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[This corrects the article DOI: 10.3389/fimmu.2024.
View Article and Find Full Text PDFEvaluation of the effectiveness of GASMAN anesthesia simulation software combined with case-based learning versus traditional lecture-based learning in inhalation anesthesia education.
Front Med (Lausanne)
January 2025
Department of Anesthesiology, The Affiliated Hospital of Guizhou Medical University, Guiyang, Guizhou, China.
Objective: To evaluate the effectiveness of integrating GASMAN anesthesia simulation software with case-based learning (IGC) compared to traditional lecture-based learning (LBL) in teaching inhalation anesthesia to undergraduate anesthesiology students.
Methods: Fourth-year students from two academic years (2022, = 110; 2023, = 131) enrolled in a five-year anesthesiology program were assigned to either traditional lecture-based learning (LBL) or IGC groups. The LBL group received traditional lectures using PowerPoint slides, while the IGC group engaged with GASMAN anesthesia simulation software (a tool designed for anesthesia simulation and gas monitoring) combined with case-based learning.
Beyond the Lung: A Rare Presentation of Tuberculosis in the Tarsometatarsal Joint Treated With Chemotherapy, Surgical Debridement, and Fusion.
Cureus
December 2024
Orthopaedics and Traumatology, District Headquarters Hospital, Cuddalore, IND.
Foot tuberculosis is rarely reported in the literature, with most tuberculosis of the foot being an uncommon manifestation of skeletal tuberculosis. Early diagnosis and timely medical and surgical intervention can significantly reduce morbidity. A 23-year-old male presented with persistent swelling and pain in his right foot for six months, accompanied by a discharging sinus over the affected area in the last week, making weight-bearing increasingly difficult.
View Article and Find Full Text PDFEducation Research: Making a Tweetorial Fly: Features of Educational Social Media Posts Associated With High Sharing and Engagement.
Neurol Educ
December 2024
From the Departments of Neurology and Neurosurgery (C.S.W.A., E.C.L.), Emory University School of Medicine, Atlanta, GA; Division of Biostatistics (T.M.), Rollins School of Public Health, Emory University, Atlanta, GA; Department of Neurology (G.F.P.), University of Pittsburgh, PA; Department of Neurology (A.S.Z.), Weill Cornell Medical College, New York, NY; Emory University School of Medicine (N.D.), Atlanta, GA; Consulting Web Developer (S.M.), Scotland; Department of Neurology (A.S.), Wake Forest University, Winston-Salem, NC; Departments of Neurology and Neurosurgery (N.S.D), Icahn School of Medicine at Mount Sinai, New York, NY; Department of Neurology (A.L.B.), University of California, San Francisco; Department of Neurology (N.A.M.), University of Maryland School of Medicine, Baltimore, MD; and Department of Neurology (L.K.J.), Mayo Clinic, Rochester, MN.
Background And Objectives: Social media platforms such as X (formerly Twitter) are increasingly used in medical education. Characteristics of tweetorials (threaded teaching posts) associated with higher degrees of engagement are unknown. We sought to understand features of neurology-themed tweetorials associated with high sharing and engagement.
View Article and Find Full Text PDFExploring the causal role of plasma metabolites and metabolite ratios in prostate cancer: a two-sample Mendelian randomization study.
Front Mol Biosci
January 2025
Department of Clinical Laboratory, The First People's Hospital of Lianyungang, The Affiliated Lianyungang Hospital of Xuzhou Medical University, The First Affiliated Hospital of Kangda College of Nanjing Medical University, Lianyungang, Jiangsu, China.
Background: Prostate cancer (PCa), the most prevalent malignant neoplasm in males, involves complex biological mechanisms and risk factors, many of which remain unidentified. By employing a novel two-sample Mendelian randomization (MR) approach, this study aims to elucidate the causal relationships between the circulating metabolome and PCa risk, utilizing comprehensive data on genetically determined plasma metabolites and metabolite ratios.
Methods: For the MR analysis, we utilized data from the GWAS Catalog database to analyze 1,091 plasma metabolites and 309 ratios in relation to PCa outcomes within two independent GWAS datasets.
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