Endovascular versus Best Medical Treatment for Acute Carotid Occlusion BelOw Circle of Willis (ACOBOW): The ACOBOW Study.

Background Symptomatic acute occlusions of the internal carotid artery (ICA) below the circle of Willis can cause a variety of stroke symptoms, even if the major intracranial cerebral arteries remain patent; however, outcome and safety data are limited. Purpose To compare treatment effects and procedural safety of endovascular treatment (EVT) and best medical treatment (BMT) in patients with symptomatic acute occlusions of the ICA below the circle of Willis. Materials and Methods This retrospective, multicenter cohort study from 22 comprehensive stroke centers in Europe and Asia includes patients treated between January 1, 2008, and December 31, 2022.

Influence of an enhanced recovery programme on clinical outcomes and health-related quality of life after pancreaticoduodenectomy ad modum Whipple - an explorative and comparative single-centre study.

Background: The introduction of enhanced recovery programmes (ERP) in pancreatic surgery has significantly improved clinical outcomes by decreasing the length of hospital stay, cost and complications without increasing readmissions and reoperations. To complement evidence on these outcomes, there is a need to explore patients' perspectives of a structured ERP. Therefore, this study aimed to explore the health-related quality of life (HRQoL) of patients before and after implementing ERP in pancreaticoduodenectomy ad modum Whipple (PD) at a regional surgical centre.

Cardiac biomarkers for detection of coronary artery disease in the community.

To investigate whether coronary artery disease (CAD) burden is associated with plasma levels of the myocardial biomarkers Troponin I (TropI) and NT-proBNP in a large population-based sample using a cross-sectional design. Coronary computerized tomography (CT) angiography was performed in 25,859 subjects without a history of atherosclerotic disease from SCAPIS study (age 50-65, 52% women). TropI and NT-proBNP were measured in plasma.

The long-lasting impacts of the COVID-19 pandemic on population-based cancer survival: what are the implications for data analysis?

Monitoring trends of cancer incidence, mortality and survival is vital for the planning and delivery of health services, and the evaluation of diagnostics and treatment at the population level. Furthermore, comparisons are often made between population subgroups to explore inequalities in outcomes. During the COVID-19 pandemic routine delivery of health services were severely disrupted.

Probabilistic weather forecasting with machine learning.

Weather forecasts are fundamentally uncertain, so predicting the range of probable weather scenarios is crucial for important decisions, from warning the public about hazardous weather to planning renewable energy use. Traditionally, weather forecasts have been based on numerical weather prediction (NWP), which relies on physics-based simulations of the atmosphere. Recent advances in machine learning (ML)-based weather prediction (MLWP) have produced ML-based models with less forecast error than single NWP simulations.