy
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DocNo of ILP: 3987
Doc. Type: Article
Title: A decision-analytic model for early stage breast cancer: Lumpectomy vs mastectomy
Authors: Alogan, GB; Elele, T; Hayran, M; Erman, M; Kilickap, S
Full Name of Authors: Alogan, G. Bueyuekdamgaci; Elele, T.; Hayran, M.; Erman, M.; Kilickap, S.
Keywords by Author: Breast Cancer; Decision Analysis; Markov Chain; Quality of Life; Health Outcome Measurement; Utility
Keywords Plus: QUALITY-OF-LIFE; CONSERVING TREATMENT; RADICAL-MASTECTOMY; RADIATION-THERAPY; SURGERY; PREFERENCES; CHOICE; WOMEN
Abstract: The purpose was to construct a decision model that incorporated patient preferences over differing health state prospects and to analyze the decision context of early stage breast cancer patients in relation to two main surgical treatment options. A Markov chain was constructed to project the clinical history of breast carcinoma following surgery. A Multi Attribute Utility Model was developed for outcome evaluation. Transition probabilities were obtained by using subjective probability assessment. This study was performed on the sample population of female university students and utilities were elicited from these healthy volunteers. The results were validated by using Standard Gamble technique. Finally, Monte Carlo Simulation was utilized in Treeage-Pro 2006-Suit software program in order to calculate expected utility generated by each treatment option. The results showed that, if the subject had mastectomy, mean value for the quality adjusted life years gained was 6.42; on the other hand, if the preference was lumpectomy, it was 7.00 out of a possible 10 years. Sensitivity analysis on transition probabilities to local recurrence and salvaged states was performed and two threshold values were observed. Additionally, sensitivity analysis on utilities showed that the model was more sensitive to no evidence of disease state; however, was not sensitive to utilities of local recurrence and salvaged states. The decision model was developed with reasonable success for early stage breast cancer patients, and tested by using general public data. The results obtained from these data showed that lumpectomy was more favourable for these participants.
Cate of OECD: Clinical medicine
Year of Publication: 2008
Business Area: other
Detail Business: medicine & science
Country: Brazil
Study Area: culture, quality of life, utility, utility, modelingsimulationMonte Carlo, modeling, simulation, Monte Carlo, student, female, response, cancer
Name of Journal: NEOPLASMA
Language: English
Country of Authors: [Erman, M.; Kilickap, S.] Hacettepe Univ, Inst Oncol, Dept Med Oncol, TR-06100 Ankara, Turkey; [Alogan, G. Bueyuekdamgaci] Sci & Technol Res Council Turkey, TR-06100 Ankara, Turkey; [Alogan, G. Bueyuekdamgaci; Elele, T.] Middle E Tech Univ, Dept Ind Engn, TR-06100 Ankara, Turkey; [Hayran, M.; Erman, M.] Hacettepe Univ, Inst Oncol, Dept Prevent Oncol, TR-06100 Ankara, Turkey
Press Adress: Kilickap, S (reprint author), Hacettepe Univ, Inst Oncol, Dept Med Oncol, TR-06100 Ankara, Turkey.
Email Address: skilickap@yahoo.com
Citaion:
Funding:
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Number of Citaion: 33
Publication: VEDA, SLOVAK ACAD SCIENCES
City of Publication: BRASTISLAVA
Address of Publication: DUBRAVSKA CESTA 9, 842 34 BRASTISLAVA, SLOVAKIA
ISSN: 0028-2685
29-Character Source Abbreviation: NEOPLASMA
ISO Source Abbreviation: Neoplasma
Volume: 55
Version: 3
Start of File: 222
End of File: 228
DOI:
Number of Pages: 7
Web of Science Category: Oncology
Subject Category: Oncology
Document Delivery Number: 368BU
Unique Article Identifier: WOS:000260597100008
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