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Genetic predisposition of metabolic dysfunction-associated steatotic liver disease: a population-based genome-wide association study.
Hepatol Int
January 2025
Division of Gastroenterology and Hepatology, Department of Internal Medicine, National Taiwan University Hospital, Taipei, Taiwan.
Background/purpose: Although metabolic dysfunction-associated steatotic liver disease (MASLD) has been proposed to replace the diagnosis of non-alcoholic fatty liver disease (NAFLD) with new diagnostic criteria since 2023, the genetic predisposition of MASLD remains to be explored.
Methods: Participants with data of genome-wide association studies (GWAS) in the Taiwan Biobank database were collected. Patients with missing data, positive for HBsAg, anti-HCV, and alcohol drinking history were excluded.
The sarcoma ring trial: a case-based analysis of inter-center agreement across 21 German-speaking sarcoma centers.
J Cancer Res Clin Oncol
January 2025
Sarcoma Unit, Department of Surgery, University Medical Center and Medical Faculty Mannheim, University of Heidelberg, Mannheim, Germany.
Purpose: The management of soft tissue sarcoma (STS) at reference centers with specialized multidisciplinary tumor boards (MTB) improves patient survival. The German Cancer Society (DKG) certifies sarcoma centers in German-speaking countries, promoting high standards of care. This study investigated the variability in treatment recommendations for localized STS across different German-speaking tertiary sarcoma centers.
View Article and Find Full Text PDFInflammatory markers predict efficacy of immunotherapy in advanced non-small cell lung cancer: a preliminary exploratory study.
Discov Oncol
January 2025
Department of Respiratory Medicine, The First Hospital of Jiaxing (Affiliated Hospital of Jiaxing University), 1882 South Zhonghuan Road, Jiaxing, 314000, Zhejiang, China.
Objective: The purpose of this study is to analyze the predictive value of neutrophil to lymphocyte ratio (NLR), lymphocyte count to monocyte count ratio (LMR), platelet to lymphocyte ratio (PLR), platelet count multiplied by neutrophil count to lymphocyte count ratio (SII), red blood cell distribution width (RDW), packed cell volume (PCV), and plateletcrit (PCT) levels in advanced non-small cell lung cancer (NSCLC) patients treated with PD-1/PD-L1 inhibitors.
Materials And Methods: From March 2019 to August 2023, we screened 104 of 153 patients with stage III unresectable local advanced NSCLC and IV NSCLC who received PD-1/PD-L1 inhibitor therapy at our hospital and met the inclusion and exclusion criteria for analysis. All patients were collected for clinical information, including baseline blood indicator (NLR, PLR, LMR, SII, CRP, RDW, PCV and PCT) levels before PD-1/PD-L1 inhibitor therapy and blood indicator levels and imaging evaluation results every two cycles after PD-1/PD-L1 inhibitor therapy.
Machine learning-based interpretation of non-contrast feature tracking strain analysis and T1/T2 mapping for assessing myocardial viability.
Sci Rep
January 2025
Cardiovascular Research Center, Rajaie Cardiovascular, Medical, and Research Center, University of Medical Sciences, Tehran, Iran.
Assessing myocardial viability is crucial for managing ischemic heart disease. While late gadolinium enhancement (LGE) cardiovascular magnetic resonance (CMR) is the gold standard for viability evaluation, it has limitations, including contraindications in patients with renal dysfunction and lengthy scan times. This study investigates the potential of non-contrast CMR techniques-feature tracking strain analysis and T1/T2 mapping-combined with machine learning (ML) models, as an alternative to LGE-CMR for myocardial viability assessment.
View Article and Find Full Text PDFDevelopment and validation of a new nomogram for self-reported OA based on machine learning: a cross-sectional study.
Sci Rep
January 2025
Department of Rheumatology and Immunology, The First Affiliated Hospital of Shantou University Medical College, Shantou, 515041, China.
Developing a new diagnostic prediction model for osteoarthritis (OA) to assess the likelihood of individuals developing OA is crucial for the timely identification of potential populations of OA. This allows for further diagnosis and intervention, which is significant for improving patient prognosis. Based on the NHANES for the periods of 2011-2012, 2013-2014, and 2015-2016, the study involved 11,366 participants, of whom 1,434 reported a diagnosis of OA.
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