North Sichuan Medical University

Three latent subtypes of suicide risk and network characteristics of scale item associations among adolescents with major depressive disorder: a cross-sectional study

This study aimed to identify latent suicide risk subtypes among first-episode, treatment-naive adolescents with major depressive disorder (MDD), and to explore the item-level association patterns across subtypes, so as to provide evidence for optimizing stratified suicide risk sc...

Predictive analysis of construction accident outcomes using explainable artificial intelligence and evidence fusion techniques

Purpose Effective construction safety management relies on interpretable information to guide practitioner interventions. However, most current predictive models are “black boxes” that provide limited insight into the complex, multifactor causal mechanisms of accidents. Therefore...

Retrograde Transaortic Percutaneous Retrieval of a Left-Ventricularly Embolized LAmbre Occluder Followed by Same-Session Redo Left Atrial Appendage Closure: A Case Report

Abstract Background Left atrial appendage closure (LAAC) is an established stroke-prevention strategy for selected patients with atrial fibrillation who are unsuitable for long-term oral anticoagulation. Device embolization is rare but potentially life-threatening, particularly w...

Latent profiles and influencing factors of missed nursing care among ICU nurses

Abstract Background Missed nursing care (MNC) is common in intensive care units (ICUs) and seriously threatens patient safety. Most existing studies treat ICU nurses as a homogeneous group, overlooking within-group heterogeneity. Based on the Job Demands-Resources model, this stu...

Arachidonic acid metabolism-based stratification reveals immune microenvironment heterogeneity and defines a prognostic signature in triple-negative breast cancer

Arachidonic acid (AA) metabolic reprogramming has emerged as an important driver of tumor progression and immune escape. However, how AA metabolism–related genes (AAMRGs) contribute to immune microenvironment heterogeneity and clinical outcomes in triple-negative breast cancer (T...

Global research landscape of natural medicines for lower urinary tract symptoms: bibliometric and clinical trial analysis

Abstract Background Natural medicines have demonstrated significant therapeutic potential in the management and attenuation of lower urinary tract symptoms (LUTS). According to the Web of Science Core Collection (WoSCC), a total of 497 related articles have been published during...

Evaluation of the safety and efficacy of 225Ac-PSMA-CY313 in metastatic castration-resistant prostate cancer: preliminary results

Abstract Objective Metastatic castration-resistant prostate cancer (mCRPC) remains associated with poor long-term outcomes, and survival under current treatment is modest. Prostate-specific membrane antigen (PSMA)-targeted alpha therapy using 225 Ac exhibits superior cytotoxicity...

MRI-based radiomic models of subchondral bone for predicting the occurrence of knee osteoarthritis

To extract the MRI-based radiomic features of subchondral bone, and establish multi-regional radiomic models and delta-radiomic models for predicting the 2-year risk of knee osteoarthritis (KOA). The data used in this study were obtained from the osteoarthritis initiative (OAI)....

The effect of informational content redundancy in short instructional videos on the ESD teaching effectiveness

With the advancement of digital education, short videos have emerged as a powerful teaching and learning, demonstrating unprecedented potential for education for sustainable development (ESD). This study examines how learners’ perceived information content redundancy in ESD-relat...

Preoperative enhanced CT lymph node parameters and postoperative pathology for predicting regional control failure after neck dissection for oral cancer

Background Regional control failure (RCF) after neck dissection (ND) remains a major determinant of poor survival in oral squamous cell carcinoma (OSCC). The objective of this research was to devise and confirm a combined predictive model incorporating preoperative contrast-enhan...

A machine learning model based on mPASS and imaging features for early assessment of clinically relevant outcomes in acute pancreatitis

To develop and validate a machine learning (ML) model based on the modified pancreatitis activity scoring system (mPASS) and imaging features for the early assessment of multiple clinically relevant outcomes in acute pancreatitis (AP). A retrospective cohort of 420 AP patients wa...