Haematological toxicity is considered a secondary end point important for graft evaluation - in today's practice graft evaluation focuses on the primary impact of health economic end points. This report illustrates the benefit of combining CD34 enumeration and demographic as well as disease-related variables in models for individual quality assessment of autografting following high-dose therapy. A total of 24 centres in Scandinavia enrolled 204 patients younger than 67 years who received high-dose therapy with autologous peripheral blood stem cell transplantation. Using the binary Logistic Regression Analysis, the prognostic value of diagnostic demographic variables, therapy and graft-related factors was entered into a multivariate analysis and the final significant models were used to estimate probabilities for acceptable or unacceptable outcome among different patient scenarios. The model that estimated post-transplant efficacy by selected primary end points (time on antibiotics and use of transfusions) includes six independent variables related to sex, age, disease, conditioning, growth factor administration, and graft CD34+ cell number. The model that estimated transplantation-related toxicity by selected secondary end points (time to blood cell recovery) included four independent variables related to age, disease, growth factor administration and graft CD34+ cell number.