Metabolic dysfunction-associated fatty liver disease (MAFLD) has become the most prevalent chronic liver condition in adolescents. The triglyceride-glucose (TyG) index, a surrogate marker of insulin resistance, has shown promise in adult MAFLD detection but requires pediatric-specific validation, particularly when combined with anthropometric measures. This study investigated the association between modified TyG indices and MAFLD, and evaluated their predictive value in adolescents.

The association between visceral adiposity index (VAI) and metabolic dysfunction-associated steatotic liver disease (MASLD) remains unestablished. Our study sought to investigate the potential relationship between VAI and MASLD risk.

This review explores the transformative potential of artificial intelligence in the diagnosis and management of biliopancreatic disorders. By leveraging cutting-edge techniques such as deep learning and convolutional neural networks, artificial intelligence has significantly advanced gastroenterology, particularly in endoscopic procedures such as colonoscopy, upper endoscopy, and capsule endoscopy. These applications enhance adenoma detection rates, and improve lesion characterization and diagnostic accuracy. Artificial intelligence's integration in cross-sectional imaging modalities, such as computed tomography and magnetic resonance imaging, has shown remarkable potential. Models have demonstrated high accuracy in identifying pancreatic ductal adenocarcinoma, pancreatic cystic lesions, and pancreatic neuroendocrine tumors, aiding in early diagnosis, resectability assessment, and personalized treatment planning. In advanced endoscopic procedures, like digital single-operator cholangioscopy and endoscopic ultrasound, artificial intelligence enhances anatomical recognition, improves lesion classification, with potential reduction in procedural variability, enabling more consistent diagnositc and therapeutic outcomes. Promising applications in biliopancreatic endoscopy include the detection of biliary stenosis, classification of dysplastic precursor lesions, and assessment of pancreatic abnormalities. This review aims to capture the current state of artificial intelligence application in biliopancreatic disorders, summarizing the results of early studies, and paving the path for future directions.

To investigate the relationship between serum uric acid (SUA) levels and metabolic dysfunction-associated steatotic liver disease (MASLD) in newly diagnosed type 2 diabetic patients.

To study the effect of active wound dressing on postoperative pain and wound healing in patients undergoing anorectal surgery (AS).

In real-world clinical settings, the clinical efficacy of vedolizumab (VDZ) in patients with ulcerative colitis (UC) remains unclear. In this study, we aimed to evaluate the efficacy of prednisolone (PSL)-VDZ combination therapy in patients with UC.

Childhood trauma and negative events during adulthood were associated with the symptom severity of irritable bowel syndrome (IBS). However, the interaction effect of these negative events on IBS remains poorly understood.

The incidence of colorectal cancer (CRC) is gradually increasing, making the prevention and early detection of CRC a global priority. The purpose of this study is to evaluate the effect of fecal SDC2, ADHFE1, and PPP2R5C gene methylation on the screening of early CRC in the Otog Front Banner.

The aim of this single-center study was to summarize the diagnosis and treatment experience of acute pancreatitis after kidney transplantation. To explore the etiology of acute pancreatitis in kidney transplant recipients and provide reference for the prevention and diagnosis.

The status of family-based H. pylori infection in Yunnan Province is unknown. This study is the first family-based epidemiological survey of H. pylori in the province, aiming to provide new insights into the status of family-based H. pylori infections in Yunnan Province as well as in the country as a whole.

Transarterial chemoembolization (TACE) is a primary treatment for hepatocellular carcinoma (HCC) in patients with liver cirrhosis. Prognostic markers that reliably predict outcomes in these patients post-TACE remain insufficiently defined. Systemic inflammatory markers such as the Pan-Immunological Value (PIV), Platelet-Lymphocyte Ratio (PLR), Lymphocyte-Monocyte Ratio (LMR), Neutrophil-Platelet Ratio (NPR), and Neutrophil-Lymphocyte Ratio (NLR) offer potential prognostic insights for various disease. This study aims to evaluate this markers to ascertain their predictive value in determining prognosis post-TACE.

Assessing plasma volume is important in the management and treatment of severe acute pancreatitis (SAP). Although it is an easy and rapid method for estimating the plasma volume, the association between estimated plasma volume status (ePVS) and the prognosis of SAP remains elusive. This study was aimed at assessing the relationship of ePVS with the risk of 30-day all-cause mortality (ACM) in SAP patients.

Gastric precancerous lesions (GPL) represent a heterogeneous, multi-stage process that involves transition from a benign to a malignant state. To optimize prevention and intervention strategies, accurate methods must clearly distinguish between precancerous stages and predict progression risks at early stages.

We undertook this study to assess the efficacy of probiotics in managing adverse reactions during chemoradiotherapy in patients with colorectal cancer.

This study is aimed to develop and validate a machine learning model, which combined radiomics and clinical characteristics to predicting the definitive chemoradiotherapy (dCRT) treatment response in esophageal squamous cell carcinoma (ESCC) patients.

Although surgery-based comprehensive therapy is highly effective for treating stage I-III colorectal cancer, heterogeneity in survival trajectories still exists, necessitating precise prognostic stratification. Serum cholinesterase (CHE) and the platelet-to-hemoglobin ratio (PHR) are emerging as potential prognostic markers reflecting inflammation, nutritional status, and tumor biology. This study aims to investigate their combined value in predicting survival outcomes for stage I-III CRC patients, potentially offering a cost-effective tool for personalized management.