National Clinical Skills Competition for Medical Students in China.

Simul Healthc

Educational Department, Peking University People's Hospital, Beijing, ChinaPeking University People's Hospital, Beijing, ChinaDepartment of Higher Education, Ministry of Education, the People's Republic of China, Beijing, ChinaNorman Bethune Health Science Center, Jilin University, Jilin, ChinaXiangya School of Medicine, Central South University, Changsha, ChinaZhongshan School of Medicine, Sun Yat-Sen University, Guangzhou, China.

Published: April 2017

Download full-text PDF

Source
http://dx.doi.org/10.1097/SIH.0000000000000183DOI Listing

Publication Analysis

Top Keywords

national clinical
4
clinical skills
4
skills competition
4
competition medical
4
medical students
4
students china
4
national
1
skills
1
competition
1
medical
1

Similar Publications

Background: The pressure gradient between the ventricles and the subarachnoid space (transmantle pressure) is crucial for understanding CSF circulation and the pathogenesis of certain neurodegenerative diseases. This pressure can be approximated by the pressure difference across the aqueduct (ΔP). Currently, no dedicated platform exists for quantifying ΔP, and no research has been conducted on the impact of breathing on ΔP.

View Article and Find Full Text PDF

Objective: This study aimed to evaluate and compare the clinicopathologic features of primary fallopian tubal carcinoma (PFTC) and high-grade serous ovarian cancer (HGSOC) and explore the prognostic factors of these two malignant tumors.

Methods: Fifty-seven patients diagnosed with PFTC from 2006 to 2015 and 60 patients diagnosed with HGSOC from 2014 to 2015 with complete prognostic information were identified at Women's Hospital of Zhejiang University. The clinicopathological and surgical data were collected, and the survival of the patients was followed for 5 years after surgery.

View Article and Find Full Text PDF

Background: Adenoid cystic carcinoma of the breast is a rare subtype, constituting less than 3.5% of primary breast carcinomas. Despite being categorized as a type of triple-negative breast cancer, it generally has a favorable prognosis.

View Article and Find Full Text PDF

A machine learning-based model to predict POD24 in follicular lymphoma: a study by the Chinese workshop on follicular lymphoma.

Biomark Res

January 2025

Department of Hematology, The First Affiliated Hospital of Xiamen University and Institute of Hematology, School of Medicine, Xiamen University, Xiamen, 361003, P.R. China.

Background: Disease progression within 24 months (POD24) significantly impacts overall survival (OS) in patients with follicular lymphoma (FL). This study aimed to develop a robust predictive model, FLIPI-C, using a machine learning approach to identify FL patients at high risk of POD24.

Methods: A cohort of 1,938 FL patients (FL1-3a) from seventeen centers nationwide in China was randomly divided into training and internal validation sets (2:1 ratio).

View Article and Find Full Text PDF

Background: Limited data is available to evaluate the burden of device associated healthcare infections (HAI) [central line associated bloodstream infection (CLABSI), catheter associated urinary tract infection (CAUTI), and ventilator associated pneumonia (VAP)] in low and-middle-income countries. Our aim is to investigate the population attributable mortality fraction and the absolute mortality difference of HAI in a broad population of critically ill patients from Brazil.

Methods: Multicenter cohort study from September 2019 to December 2023 with prospective individual patient data collection.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!