2021
DOI: 10.5489/cuaj.7301
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Optimizing the management of patients with small renal masses in a Canadian context: A Markov decision-analysis model

Abstract: Introduction: The management of patients with a small renal mass (SRM) varies significantly. The objective of this study was to determine which initial management strategy resulted in the greatest quality-adjusted life months (QALM) for an index patient with a SRM. Methods: A Markov decision analysis was used to determine the effect of 1) treating patients with a partial nephrectomy (PN); 2) active surveillance; and 3) renal mass biopsy on QALM over a 10-year horizon. All relevant health states were mode… Show more

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Cited by 2 publications
(1 citation statement)
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“…We developed a state-transition Markov model using TreeAge Pro Suite 2022 (TreeAge Software, Cambridge, Massachusetts) 18 to estimate the direct health system costs and quality adjusted life years (QALYs) of ablation versus partial nephrectomy for patients with unilateral early stage RCCs with tumour size ≤4 cm. The model adopted an Australian healthcare system perspective over a 10-year horizon with a 5% annual discount rate applied for both cost and health outcomes as per Australian guidelines 19 . A discount rate is applied in health economic models with long-term horizons to reflect the present value of future outcomes 20 .…”
Section: Model Designmentioning
confidence: 99%
“…We developed a state-transition Markov model using TreeAge Pro Suite 2022 (TreeAge Software, Cambridge, Massachusetts) 18 to estimate the direct health system costs and quality adjusted life years (QALYs) of ablation versus partial nephrectomy for patients with unilateral early stage RCCs with tumour size ≤4 cm. The model adopted an Australian healthcare system perspective over a 10-year horizon with a 5% annual discount rate applied for both cost and health outcomes as per Australian guidelines 19 . A discount rate is applied in health economic models with long-term horizons to reflect the present value of future outcomes 20 .…”
Section: Model Designmentioning
confidence: 99%