5 Einträge gefunden

1. Upfront stem cell transplantation for newly diagnosed multiple myeloma with del(17p) and t(4;14): a study from the CMWP-EBMT

   1. Gagelmann, Nico
   2. Eikema, Diderik-Jan
   3. de Wreede, Liesbeth C
   4. Rambaldi, Alessandro
   5. Iacobelli, Simona
   6. Koster, Linda
   7. Caillot, Denis

   2021 - Forschungsinformationssystem des UKE
2. Tandem Autologous Stem Cell Transplantation Improves Outcomes in Newly Diagnosed Multiple Myeloma with Extramedullary Disease and High-Risk Cytogenetics: A Study from the Chronic Malignancies Working Party of the European Society for Blood and Marrow Transplantation

   1. Gagelmann, Nico
   2. Eikema, Diderik-Jan
   3. Koster, Linda
   4. Caillot, Denis
   5. Pioltelli, Pietro
   6. Lleonart, Juan Bargay
   7. Reményi, Péter

   2019 - Forschungsinformationssystem des UKE
3. Comparison of Dynamic International Prognostic Scoring System and MYelofibrosis SECondary to PV and ET Prognostic Model for Prediction of Outcome in Polycythemia Vera and Essential Thrombocythemia Myelofibrosis after Allogeneic Stem Cell Transplantation

   1. Gagelmann, Nico
   2. Eikema, Diderik-Jan
   3. de Wreede, Liesbeth C
   4. Koster, Linda
   5. Wolschke, Christine
   6. Arnold, Renate
   7. Kanz, Lothar

   2019 - Forschungsinformationssystem des UKE
4. Optimized EBMT transplant-specific risk score in myelodysplastic syndromes after allogeneic stem-cell transplantation

   1. Gagelmann, Nico
   2. Eikema, Diderik-Jan
   3. Stelljes, Matthias
   4. Beelen, Dietrich
   5. de Wreede, Liesbeth
   6. Mufti, Ghulam
   7. Knelange, Nina Simone

   2019 - Forschungsinformationssystem des UKE - frei zugänglich
5. Impact of extramedullary disease in patients with newly diagnosed multiple myeloma undergoing autologous stem cell transplantation: A study from the Chronic Malignancies Working Party of the EBMT

   1. Gagelmann, Nico
   2. Eikema, Diderik-Jan
   3. Iacobelli, Simona
   4. Koster, Linda
   5. Nahi, Hareth
   6. Stoppa, Anne-Marie
   7. Masszi, Tamás

   2018 - Forschungsinformationssystem des UKE - frei zugänglich