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Hörster, Laura; Schlenk, Richard F.; Stadler, Michael; Gabriel, Maria; Thol, Felicitas; Schildmann, Jan; Vollmann, Jochen; Rochau, Ursula; Sroczynski, Gaby; Wasem, Jürgen; Ganser, Arnold; Port, Matthias; Neumann, Anja (2017): Cost-effectiveness of methods in personalized medicine. Results of a decision-analytic model in patients with acute myeloid leukemia with normal karyotype. In: Leukemia Research, Vol. 62: pp. 84-90
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Abstract

Background: During the last years, molecular genetic data are increasingly used as prognostic and predictive factors in acute myeloid leukemia (AML). The molecular genetic profile permits a rapid risk categorization and beyond that a prediction of differential treatment efficacy of post-remission chemotherapy versus an allogeneic hematopoietic cell transplantation (HCT) in specific subgroups. Methods: The aim of this study was to evaluate cost-effectiveness of two different strategies of risk categorization (conventional cytogenetic diagnostics (CCD) versus molecular genetic diagnostics (MGD)) in patients with AML, using a decision-analytic state-transition model. The model is run as (Monte Carlo) microsimulation in which individuals pass through in cycles with a cycle length of one month and a time horizon of ten years. Findings: Results show that on average, individuals within the MGD group generated about US$ 32,000 higher costs but survived about seven months longer than individuals within the CCD group. This leads to an Incremental Cost-Effectiveness Ratio (ICER) of about US$ 4928 per survived month. Interpretation: With a GDP (Gross Domestic Product) of US$ 26,467 (sic 33,630) per capita in Germany in 2012, the base-case ICER of US$ 4928 per survived month projected to US$ 59,136 per survived year is in between the simple GDP and the three times GDP per capita.