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Nurses' knowledge and its determinants in surgical site infection prevention: A comprehensive systematic review and meta-analysis.
PLoS One
January 2025
Department of Nursing, College of Health Sciences, Injibara University, Injibara, Ethiopia.
Objective: The objective of this systematic review and meta-analysis is to assess and synthesize the global evidence on the level of nurses' knowledge and its determinants regarding the prevention of surgical site infections.
Methods: This systematic review and meta-analysis were conducted following strict methodological guidelines to ensure accuracy and reliability. Adhering to the 2020 PRISMA checklist, a systematic review and meta-analysis sought to establish the pooled proportion of nurse's knowledge and its determinants regarding surgical site infection prevention globally.
Urgency Prediction for Medical Laboratory Tests Through Optimal Sparse Decision Tree: Case Study With Echocardiograms.
JMIR AI
January 2025
Department of Information Systems and Business Analytics, Iowa State University, Ames, IA, United States.
Background: In the contemporary realm of health care, laboratory tests stand as cornerstone components, driving the advancement of precision medicine. These tests offer intricate insights into a variety of medical conditions, thereby facilitating diagnosis, prognosis, and treatments. However, the accessibility of certain tests is hindered by factors such as high costs, a shortage of specialized personnel, or geographic disparities, posing obstacles to achieving equitable health care.
View Article and Find Full Text PDFBlastic plasmacytoid dendritic cell neoplasm: a Swiss case series of a very rare disease and a structured review of the literature.
Swiss Med Wkly
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Department of Internal Medicine, Clinic for Medical Oncology and Hematology, Municipal Hospital Zurich Triemli, Zurich, Switzerland.
Introduction: Blastic plasmacytoid dendritic cell neoplasm (BPDCN) is a very rare disease, with unique diagnostic challenges and often dismal outcome. There are no widely accepted treatment guidelines available. Lymphoma-like regimens with or without autologous or allogenic transplantation were the cornerstone of most therapeutic concepts.
View Article and Find Full Text PDFOptimizing Point-in-Space Continuous Monitoring System Sensor Placement on Oil and Gas Sites.
ACS Sustain Resour Manag
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Department of Applied Mathematics and Statistics, Colorado School of Mines, Golden, Colorado 80401, United States.
We propose a generic, modular framework to optimize the placement of point-in-space continuous monitoring system sensors on oil and gas sites aiming to maximize the methane emission detection efficiency. Our proposed framework substantially expands the problem scale compared to previous related studies and can be adapted for different objectives in sensor placement. This optimization framework is comprised of five steps: (1) simulate emission scenarios using site-specific wind and emission information; (2) set possible sensor locations under consideration of the site layout and any site-specific constraints; (3) simulate methane concentrations for each pair of emission scenario and possible sensor location; (4) determine emissions detection based on the site-specific simulated concentrations; and (5) select the best subset of sensor locations, under a given number of sensors to place, using genetic algorithms combined with Pareto optimization.
View Article and Find Full Text PDFSecond-line treatment patterns and outcomes in advanced HCC after progression on atezolizumab/bevacizumab.
JHEP Rep
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Division of Hematology/Oncology, Department of Medicine, Tisch Cancer Institute, Mount Sinai Hospital, New York, NY, USA.
Background & Aims: Atezolizumab/bevacizumab (A/B) is now a standard first-line treatment for advanced hepatocellular carcinoma (HCC), but the optimal second-line regimen is not known. We evaluated real-world treatment patterns and outcomes to investigate factors associated with post-progression survival (PPS).
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