Clinical Judgment Model-Based Critical Reflection Program for Newly Graduated Nurses: A Nonrandomized Controlled Trial.

This study evaluated the effects of a critical reflection program utilizing the Lasater Clinical Judgment Rubric (LCJR) reflective questions based on the Clinical Judgment Model (CJM) on newly graduated nurses' clinical judgment skills. A total of 153 newly graduated nurses scheduled for on-site training in a ward nursing unit were divided into a control group (receiving only the usual on-site training with preceptorship) and an experimental group (receiving the developed program with the same on-site training with preceptorship as the control group). Data were collected at baseline, 6 weeks, and 3 months after the intervention.

Multi-omic insights into molecular mechanism and therapeutic targets in spinocerebellar ataxia type 7.

Recent advances in molecular science have significantly enlightened our mechanistic understanding of spinocerebellar ataxia type 7. To further close remaining gaps, we performed a multi-omics analysis using SCA7 mice. Entire brain tissue samples were collected from 12-week-old mice, and RNA sequencing, methylation analysis, and proteomic analysis were performed.

Effectiveness and Safety of Dose-Specific DOACs in Patients With Atrial Fibrillation: A Systematic Review and Network Meta-Analysis.

Dose adjustments of direct-acting oral anticoagulants (DOACs) for atrial fibrillation are based on pivotal clinical trials assessing their effectiveness and safety in controlled settings. However, the appropriateness of these dosing strategies in real-world practice is uncertain. The purpose of this study is to compare the effectiveness and safety of dose-specific DOACs with those of warfarin.

The impact of body mass index on mortality according to age in hemodialysis patients: an analysis of the Korean Renal Data System.

The impact of age on the relationship between body mass index (BMI) and all-cause mortality in hemodialysis (HD) patients is not clearly understood. We analyzed the association between BMI and all-cause mortality, stratified by age, in patients undergoing HD using data from the Korean Renal Data System (KORDS). We analyzed 66,129 HD patients from the 2023 KORDS database, with data collected between 2001 and 2022.

A novel machine learning model for screening the risk of obstructive sleep apnea using craniofacial photography with questionnaires.

Study Objectives: Undiagnosed or untreated moderate to severe obstructive sleep apnea (OSA) increases cardiovascular risks and mortality. Early and efficient detection is critical, given its high prevalence. We aimed to develop a practical and efficient approach for obstructive sleep apnea screening, using simple facial photography and sleep questionnaires.