These abstracts from the American Society of Hematology’s 2017 annual meeting caught our attention for their potential impact on clinical practice and research in the field.
Dr. Navneet Majhail discusses the randomized, multicenter study that evaluated the impact of survivorship care plans on survivor’s knowledge of survivorship information and amount of treatment distress.
Novel findings from a study of the PARP inhibitor olaparib are pointing to a new therapeutic strategy in the battle against acute myeloid leukemia, an extremely aggressive malignancy that commonly affects older adults and carries a grim prognosis.
Dr. Brian Hill discusses the one-year follow-up data of the ZUMA-1 trial to confirm anti-CD19 CAR T cell therapy’s stability of response.
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As part of efforts to reduce 30-day unplanned readmissions, Cleveland Clinic has instituted five-day follow-up for all cancer patients discharged after hospitalization.
The inability to return to work, frequent physician visits, loss of insurance and need for multiple medications and treatments specific for cGVHD were associated with financial burden.
This multicenter study shows that even with the relatively favorable outcomes of non-transplanted patients with mantle cell lymphoma in the modern era, the use of consolidation autologous stem cell transplant appears to further-improve progression-free and overall survival.
A review of trials examining several new approaches, including agents that inhibit various points in the Janus kinase and other pathways that underlie the condition, as well as potential concomitant agents that can help minimize anemia and/or thrombocytopenia to enable more effective dosing of primary treatments.
Cleveland Clinic researchers recently found higher costs and death rates among cancer patients who go to the emergency department due to venous thromboembolism. They recommend prevention and/or early detection.
Cleveland Clinic physicians created a new system that incorporates individual patient genomic and clinical data and uses a machine-learning algorithm to better predict an individual patient’s outcome.