Earlier corticosteroid use for adverse event management in patients receiving axicabtagene ciloleucel for large B-cell lymphoma. [PDF]
Topp MS+21 more
europepmc +1 more source
Policy-Controlled Event Management for Distributed Intrusion Detection [PDF]
Christian Kreibich, Robin Sommer
openalex +1 more source
CSF Biomarker‐Based Cognitive Trajectories in Parkinson's Disease‐Subjective Cognitive Decline
ABSTRACT Objective Cognitive complaints without objective cognitive impairment in Parkinson's Disease, termed Parkinson's Disease‐Subjective Cognitive Decline (PD‐SCD), have been associated with cognitive decline. However, its progression is heterogeneous, highlighting the need for improved identification of patients at greater risk for deterioration ...
Jon Rodriguez‐Antiguedad+7 more
wiley +1 more source
Olaparib tolerability and common adverse-event management in patients with metastatic castration-resistant prostate cancer: Further analyses from the PROfound study. [PDF]
Roubaud G+22 more
europepmc +1 more source
Coffee Consumption Is Associated With Later Age‐at‐Onset of Parkinson's Disease
ABSTRACT Observation studies suggest that coffee consumption may lower the risk and delay the age‐at‐onset (AAO) of Parkinson's disease (PD). The aim of this study was to explore the causal relationship and genetic association between coffee consumption and the AAO, risk, and progression of PD. Using Mendelian randomization, we identified a significant
Dariia Kuzovenkova+3 more
wiley +1 more source
Electronic patient-reported outcome (e-PRO) monitoring for adverse event management during cabozantinib treatment in patients with advanced renal cell carcinoma: protocol for a three-arm, randomised, multicentre phase II trial (e-PRO vs paper-PRO or usual care). [PDF]
Osawa T+8 more
europepmc +1 more source
Utility of Fear Severity and Individual Resilience Scoring as a Surge Capacity, Triage Management Tool during Large-Scale, Bio-Event Disasters [PDF]
H. Stefan Bracha, Frederick M. Burkle
openalex +1 more source
Precision‐Optimised Post‐Stroke Prognoses
ABSTRACT Background Current medicine cannot confidently predict who will recover from post‐stroke impairments. Researchers have sought to bridge this gap by treating the post‐stroke prognostic problem as a machine learning problem, reporting prediction error metrics across samples of patients whose outcomes are known.
Thomas M. H. Hope+4 more
wiley +1 more source
Cost comparison of adverse event management among breast and ovarian cancer patients treated with poly (ADP-ribose) polymerase inhibitors: analysis based on phase 3 clinical trials. [PDF]
Fan L+7 more
europepmc +1 more source