title: Cost savings from anemia management with biosimilar epoetin alfa and increased access to targeted antineoplastic treatment: a simulation for the EU G5 countries.
abstract: OBJECTIVE
  We simulated the budget impact of biosimilar erythropoiesis-stimulating agent (ESA) in EU G5 countries.
  
  
  METHODS
  Three models were built to estimate the number of patients who could be provided with antineoplastic therapy with rituximab, bevacizumab or trastuzumab from cost savings of biosimilar erythropoietin use in a hypothetical panel of 100,000 patients. The associated number of patients needed to convert to biosimilar ESA to provide such treatments was also calculated.
  
  
  RESULTS
  Under fixed dosing, the savings from 100% conversion were €110,592,159, translating into an additional 9770 rituximab, 3912 bevacizumab, or 3713 trastuzumab treatments. Under weight-based dosing, the savings from 100% conversion were €146,170,333, corresponding to an additional 12,913 rituximab, 5171 bevacizumab or 4908 trastuzumab treatments. The number of patients needed to convert ranged from four to 51.
  
  
  CONCLUSIONS
  Using biosimilar ESA for supportive cancer care yields significant savings and increases accessibility to primary antineoplastic therapy in a budget neutral way.
authors.affiliation: Center for Health Outcomes & PharmacoEconomic Research, College of Pharmacy, University of Arizona, 1295 N Martin Avenue, Tucson, AZ 85721, USA.
authors.forename: Ivo
authors.initials: I
authors.lastname: Abraham
authors.forename: Lucy
authors.initials: L
authors.lastname: Han
authors.forename: Diana
authors.initials: D
authors.lastname: Sun
authors.forename: Karen
authors.initials: K
authors.lastname: MacDonald
authors.forename: Matti
authors.initials: M
authors.lastname: Aapro
mesh_terms: D000740:Anemia / Q000139:chemically induced / Q000188:drug therapy* / Q000191:economics; D061067:Antibodies, Monoclonal, Humanized / Q000191:economics / Q000627:therapeutic use; D058846:Antibodies, Monoclonal, Murine-Derived / Q000191:economics / Q000627:therapeutic use; D000970:Antineoplastic Agents / Q000009:adverse effects* / Q000191:economics / Q000627:therapeutic use; D000068258:Bevacizumab; D059451:Biosimilar Pharmaceuticals / Q000627:therapeutic use; D016527:Drug Costs; D000068817:Epoetin Alfa; D004921:Erythropoietin / Q000191:economics / Q000627:therapeutic use*; D005062:European Union; D006397:Hematinics / Q000191:economics / Q000627:therapeutic use*; D006801:Humans; D018803:Models, Economic; D009369:Neoplasms / Q000188:drug therapy* / Q000191:economics; D011994:Recombinant Proteins / Q000191:economics / Q000627:therapeutic use; D000069283:Rituximab; D000068878:Trastuzumab
chemical_list: D061067:Antibodies, Monoclonal, Humanized; D058846:Antibodies, Monoclonal, Murine-Derived; D000970:Antineoplastic Agents; D059451:Biosimilar Pharmaceuticals; D006397:Hematinics; D011994:Recombinant Proteins; D004921:Erythropoietin; D000068258:Bevacizumab; D000069283:Rituximab; D000068817:Epoetin Alfa; D000068878:Trastuzumab
keywords: EU; antineoplastic therapy; biosimiar; budgetary impact; cancer; chemotherapy-induced anemia; epoetin alfa; simulation