📄 medicine

Class-Wide Disproportionate Reporting of Impaired Gastric Emptying Across Nine Glucagon-Like Peptide-1 Receptor Agonist Products: A Signal-Detection Analysis of the FDA Adverse Event Reporting System

This study utilizes a transparent, reproducible analysis of the FDA Adverse Event Reporting System to confirm a class-wide disproportionate reporting signal for impaired gastric emptying across nine GLP-1 receptor agonist products, with semaglutide-based therapies showing the strongest signals, while emphasizing that these findings reflect reporting patterns rather than established clinical risk or causality.

Igor Eduardo2026-07-01
📄 medicine

Two Decades of Food Allergen Sensitization in Palestine A Retrospective Analysis of 1,849 Specific-IgE Test Records from a Multi-Branch Diagnostic Laboratory Network, 2004-2026

This retrospective analysis of 1,849 specific-IgE records from a Palestinian diagnostic network over two decades reveals a substantial food allergen sensitization burden characterized by a peak in early childhood, a significant male predominance, a profile dominated by shellfish and dairy, and a declining positivity rate likely driven by expanded testing access.

Ibrahim Salhi, Ansam Mazraawi, Zaina Badran2026-07-01
📄 medicine

Coronal-Plane Feature Analysis in Automated Breast Ultrasound for Differentiating Benign and Malignant BI-RADS 4 Lesions

This study demonstrates that a machine learning model utilizing specific ABUS coronal-plane features, such as retraction phenomenon and ductal changes, achieves expert-level diagnostic performance in differentiating benign from malignant BI-RADS 4 breast lesions, offering a reproducible tool to improve risk stratification and reduce diagnostic variability.

Xiajuan Ding, Shangqing Liu, Min Wang, Chengcheng Zhu, Yingxin Lin, Xingping Liu, Jinwei Zhang, Suzhen Ran2026-07-01
📄 medicine

Single-Stage Deep Learning Pipeline for Multi-Label Ordinal Classification of Lumbar Spine Degenerative Disease from Multisequence MRI with Disc-Level Grad-CAM Explainability Analysis

This study presents a single-stage EfficientNet-B4 deep learning model trained on the RSNA 2024 LumbarDISC dataset to simultaneously perform multi-label ordinal classification of five lumbar degenerative conditions across all disc levels with disc-level Grad-CAM explainability, achieving high sensitivity for severe disease at L4–L5 but limited overall agreement (QWK 0.22) that precludes immediate clinical deployment without further optimization and external validation.

Lochan Shrestha, Huma Subhani2026-07-01
📄 medicine

Epidemiology, Microbial Profile, and Risk Factors of Urinary Tract Infections in Children Under 5 Years: A Retrospective Hospital Registry-Based Study in Southwest Iran (2020–2025)

This retrospective hospital registry-based study in Southwest Iran (2020–2025) identifies *Escherichia coli* as the predominant uropathogen with significant antimicrobial resistance and establishes vesicoureteral reflux, urinary tract abnormalities, catheterization history, and chronic constipation as independent risk factors for recurrent urinary tract infections in children under five.

Abdolkarim Ghadimi Moghadam, Razia Rahian, Maryam Seyed-Nezhad, Soleiman Alivand, Mohammad Moradi-Joo2026-07-01
📄 medicine

Machine Learning-Based Prediction of Composite Adverse Outcomes in Elderly Intensive Care Unit Patients: A Retrospective Cohort Study

This retrospective cohort study utilizing the MIMIC-IV database demonstrates that an XGBoost machine learning model based on first-day clinical data effectively predicts the composite adverse outcome of in-hospital mortality or prolonged ICU stay (>7 days) in elderly patients, achieving an AUROC of 0.853 and retaining strong performance even with a simplified 10-feature version.

Jingyuan Zhang, Bo Zhang, Huaran Zhang, Xiaoying Xu, Zhiyu Liu, Jinhong Xia2026-07-01
📄 medicine

Impact of cardiovascular-kidney-metabolic (CKM) syndrome multistaging on all-cause and cardiovascular mortality in type 2 diabetes: a retrospective cohort study

This retrospective cohort study of 21,918 Chinese adults with type 2 diabetes demonstrates that advancing stages of cardiovascular-kidney-metabolic (CKM) syndrome are independently associated with a progressively graded increase in both all-cause and cardiovascular mortality, underscoring the need for stage-tailored management strategies.

Qichao Sheng, Huiqin Mei, Guomiao Zhang, Mengtin Yin, Yan Fang, Kailong Liu, Yixin Shou, Xiaoyu Zhang, Chao Zhen, Fang S (…)2026-07-01
📄 medicine

Interpretable Machine Learning for Identifying High SBS-Related Symptom Burden Among Endoscopy-Center Staff: A Multicenter Cross-Sectional Study Across 184 Hospitals

This multicenter study developed and validated an interpretable logistic regression model that accurately identifies endoscopy-center staff with high sick building syndrome symptom burdens, revealing that workplace air quality, psychosocial stress, and coworker symptoms are the primary contributing factors.

Xianhuang Li, Weixiang Liu, Ruoyun Hu, Yiyi Liu, Tong Wang, Haojun Chen, Ziyi Li, Haixia Liu, Xi Huang, Jiuhong Ma2026-07-01