Metab Syndr Relat Disord
January 2025
Obesity is a global health issue intricately linked to metabolic syndrome (MetS), insulin resistance, and dyslipidemia. Anthropometric indices, particularly those measuring central obesity, have emerged as more reliable predictors of these metabolic disorders than general obesity indices such as body mass index (BMI). However, the relative predictive power of these indices remains debated, particularly across sexes.
View Article and Find Full Text PDFObjectives: The objective was to investigate the role of double extraction in reducing data errors in evidence synthesis for pharmaceutical and non-pharmaceutical interventions.
Design: Crossover randomized controlled trial (RCT).
Setting: University and hospital with teaching programs in evidence-based medicine.
Background And Purpose: Glioblastoma is a highly aggressive brain tumor with limited survival that poses challenges in predicting patient outcomes. The Karnofsky Performance Status (KPS) score is a valuable tool for assessing patient functionality and contributes to the stratification of patients with poor prognoses. This study aimed to develop a 6-month postoperative KPS prediction model by combining clinical data with deep learning-based image features from pre- and postoperative MRI scans, offering enhanced personalized care for glioblastoma patients.
View Article and Find Full Text PDFIntroduction: Osteoporosis, a significant public health concern, affects millions of adult women globally, leading to increased morbidity and fracture risk. Antidepressant use, prevalent in this demographic, is suggested to influence bone mineral density (BMD), yet evidence remains limited across antidepressant classes.
Objective/aim: We investigated the association between antidepressant use and osteoporosis in a representative sample of adult women in the United States, focusing on different classes of antidepressants and their potential associations with BMD and fracture risk.