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http://dx.doi.org/10.3760/cma.j.cn112151-20221110-00943 | DOI Listing |
Ethn Health
January 2025
School of Nursing, The University of Texas at Austin, Austin, TX, USA.
Background: Latinx adults experience disparately high rates of chronic diseases and cognitive dysfunction. Participating in cognitive-stimulating activities, such as reading, is thought to improve and preserve cognitive function. However, little is known about cognitively stimulating activities preferred by Latinx adults.
View Article and Find Full Text PDFCochrane Database Syst Rev
January 2025
Department of Psychiatry and Department of Epidemiology and Biostatistics, Western University, St Thomas, Canada.
Background: Generalised anxiety disorder (GAD) is a mental health condition characterised by excessive anxiety and worry about everyday events. GAD is a common disorder and generally affects women twice as often as men. Treatments include various psychological and pharmacological therapies.
View Article and Find Full Text PDFClin Spine Surg
January 2025
Department of Orthopaedic Surgery, Osaka University Graduate School of Medicine.
Study Design: Retrospective cohort study using prospective database.
Objective: This study aimed to establish a risk-scoring system for predicting severe complications after pyogenic spondylodiscitis surgery.
Summary Of Background Data: Pyogenic spondylodiscitis surgery can cause severe complications.
Cochrane Database Syst Rev
January 2025
Department of Health Promotion and Policy, University of Massachusetts, Amherst, MA, USA.
Background: Electronic cigarettes (ECs) are handheld electronic vaping devices that produce an aerosol by heating an e-liquid. People who smoke, healthcare providers, and regulators want to know if ECs can help people quit smoking, and if they are safe to use for this purpose. This is a review update conducted as part of a living systematic review.
View Article and Find Full Text PDFNeurooncol Adv
January 2025
Imaging AI Group, Luxembourg Centre for Systems Biomedicine, University of Luxembourg, Belvaux, Luxembourg.
Background: Publicly available data are essential for the progress of medical image analysis, in particular for crafting machine learning models. Glioma is the most common group of primary brain tumors, and magnetic resonance imaging (MRI) is a widely used modality in their diagnosis and treatment. However, the availability and quality of public datasets for glioma MRI are not well known.
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