Results 121 to 130 of about 7,544,041 (411)

Implementing system-wide risk stratification approaches: a review of critical success and failure factors [PDF]

open access: yes, 2005
An Evidence Check rapid review brokered by the Sax Institute for the NSW Agency for Clinical ...
Andrew Wilson, Adam Elshaug   +1 more
core  

Economic evaluation of a community-based diagnostic pathway to stratify adults for non-alcoholic fatty liver disease: a Markov model informed by a feasibility study [PDF]

open access: yes, 2017
Objectives: To assess the long-term cost-effectiveness of a risk stratification pathway, compared with standard care, for detecting non-alcoholic fatty liver disease (NAFLD) in primary care.
Aithal, Guruprasad P.   +8 more
core   +2 more sources

Acute myeloid leukemia: 2021 update on risk‐stratification and management

open access: yesAmerican journal of hematology/oncology, 2020
Management of AML involves choosing between purely palliative care, standard therapy and investigational therapy (“clinical trial”). Even most older patients likely benefit from treatment.
E. Estey
semanticscholar   +1 more source

Polyfunctional CD8+CD226+RUNX2hi effector T cells are diminished in advanced stages of chronic lymphocytic leukemia

open access: yesMolecular Oncology, EarlyView.
CD226+CD8+ T cells express elevated levels of RUNX2, exhibit higher proliferation capacity, cytokines and cytolytic molecules expression, and migratory capacity. In contrast, CD226−CD8+ T cells display an exhausted phenotype associated with the increased expression of co‐inhibitory receptors and impaired effector functions.
Maryam Rezaeifar   +4 more
wiley   +1 more source

The Risk Distribution Curve and its Derivatives [PDF]

open access: yesarXiv, 2009
Risk stratification is most directly and informatively summarized as a risk distribution curve. From this curve the ROC curve, predictiveness curve, and other curves depicting risk stratification can be derived, demonstrating that they present similar information.
arxiv  

Hodgkin lymphoma: A 2020 update on diagnosis, risk‐stratification, and management

open access: yesAmerican journal of hematology/oncology, 2020
Hodgkin lymphoma (HL) is an uncommon B‐cell lymphoid malignancy affecting 8480 new patients annually and representing approximately 10% of all lymphomas in the United States.
S. Ansell
semanticscholar   +1 more source

Cell‐free DNA aneuploidy score as a dynamic early response marker in prostate cancer

open access: yesMolecular Oncology, EarlyView.
mFast‐SeqS‐based genome‐wide aneuploidy scores are concordant with aneuploidy scores obtained by whole genome sequencing from tumor tissue and can predict response to ARSI treatment at baseline and, at an early time point, to ARSI and taxanes. This assay can be easily performed at low cost and requires little input of cfDNA. Cell‐free circulating tumor
Khrystany T. Isebia   +17 more
wiley   +1 more source

Prognostic analysis according to European LeukemiaNet 2022 risk stratification for elderly patients with acute myeloid leukemia treated with decitabine

open access: yesHematology
Objectives This study aimed to evaluate the prognostic significance of the revised European LeukemiaNet (ELN)−2022 risk stratification model for 123 elderly acute myeloid leukemia (AML) patients treated with decitabine chemotherapy.Results Based on the ...
Mihee Kim   +12 more
doaj   +1 more source

Validation and application of the 2019 International Working Group on the Diabetic Foot risk stratification for diabetic foot in Chinese patients

open access: yesJournal of Diabetes Investigation, 2023
Aims/Introduction The purpose of the present study was to evaluate the validation and application of the 2019 International Working Group on the Diabetic Foot (IWGDF) risk stratification system among Chinese patients with diabetes.
Xiling Hu   +3 more
doaj   +1 more source

Risk-Stratify: Confident Stratification Of Patients Based On Risk [PDF]

open access: yesarXiv, 2018
A clinician desires to use a risk-stratification method that achieves confident risk-stratification - the risk estimates of the different patients reflect the true risks with a high probability. This allows him/her to use these risks to make accurate predictions about prognosis and decisions about screening, treatments for the current patient.
arxiv  

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