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Global, regional, and national burden of esophageal cancer: a systematic analysis of the Global Burden of Disease Study 2021.
Biomark Res
January 2025
Department of Radiology, Zhongshan Hospital, Fudan University, Shanghai, 200032, China.
Background And Objective: Esophageal cancer (EC) is the seventh most prevalent cancer globally and the sixth leading cause of cancer-related mortality. This study aimed to provide an updated stratified assessment of rates in EC incidence, mortality, and disability-adjusted life-years (DALYs) from 1990 to 2021 by sex, age, and Socio-demographic Index (SDI) at global, regional, and national levels, as well as to project the future trends of EC both globally and regionally.
Methods: Data about age-standardized rates (ASRs) of incidence (ASIR), mortality (ASDR), probability of death (ASPoD) and DALYs (ASDALYRs) of EC were obtained from the 2021 Global Burden of Disease (GBD) study.
Moral distress, ethical climate, and compassion fatigue among oncology nurses: the mediating role of moral distress.
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Medical Ethics and Low Research Center, Student Research Committee, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
Background: Oncology nurses have a vital role in providing care for individuals with cancer. Ethical dilemmas arise for oncology nurses caring for these patients. Nurses experience moral distress when work conflicts with personal beliefs, leading to inappropriate responses or uncertainty about ethics.
View Article and Find Full Text PDFValidation of the uncertainty stress scale-high-risk pregnancy - Chinese brief version: Rasch analysis.
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January 2025
Department of Nursing, College of Medicine, National Cheng Kung University, Tainan, Taiwan.
Background: High-risk pregnancy leads to uncertainty and stress in pregnant women due to the threatened of mother and fetus health. The Uncertainty Stress Scale High-Risk Pregnancy Version, a 54-item Chinese version (USS-HRPV-C), has been widely used to assess the uncertainty and stress that women experience during pregnancy. However, the length of the scale may result in a burden for respondents.
View Article and Find Full Text PDFEEG Signals Classification Related to Visual Objects Using Long Short-Term Memory Network and Nonlinear Interval Type-2 Fuzzy Regression.
Brain Topogr
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Department of Biomedical Engineering, Amirkabir University of Technology, Tehran, Iran.
By gaining insights into how brain activity is encoded and decoded, we enhance our understanding of brain function. This study introduces a method for classifying EEG signals related to visual objects, employing a combination of an LSTM network and nonlinear interval type-2 fuzzy regression (NIT2FR). Here, ResNet is utilized for feature extraction from images, the LSTM network for feature extraction from EEG signals, and NIT2FR for mapping image features to EEG signal features.
View Article and Find Full Text PDFBurdens of type 2 diabetes and cardiovascular disease attributable to sugar-sweetened beverages in 184 countries.
Nat Med
January 2025
Food Is Medicine Institute, Friedman School of Nutrition Science and Policy, Tufts University, Boston, MA, USA.
The consumption of sugar-sweetened beverages (SSBs) is associated with type 2 diabetes (T2D) and cardiovascular diseases (CVD). However, an updated and comprehensive assessment of the global burden attributable to SSBs remains scarce. Here we estimated SSB-attributable T2D and CVD burdens across 184 countries in 1990 and 2020 globally, regionally and nationally, incorporating data from the Global Dietary Database, jointly stratified by age, sex, educational attainment and urbanicity.
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