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Learning environment as a predictor for medical students' empathy: a multicenter cross-sectional study from 12 medical schools in China.
BMC Psychol
January 2025
Department of Orthopedics, School of Medicine, Shanghai General Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, 100 Haining Road, Shanghai, China.
Background: Empathy of medical students is crucial, yet it tends to decline as students enter later academic years. Empathy appeared to be affected by the learning environment (LE), which could be a potential contributor. We conducted a cross-sectional study to investigate the association between LE and empathy.
View Article and Find Full Text PDFEpidemiological Features of Sinonasal Adenocarcinoma and Prognostic Nomogram: A Study Based on the SEER Database.
Cancer Control
January 2025
Department of Oncology, Suining Central Hospital, Suining, China.
Objective: Our study aimed to update demographic profiles of sinonasal adenocarcinoma (SNAC) between 2000 and 2020, identify independent prognostic risk factors, and devise a predictive nomogram for overall survival (OS).
Methods: Utilizing the Surveillance, Epidemiology, and End Results (SEER) database, cases of SNAC from 2000 to 2020 were analyzed for incidence trends. Univariate and multivariate Cox regression models helped pinpoint factors impacting patient survival.
Cost-effectiveness analysis of pembrolizumab with chemotherapy for metastatic nonsquamous non-small cell lung cancer in Taiwan.
J Food Drug Anal
December 2024
Department of Clinical Pharmacy, School of Pharmacy, College of Pharmacy, Taipei Medical University, Taipei, Taiwan.
This study was aimed to evaluate the cost-effectiveness of pembrolizumab with chemotherapy (pembrolizumab combination therapy) and compare it with standard-of-care platinum-based chemotherapy (chemotherapy alone) as a first-line treatment for metastatic nonsquamous NSCLC from the perspective of Taiwan's third-party-payer public health-care system. We used a partitioned survival model with an estimated time horizon of 10 years. The partitioned survival model uses Kaplan-Meier estimates of progression-free and overall survival from the KEYNOTE-189 clinical trial.
View Article and Find Full Text PDFExplainable Machine Learning to Predict Treatment Response in Advanced Non-Small Cell Lung Cancer.
JCO Clin Cancer Inform
January 2025
Emory University School of Medicine, Atlanta, GA.
Purpose: Immune checkpoint inhibitors (ICIs) have demonstrated promise in the treatment of various cancers. Single-drug ICI therapy (immuno-oncology [IO] monotherapy) that targets PD-L1 is the standard of care in patients with advanced non-small cell lung cancer (NSCLC) with PD-L1 expression ≥50%. We sought to find out if a machine learning (ML) algorithm can perform better as a predictive biomarker than PD-L1 alone.
View Article and Find Full Text PDFDisparities in time to treatment initiation of invasive lung cancer among Black and White patients in Tennessee.
PLoS One
January 2025
Division of Intramural Research, National Institute on Minority Health and Health Disparities, National Institutes of Health, Bethesda, MD, United States of America.
Background: Early initiation of treatment for lung cancer has been shown to improve patient survival. The present study investigates disparities in time to treatment initiation of invasive lung cancer within and between Black and White patients in Tennessee.
Methods: A population-based registry data of 42,970 individuals (Black = 4,480 and White = 38,490) diagnosed with invasive lung cancer obtained from the Tennessee Cancer Registry, 2005-2015, was analyzed.
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