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Real-world effectiveness and safety of sodium-glucose co-transporter 2 inhibitors in chronic kidney disease.
Sci Rep
January 2025
Department of Clinical Epidemiology and Biostatistics, Faculty of Medicine Ramathibodi Hospital, Mahidol University, Bangkok, Thailand.
Article Synopsis
- SGLT2 inhibitors (SGLT2i) show promise in slowing chronic kidney disease (CKD) progression but lack extensive real-world data in diverse populations.
- This study analyzed data from nearly 7,000 CKD patients (stages 2-4) treated with either SGLT2i or RAAS blockers to evaluate effectiveness and safety.
- Results indicated that SGLT2i therapy was linked to a significantly lower risk of severe kidney-related events and CKD progression, with similar adverse event rates and fewer urinary tract infections compared to RAAS treatment.
User preference interaction fusion and swap attention graph neural network for recommender system.
Neural Netw
January 2025
School of Computer and Control Engineering, Yantai University, YanTai, 264005, China. Electronic address:
Recommender systems are widely used in various applications. Knowledge graphs are increasingly used to improve recommendation performance by extracting valuable information from user-item interactions. However, current methods do not effectively use fine-grained information within the knowledge graph.
View Article and Find Full Text PDFCASE (CemiplimAb-rwlc Survivorship and Epidemiology): a study in advanced basal cell carcinoma.
Future Oncol
January 2025
Department of Cutaneous Oncology, Moffitt Cancer Center, Tampa, FL, USA.
Patients diagnosed with metastatic basal cell carcinoma (BCC) have a poor prognosis. The current standard of care for adults with locally advanced or metastatic BCC who are not candidates for surgery or radiation therapy is treatment with hedgehog pathway inhibitors (HHIs). For patients who progress while on this therapy, further treatment options are limited.
View Article and Find Full Text PDFRetrospective observational cohort study of premature neonates screened for ROP with 7 years of follow-up assessing the visual outcomes and adequacy of preschool visual screening.
BMJ Open Ophthalmol
December 2024
Ophthalmology, Royal Hospital for Children, Glasgow, UK.
Background: Very premature infants screened for retinopathy of prematurity (ROP) that do not develop ROP still experience serious visual developmental challenges, and while it is recommended that all children in the UK are offered preschool visual screening, we aimed to explore whether this vulnerable group requires dedicated follow-up.
Methods: We performed a real-world retrospective observational cohort study of children previously screened for ROP in NHS Greater Glasgow and Clyde (Scotland) between 2013 and 2015. We excluded those with any severity of ROP identified during screening.
Advanced Brain Tumor Classification in MR Images Using Transfer Learning and Pre-Trained Deep CNN Models.
Cancers (Basel)
January 2025
Department of Computer Science, Faculty of Information Technology and Electrical Engineering, Norwegian University of Science and Technology, 2815 Gjøvik, Norway.
Background/objectives: Brain tumor classification is a crucial task in medical diagnostics, as early and accurate detection can significantly improve patient outcomes. This study investigates the effectiveness of pre-trained deep learning models in classifying brain MRI images into four categories: Glioma, Meningioma, Pituitary, and No Tumor, aiming to enhance the diagnostic process through automation.
Methods: A publicly available Brain Tumor MRI dataset containing 7023 images was used in this research.
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