Repurposing of Metformin to Improve Survival Outcomes in Patients With Upper Tract Urothelial Carcinoma.

Purpose: Upper tract urothelial carcinoma (UTUC) presents a higher incidence rate in Taiwan compared to Western societies. The aim of this study is to investigate the potential of metformin in improving survival outcomes for patients with UTUC in Taiwan.

Material And Methods: This retrospective study included 940 patients with UTUC and type 2 diabetes from the Taiwan UTUC Collaboration Group, spanning 21 hospitals from July 1988 to September 2023.

Fenofibrate Inhibits LPS and Zymosan-induced Inflammatory Responses through Sonic Hedgehog in IMG Cells.

Background: Neuroinflammatory responses are strongly associated with the pathogenesis of progressive neurodegenerative conditions and mood disorders. Modulating microglial activation is a potential strategy for developing protective treatments for central nervous system (CNS)-related diseases. Fibrates, widely used in clinical practice as cholesterol-lowering medications, exhibit numerous biological activities, such as anticancer and antiinflammatory activities.

The Captopril Challenge Test Predicts Cardiac Structure and Dysfunction in Primary Aldosteronism.

Context: The captopril challenge test (CCT) is a commonly used confirmation test that identifies the magnitude of renin- and angiotensin II-independent aldosterone production, and thus the presence and severity of primary aldosteronism (PA).

Objective: This study investigated the association between the post-CCT plasma aldosterone concentration (PAC) and cardiovascular remodeling and diastolic dysfunction.

Methods: A total of 540 PA patients with complete CCT and echocardiographic data were retrospectively analyzed.

The In-depth Comparative Analysis of Four Large Language AI Models for Risk Assessment and Information Retrieval from Multi-Modality Prostate Cancer Work-up Reports.

Purpose: Information retrieval (IR) and risk assessment (RA) from multi-modality imaging and pathology reports are critical to prostate cancer (PC) treatment. This study aims to evaluate the performance of four general-purpose large language model (LLMs) in IR and RA tasks.

Materials And Methods: We conducted a study using simulated text reports from computed tomography, magnetic resonance imaging, bone scans, and biopsy pathology on stage IV PC patients.