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A Novel Approach to the Management of an Intra-abdominal Abscess: A Case Report and Literature Review.
Cureus
January 2025
Department of Surgery, Harlem Hospital/Columbia University, New York, USA.
Exploratory laparotomies for blunt or penetrating trauma often result in significant morbidity. Despite advancements in resuscitation, surgical techniques, and antibiotics, intra-abdominal abscesses remain a serious complication, contributing to poor outcomes and extended hospital stays. Percutaneous computed tomography-guided drainage is the standard treatment for abscesses, offering high success rates and low morbidity.
View Article and Find Full Text PDFAddressing Sleep Disorders in Psychiatry: Comparing the Use of Melatonin, Trazodone, and Doxepin.
Cureus
December 2024
Department of Family Medicine, Holy Family Hospital, Rawalpindi, PAK.
Introduction Sleep disorders are prevalent among psychiatric patients, and pharmacological treatments such as melatonin, trazodone, and doxepin are commonly prescribed. This study aimed to assess the efficacy and acceptability of these three medications in improving sleep quality and reducing daytime drowsiness in psychiatric patients. Methodology A total of 175 psychiatric patients with sleep disturbances participated in this cohort study at the Abbas Institute of Medical Sciences, Muzaffarabad, Pakistan.
View Article and Find Full Text PDFSuccessful Percutaneous Coronary Stenting in End-Stage Liver Disease Patients Awaiting Liver Transplantation.
Cureus
December 2024
Medicine/Cardiology, Rutgers University New Jersey Medical School, Newark, USA.
Coronary artery disease (CAD) is associated with poor outcomes after orthotopic liver transplantation (OLT). We report on six high-risk end-stage liver disease (ESLD) patients who underwent percutaneous coronary intervention (PCI) with bare metal stents during the preoperative evaluation process. There was no mortality or major adverse cardiac event (MACE) within 90 days of OLT.
View Article and Find Full Text PDFUnderstanding trends in osteoporosis drug prescribing: implications for reducing futile biomedical research.
Front Med (Lausanne)
January 2025
Department of Global Health and Social Medicine, Institute of Gerontology, Faculty of Social Science and Public Policy, King's College London, London, United Kingdom.
Introduction: Osteoporosis is a significant geriatric condition, considering its impact on fracture-related morbidity and mortality, particularly among older women. The interplay of clinical evidence, diagnostic tools availability, and broader societal attitudes toward aging and treatment efficacy affect medical attitude and prescribing behaviors. Using the example of osteoporosis in France and England, the study aims to unravel the intricacies of medical decision-making in geriatric care, offering insights into the evolving landscape of healthcare policy and practice, which in turn can help reduce futile biomedical research.
View Article and Find Full Text PDFGuidelines International Network: Principles for Use of Artificial Intelligence in the Health Guideline Enterprise.
Ann Intern Med
January 2025
Clinical Epidemiology and Research Center (CERC), Department of Biomedical Sciences, Humanitas University, and IRCCS Humanitas Research Hospital, Milan, Italy, and Fraunhofer Institute for Translational Medicine and Pharmacology ITMP, Allergology and Immunology, Berlin, Germany (H.J.S.).
Description: Artificial intelligence (AI) has been defined by the High-Level Expert Group on AI of the European Commission as "systems that display intelligent behaviour by analysing their environment and taking actions-with some degree of autonomy-to achieve specific goals." Artificial intelligence has the potential to support guideline planning, development and adaptation, reporting, implementation, impact evaluation, certification, and appraisal of recommendations, which we will refer to as "guideline enterprise." Considering this potential, as well as the lack of guidance for the use of AI in guidelines, the Guidelines International Network (GIN) proposes a set of principles for the development and use of AI tools or processes to support the health guideline enterprise.
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