Current pathology practices in and barriers to MDS diagnosis
| Autor: | Patti Merwin, Terry Ann Glauser, Mary M. Sugrue, B. Stephen Burton, J. Chad Williamson, Elizabeth M. Sagatys, Christine Berger, John M. Bennett |
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| Rok vydání: | 2013 |
| Předmět: |
Cancer Research
medicine.medical_specialty Pathology Health Knowledge Attitudes Practice Attitude of Health Personnel Bone marrow aspirate hemic and lymphatic diseases Practice Gaps medicine Humans Pathology Clinical business.industry Myelodysplastic syndromes Data Collection Disease classification Professional Practice Hematology medicine.disease Prognosis Neutropenic patient Review Literature as Topic Oncology International Prognostic Scoring System Myelodysplastic Syndromes Workforce Perception Clinical Competence Guideline Adherence Post treatment Hematopathology business |
| Zdroj: | Leukemia research. 37(12) |
| ISSN: | 1873-5835 |
| Popis: | Myelodysplastic syndromes (MDS) are a heterogeneous group of hematopoietic stem cell malignancies that represent a diagnostic challenge for pathologists. Accurate classification and prognostic scoring are essential to treating MDS. To understand factors that affect MDS management, a case-based survey was distributed to hematopathologists ( n = 53) and general pathologists ( n = 72) to identify perceived barriers, attitudes, and practices in MDS diagnosis. Results demonstrated confidence and practice gaps. Only 33% of general pathologists are confident in diagnosing MDS. Neither general pathologists nor hematopathologists are comfortable using the International Prognostic Scoring System to characterize risk. Thirty percent of general pathologists and 22% of hematopathologists would not include bone marrow aspirate and cytogenetics in initial testing of a neutropenic patient. Most practitioners tested appropriately for disease classification and prognosis; discrepancies were identified in testing to differentiate MDS from acute myeloid leukemia and testing in post treatment specimens. These results have implications in the management of MDS. |
| Databáze: | OpenAIRE |
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