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Causal Relationship Between Autoimmune Rheumatic Diseases and Iridocyclitis: A Bidirectional Two-Sample Mendelian Randomization Study.
Ocul Immunol Inflamm
January 2025
Department of Neurology & Stroke, University of Tübingen, Tübingen, Germany.
Purpose: This study aims to explore the relationship between autoimmune rheumatic diseases (ARDs) and the risk of iridocyclitis (IC) using Mendelian randomization (MR) analysis.
Methods: Data of ankylosing spondylitis (AS), systemic lupus erythematosus (SLE), juvenile idiopathic arthritis (JIA), Behcet's disease (BD), and iridocyclitis were obtained from genome-wide association studies with large sample sizes. The instrumental variable utilized in this study for each exposure was the single nucleotide polymorphism.
Integrating RNA-seq and scRNA-seq to explore the prognostic features and immune landscape of exosome-related genes in breast cancer metastasis.
Ann Med
December 2025
Department of Neurosurgery, The Affiliated Hospital of Guizhou Medical University, Guiyang, Guizhou, PR China.
Objective: This study aims to explore the role of exosome-related genes in breast cancer (BRCA) metastasis by integrating RNA-seq and single-cell RNA-seq (scRNA-seq) data from BRCA samples and to develop a reliable prognostic model.
Methods: Initially, a comprehensive analysis was conducted on exosome-related genes from the BRCA cohort in The Cancer Genome Atlas (TCGA) database. Three prognostic genes (JUP, CAPZA1 and ARVCF) were identified through univariate Cox regression and Lasso-Cox regression analyses, and a metastasis-related risk score model was established based on these genes.
Noninvasive Anemia Detection and Hemoglobin Estimation from Retinal Images Using Deep Learning: A Scalable Solution for Resource-Limited Settings.
Transl Vis Sci Technol
January 2025
School of Optometry and Vision Science, University of New South Wales, Sydney, Australia.
Purpose: The purpose of this study was to develop and validate a deep-learning model for noninvasive anemia detection, hemoglobin (Hb) level estimation, and identification of anemia-related retinal features using fundus images.
Methods: The dataset included 2265 participants aged 40 years and above from a population-based study in South India. The dataset included ocular and systemic clinical parameters, dilated retinal fundus images, and hematological data such as complete blood counts and Hb concentration levels.
Use of Intraoperative Frozen Section to Assess Surgical Margins in HPV-Related Oropharyngeal Carcinoma.
JAMA Otolaryngol Head Neck Surg
January 2025
Department of Otolaryngology/Head and Neck Surgery, Washington University in St Louis School of Medicine, St Louis, Missouri.
Importance: Given the favorable overall prognosis of human papillomavirus (HPV)-related oropharyngeal squamous cell carcinoma (OPSCC) and the morbidity of increased adjuvant therapy associated with positive surgical margins, large-scale studies on the accuracy of frozen sections in predicting final surgical margin status in HPV-related OPSCC are imperative. Final surgical margin status is the definitive assessment of tumor clearance as determined through surgeon-pathologist collaboration based on permanent analysis of frozen section margins, main specimens, and supplemental resections.
Objectives: To assess the accuracy and testing properties of intraoperative frozen section histology (IFSH) in assessing final surgical margin status in patients undergoing transoral surgery for HPV-related OPSCC.
GLP-1RA Use and Thyroid Cancer Risk.
JAMA Otolaryngol Head Neck Surg
January 2025
OptumLabs, Eden Prairie, Minnesota.
Importance: The increasing use of glucagon-like peptide-1 receptor agonists (GLP-1RA) demands a better understanding of their association with thyroid cancer.
Objective: To estimate the risk of incident thyroid cancer among adults with type 2 diabetes being treated with GLP-1RA vs other common glucose-lowering medications.
Design, Setting, And Participants: This was a prespecified secondary analysis of a target trial emulation of a comparative effectiveness study using claims data for enrollees in commercial, Medicare Advantage, and Medicare fee-for-service plans across the US.
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