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| http://dx.doi.org/10.3389/fnhum.2017.00447 | DOI Listing |
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Exploring the association between pro-inflammatory mediators and sarcopenia in cancer patients through different diagnostic tools: a narrative review.
Ann Transl Med
December 2024
Post-Graduation Department, Faculty of Medical Sciences of Minas Gerais, Belo Horizonte, Brazil.
Background And Objective: Sarcopenia, characterized by the progressive loss of skeletal muscle mass (MM) and muscle function, is a common and debilitating condition in cancer patients, significantly impacting their quality of life, treatment outcomes, and overall survival. The pathophysiology of sarcopenia is multifactorial, involving metabolic, hormonal, and inflammatory changes. Recent research highlights the role of chronic inflammation in the development and progression of sarcopenia, with pro-inflammatory cytokines being key mediators of muscle catabolism.
View Article and Find Full Text PDFCausal language and inferences in observational rotator cuff database studies published from 2013 to 2022.
J Orthop
July 2025
Department of Orthopaedic Surgery, Virginia Commonwealth University, 1250 E. Marshall Street, Richmond, VA, 23219, USA.
Background: The use of large multi-institutional databases in rotator cuff repair (RCR) research is expanding, but these studies are observational and cannot establish causation. This study examines the prevalence of causal language in clinical RCR database studies published from 2013 to 2022.
Methods: Administrative database and clinical registry studies on RCR published in eight orthopaedic journals from 2013 to 2022 were systematically identified and graded by two reviewers for the presence, absence, or inconsistent use of causal language in both the title/abstract and the full text.
An examination of immersive journalism by bibliometric analysis from 1999 to 2023.
Heliyon
July 2024
Faculty of Communication, Department of Public Relations and Publicity, Akdeniz University, Antalya, Turkey.
Immersive journalism is an innovative storytelling approach that aims to enable the audience to experience the event or situation in the news using virtual reality, unlike traditional news narration. In this study, the literature related to the subject was searched using the keywords Immersive Journalism, 360-Degree Video, Narrative journalism, Newsgame, VR Storytelling through the Web of Science database and a data set was created from 955 publications between 1999 and 2023. No filter was applied to the studies in the data set of the study and articles, books, and early access publications as well as book chapters, editorial materials or conference proceedings in the Web of Science database were included in the study.
View Article and Find Full Text PDFCXR-LLaVA: a multimodal large language model for interpreting chest X-ray images.
Eur Radiol
January 2025
Department of Radiology, Seoul National University College of Medicine, Seoul National University Hospital, Seoul, Republic of Korea.
Objective: This study aimed to develop an open-source multimodal large language model (CXR-LLaVA) for interpreting chest X-ray images (CXRs), leveraging recent advances in large language models (LLMs) to potentially replicate the image interpretation skills of human radiologists.
Materials And Methods: For training, we collected 592,580 publicly available CXRs, of which 374,881 had labels for certain radiographic abnormalities (Dataset 1) and 217,699 provided free-text radiology reports (Dataset 2). After pre-training a vision transformer with Dataset 1, we integrated it with an LLM influenced by the LLaVA network.
Bibliometric analysis of laryngeal cancer treatment literature (2003-2023).
Heliyon
January 2025
Department of Otolaryngology Head and Neck Surgery, the Second People's Hospital of Shenzhen, the First Affiliated Hospital of Shenzhen University, Shenzhen, Guangdong Province, 518035, China.
Background: Despite advancements in medical science, the 5-year survival rate for laryngeal squamous cell carcinoma remains low, posing significant challenges in clinical management. This study explores the evolution of key topics and trends in laryngeal cancer research. Bibliometric and knowledge graph analysis are utilized to assess contributions in treating this carcinoma and to forecast emerging research hotspots that may enhance future clinical outcomes.
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