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Prognostic models in the myeloproliferative neoplasms
Blood Reviews, 2020The management of myelofibrosis (MF) is predominantly supportive, with the use of JAK2 inhibitors or allogeneic stem cell transplantation reserved for patients predicted to have poor overall survival. Identification of these patients is aided by a number of prognostic scoring systems, foremost among them the Dynamic International Prognostic Scoring ...
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Prognostic models in primary biliary cholangitis
Journal of Autoimmunity, 2018Risk prediction modelling is important to better understand the determinants of the course and outcome of PBC and to inform the risk across the disease continuum in PBC enabling risk-stratified follow-up care and personalised therapy. Current prognostic models in PBC are based on treatment response to ursodeoxycholic acid because of the well ...
Cristoferi L. +5 more
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Improving Prognostic Modeling in Myelodysplastic Syndromes
Current Hematologic Malignancy Reports, 2016Myelodysplastic syndromes (MDSs) are a heterogeneous group of disorders characterized by the accumulation of complex genetic alterations that drive disease pathogenesis and outcome. Several prognostic models have been developed over the last two decades to risk stratify patients with MDS.
Aziz, Nazha, Mikkael A, Sekeres
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Prognostic models in melanoma.
Seminars in oncology, 1997Predicting which patients with primary melanoma are at risk of developing metastastic disease is important for making rational therapeutic decisions. Tumor thickness alone is the most commonly used predictor of survival, but other clinical and pathologic variables also play an important role.
A C, Halpern, L M, Schuchter
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Prognostic Model Evaluation Metrics
2023 IEEE Aerospace Conference, 2023Shashvat Prakash +2 more
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Antibody–drug conjugates: Smart chemotherapy delivery across tumor histologies
Ca-A Cancer Journal for Clinicians, 2022Paolo Tarantino +2 more
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