Shaanxi Provincial Hospital of Traditional Chinese Medicine

Reliability and quality of colorectal cancer-related health information videos on social media platforms: a cross-sectional study

Social media video platforms have become major sources of colorectal cancer (CRC) information, yet the reliability and educational value of CRC-related videos remain uncertain across platforms. This study aimed to compare the reliability, overall quality, and educational usabilit...

Association of dexmedetomidine use with stroke-heart syndrome in critically ill patients with ischemic stroke: a MIMIC-IV study

Background Stroke-heart syndrome (SHS) is associated with poor outcomes after ischemic stroke (IS), but the relationship between dexmedetomidine (DEX) use and SHS remains unclear.Objective To evaluate the association between DEX use and SHS in critically ill patients with IS.Meth...

Urban–rural disparities in care deficit among functionally impaired older adults in China: prevalence gaps and shared determinants, 2013–2020

Global population aging highlights equitable elder care as a crucial challenge. China’s rapid aging amid a marked urban-rural divide offers a critical context to examine structural disparities in care deficits. This study aims to quantify urban-rural disparities in care-deficit p...

YouTube, TikTok, and Bilibili as sources of medical information on lumbar spinal stenosis

Lumbar spinal stenosis (LSS) is a common degenerative condition that impairs mobility and quality of life, particularly in older adults. Video-sharing platforms are increasingly used for health information, yet the quality and reliability of LSS-related videos and cross-platform...

Glioblastoma mimicking a cerebral cavernous malformation: case report

Glioblastoma is the most common malignant tumor of the central nervous system, and its diagnosis is typically straightforward based on clinical and neuroimaging data. However, when glioblastoma and cavernous hemangioma exhibit overlapping MRI features, the diagnosis becomes chall...

A semi-supervised deep learning framework (TBMNet) for automatic tumor budding quantification: real-world validation and clinical utility in stage II colorectal cancer

Abstract Background Tumor budding (TB) is a clinically important prognostic marker in colorectal cancer (CRC), but its assessment remains subjective and its biological basis is incompletely understood. We developed an artificial intelligence (AI)-based TB evaluation framework and...

Clinical and inflammatory profiles of pulmonary versus non-pulmonary sepsis in ICU patients: a single-center retrospective study

In this single-center retrospective observational study, we compared the clinical characteristics, pathogen spectrum, inflammatory profiles, and outcomes between patients with pulmonary and non-pulmonary sepsis from January 2024 to October 2025. Based on the source of infection,...