Burnout In Overwhelmed Healthcare Providers: A Tool For Risk Identification Overview The aim of the Cross-sectional study was to create a predictive model for identifying high-burnout risk among nurses. This research utilized an online survey, gathering data with the Chinese Maslach Burnout Inventory-General Survey (CMBI-GS) and self-administered questionnaires. These questionnaires covered demographic, behavioral,
Tag: nomogram
Colorectal Cancer: A Nomogram To Predict Metastases
Colorectal Cancer: A Nomogram To Predict Metastases Overview This study addresses the imperative task of identifying risk factors associated with distant metastasis in early-onset colorectal cancer (EOCRC), aiming to enhance understanding of its etiology and facilitate preventive treatments. The research, utilizing data from EOCRC patients in the SEER database (2010-2015), seeks to
Eyelid Carcinoma (SGC): A Tool To Predict Recurrence
Eyelid Carcinoma (SGC): A Tool To Predict Recurrence Overview Eyelid sebaceous gland carcinoma (SGC) is a highly malignant condition with a significant recurrence risk. This study aimed to create a predictive nomogram for SGC recurrence based on risk factors. A retrospective study involving 391 patients from one hospital (304) and grassroots hospitals (87)
