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Aims: To describe: (i) Experiences of older patients with cancer after receiving an intervention based on geriatric assessment with management. (ii) Experiences of cancer nurses in municipal health care from implementing an intervention based on geriatric assessment with management and their perspectives on the intervention.
Design: A qualitative, descriptive interview study reported according to COREQ.
Methods: The sample comprises five men and three women with cancer, mean age 75 years, and 11 female cancer nurses. Data collection was performed as individual patient interviews, and individual and small group interviews with cancer nurses. Inductive, thematic analysis was performed.
Results: Three main themes were generated: Systematic approach, Patient-centeredness and Regular and professional contact.
Patient Or Public Contribution: Participants did not review transcripts, participate in analysis, or review results. This was not deemed appropriate, as all interviews were analysed as a whole. User representatives participated in the planning and conducting of the intervention study and implementation procedures.
Trial Registration: ClinicalTrials.gov Identifier: NCT03881137.
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http://dx.doi.org/10.1002/nop2.70220 | DOI Listing |
Comput Biol Med
September 2025
INSIGNEO Institute for in silico medicine, University of Sheffield, UK; School of Mechanical, Aerospace and Civil Engineering, University of Sheffield, UK. Electronic address:
Modelling cardiovascular disease is at the forefront of efforts to use computational tools to assist in the analysis and forecasting of an individual's state of health. To build trust in such tools, it is crucial to understand how different approaches perform when applied to a nominally identical scenario, both singularly and across a population. To examine such differences, we have studied the flow in aneurysms located on the internal carotid artery and middle cerebral artery using the commercial solver Ansys CFX and the open-source code HemeLB.
View Article and Find Full Text PDFEur J Radiol
September 2025
Department of Radiology, Affiliated Hospital of Hebei University, Baoding 071000, China. Electronic address:
Purpose: The present study aimed to develop a noninvasive predictive framework that integrates clinical data, conventional radiomics, habitat imaging, and deep learning for the preoperative stratification of MGMT gene promoter methylation in glioma.
Materials And Methods: This retrospective study included 410 patients from the University of California, San Francisco, USA, and 102 patients from our hospital. Seven models were constructed using preoperative contrast-enhanced T1-weighted MRI with gadobenate dimeglumine as the contrast agent.
ACS Sens
September 2025
College of Chemistry, Beijing Normal University, Beijing 100875, China.
Dopamine (DA) signaling is essential for neurodevelopment and is particularly sensitive to disruption during adolescence. Protein restriction (PR) can impair DA dynamics, yet mechanistic insights remain limited due to challenges in real-time neurochemical sensing. Here, we present aptCFE, a robust implantable aptamer-based sensor fabricated via a reagent-free, 3 min electrochemical conjugation (E-conjugation) using amine-quinone chemistry.
View Article and Find Full Text PDFInt J Epidemiol
August 2025
Department of Biostatistics and Informatics, University of Colorado, Aurora, CO, United States.
Background: Existing longitudinal cohort study data and associated biospecimen libraries provide abundant opportunities to efficiently examine new hypotheses through retrospective specimen testing. Outcome-dependent sampling (ODS) methods offer a powerful alternative to random sampling when testing all available specimens is not feasible or biospecimen preservation is desired. For repeated binary outcomes, a common ODS approach is to extend the case-control framework to the longitudinal setting.
View Article and Find Full Text PDF