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Trends in Screening for Social Risk in US Physician Practices.
JAMA Netw Open
January 2025
The Dartmouth Institute for Health Policy and Clinical Practice, Geisel School of Medicine at Dartmouth, Lebanon, New Hampshire.
Importance: A wealth of research on screening for social risks in health care has emerged, but evidence is lacking on how social risk screening among physician practices has changed over time.
Objectives: To evaluate trends in screening for social risks among US physician practices and examine practice characteristics associated with adoption of social risk screening.
Design, Setting, And Participants: The main analysis used a repeated cross-sectional design to analyze results from US physician practices that completed the National Survey of Healthcare Organizations and Systems, a nationally representative survey of physician practices, in 2017 and 2022.
Emergency department trends for inguinal hernia and gallbladder disease before and after COVID-19 scheduled surgery interruptions: lessons for hospital capacity management.
CJEM
January 2025
Department of Emergency Medicine, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada.
Objectives: Postponing scheduled surgeries may alleviate emergency department (ED) crowding by increasing inpatient beds for ED patients but the impact of such measures are unclear. We determined if scheduled surgery cancellations for inguinal hernia and gallbladder disease during the coronavirus pandemic affected ED presentations, hospitalizations, and complications.
Methods: This database review included Albertans ≥ 18 with ED presentations for inguinal hernia and gallbladder disease from March 1, 2018 to May 31, 2022.
Transformations to Simplify Phylogenetic Networks.
Bull Math Biol
January 2025
Biomathematics Research Centre, University of Canterbury, Christchurch, New Zealand.
The evolutionary relationships between species are typically represented in the biological literature by rooted phylogenetic trees. However, a tree fails to capture ancestral reticulate processes, such as the formation of hybrid species or lateral gene transfer events between lineages, and so the history of life is more accurately described by a rooted phylogenetic network. Nevertheless, phylogenetic networks may be complex and difficult to interpret, so biologists sometimes prefer a tree that summarises the central tree-like trend of evolution.
View Article and Find Full Text PDFGlobal, regional, and national trends in type 2 diabetes mellitus burden among adolescents and young adults aged 10-24 years from 1990 to 2021: a trend analysis from the Global Burden of Disease Study 2021.
World J Pediatr
January 2025
Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, 200025, China.
Background: Type 2 diabetes mellitus (T2DM) poses an escalating public health challenge among adolescents and young adults worldwide. Despite the rising incidence, comprehensive data on the burden and trends of T2DM in this demographic remain scarce. This study aims to evaluate the burden of T2DM among individuals aged 10-24 years globally, regionally, and nationally from 1990 to 2021.
View Article and Find Full Text PDFSpatiotemporal characteristics and dynamic prediction of agricultural carbon compensation potential in the middle and lower reaches of the Yellow River Basin.
Environ Sci Pollut Res Int
January 2025
College of Science, Inner Mongolia University of Technology, Hohhot, 015000, China.
Climate change, driven by carbon emissions, has emerged as a pressing global ecological and environmental challenge. Here, we leverage the panel data of five provinces and above prefecture-level cities in the middle and lower reaches of the Yellow River Basin to estimate the agricultural carbon emissions (CEs), carbon sinks (CSs), carbon compensation rate (CCR), and carbon compensation potential (CCP) from 2001 to 2022 and investigate the spatiotemporal evolution characteristics for this region. We propose an improved GLM-stacking ensemble learning method for CE prediction with limited sample data.
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