Prevalence and factors associated with web‑like mucus in the stomach after vonoprazan use.

The appearance of 'web-like mucus' in the stomach is a novel phenomenon associated with vonoprazan (VPZ) usage, characterized by a descriptive mucus pattern resembling a spider web or net. The present study aimed to determine its prevalence and related factors. In this retrospective observational study, the medical records and endoscopic reports of 547 patients who underwent an esophagogastroduodenoscopy were reviewed.

Added Value of Shaking Chills for Predicting Bacteremia in Patients with Suspected Infection.

Background: Detailed grading of chills is more useful for diagnosing bacteremia than simply classifying the presence or absence of chills. However, its value added to other clinical information has not been evaluated.

Objective: To evaluate the value of adding chills grading to other clinical information compared to simply noting the presence or absence of chills for predicting bacteremia in patients with suspected infection.

The role of lymphatic system transfer (LYST) for treatment of lymphedema: A long-term outcome study of SCIP flap incorporating the lymph nodes and the afferent lymphatic vessels.

Background: Vascularized lymph node transfer (VLNT) is traditionally performed in patients with advanced-stage lymphedema. To enhance and promote the physiological effects of VLNT, lymphatic system transfer (LYST) was developed. In this technique, lymph nodes and a portion of their corresponding afferent lymphatic vessels are transferred to stimulate lymphangiogenesis.

Inadequate Efficacy of Biologics for Treating Proximal Ileal Lesions in Crohn's Disease; a prospective multicenter study.

Background And Aims: While biologic therapy has revolutionized the treatment of Crohn's disease (CD), surgery remains unavoidable in cases involving ileal complications. We aimed to evaluate the efficacy of biologics on proximal ileal lesions using balloon-assisted enteroscopy (BAE).

Methods: This open-label multicenter prospective study was conducted at tertiary referral centers in Japan.

Deep learning detected histological differences between invasive and non-invasive areas of early esophageal cancer.

The depth of invasion plays a critical role in predicting the prognosis of early esophageal cancer, but the reasons behind invasion and the changes occurring in invasive areas are still not well understood. This study aimed to explore the morphological differences between invasive and non-invasive areas in early esophageal cancer specimens that have undergone endoscopic submucosal dissection (ESD), using artificial intelligence (AI) to shed light on the underlying mechanisms. In this study, data from 75 patients with esophageal squamous cell carcinoma (ESCC) were analyzed and endoscopic assessments were conducted to determine submucosal (SM) invasion.