
doi: 10.1007/pl00012086
pmid: 11706753
The IPSS scoring system is useful to establish the appropriate treatment plan in MDS. Growth factors may alleviate both anemia and neutropenia in some MDS patients. Serum Epo levels and need for transfusion serve as good predictors of the erythroid response to the combination of Epo and G-CSF. Subgroups of MDS patients may respond favorably to immunosuppressive therapies such as CyA and ATG. Low-dose chemotherapy may also improve peripheral blood counts. Platelet counts, bone marrow cellularity, chromosome aberrations, and ringed sideroblasts combine to create a model predicting the response to low-dose ara-C. High-dose chemotherapy may lead to complete remission in about half of MDS patients, but the duration of remission is often short. The only proven curative therapy for MDS is allogeneic stem cell transplantation, resulting in an overall disease-free survival rate of about 40%. Only a minority of patients, however, can undergo allogeneic transplantation, both because of patient age and the availability of suitable donors. Autologous stem cell transplantation may be an option for selected patients who are unable to find allogeneic donors. Because the clinical features of patients with MDS are quite heterogeneous, the development of more accurate predictive models may be necessary to improve the efficacy of treatment.
Hematopoietic Stem Cell Transplantation, Prognosis, Patient Care Planning, Risk Factors, Karyotyping, Myelodysplastic Syndromes, Antineoplastic Combined Chemotherapy Protocols, Granulocyte Colony-Stimulating Factor, Humans, Growth Substances, Immunosuppressive Agents, Neoplasm Staging
Hematopoietic Stem Cell Transplantation, Prognosis, Patient Care Planning, Risk Factors, Karyotyping, Myelodysplastic Syndromes, Antineoplastic Combined Chemotherapy Protocols, Granulocyte Colony-Stimulating Factor, Humans, Growth Substances, Immunosuppressive Agents, Neoplasm Staging
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 2 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
