Download full-text PDF |
Source |
---|---|
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3704489 | PMC |
http://dx.doi.org/10.1370/afm.1551 | DOI Listing |
Curr Opin Crit Care
January 2025
Department of Critical Care Medicine.
Purpose Of Review: Neuroprognostication after acute brain injury (ABI) is complex. In this review, we examine the threats to accurate neuroprognostication, discuss strategies to mitigate the self-fulfilling prophecy, and how to approach the indeterminate prognosis.
Recent Findings: The goal of neuroprognostication is to provide a timely and accurate prediction of a patient's neurologic outcome so treatment can proceed in accordance with a patient's values and preferences.
J Nephrol
January 2025
Department of Medicine, Division of Nephrology, Loma Linda University Medical Center, Loma Linda, CA, USA.
The increasing prevalence of kidney failure highlights the crucial need for effective patient-physician communication to improve health-related quality of life and ensure adherence to treatment plans. This narrative review evaluates communication practices in the context of advanced kidney disease, focusing on the frameworks of shared decision-making, advanced care planning, and communication skills training among nephrologists. The findings highlight the significant gaps in patient-physician communication, particularly in the domains of advanced care planning, shared decision-making, and dialysis withdrawal.
View Article and Find Full Text PDFBiochem Biophys Rep
March 2025
Department of Genetics and Molecular Biology, Faculty of Medicine, Isfahan University of Medical Sciences, Isfahan, Iran.
Introduction: Gastric cancer (GC) is among the deadliest malignancies globally, characterized by hypoxia-driven pathways that promote cancer progression, including stemness mechanisms facilitating invasion and metastasis. This study aimed to develop a prognostic decision tree using genes implicated in hypoxia and stemness pathways to predict outcomes in GC patients.
Materials And Methods: GC RNA-seq data from The Cancer Genome Atlas (TCGA) were analyzed to compute hypoxia and stemness scores using Gene Set Variation Analysis (GSVA) and the mRNA expression-based stemness index (mRNAsi).
MDM Policy Pract
January 2025
Department of Biomedical Signals and Systems, Technical Medical Centre, University of Twente, Enschede, The Netherlands.
Unlabelled: Many breast cancer survivors experience cancer-related fatigue (CRF), and several interventions to treat CRF are available. One way to tailor intervention advice is based on patient preferences. In this study, we explore preference heterogeneity regarding between-attribute and within-attribute preferences.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!