Publications by authors named "A Gabrio"

Objectives: Recent multicenter trials suggest that higher protein delivery may result in worse outcomes in critically ill patients, but uncertainty remains. An updated Bayesian meta-analysis of recent evidence was conducted to estimate the probabilities of beneficial and harmful treatment effects.

Data Sources: An updated systematic search was performed in three databases until September 4, 2024.

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The Bayesian analytical framework is clinically intuitive, characterised by the incorporation of previous evidence into the analysis and allowing an estimation of treatment effects and their associated uncertainties. The application of Bayesian statistical inference is not new to the cardiovascular field, as illustrated by various recent randomised trials that have applied a primary Bayesian analysis. Given the guideline-shaping character of trials, a thorough understanding of the concepts and technical details of Bayesian statistical methodology is of utmost importance to the modern practicing cardiovascular physician.

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Objectives: In this study, we examine how residents are affected by moving from a regular nursing home into an innovative living arrangement. In the past decade, a culture change has taken place, leading to rapid developments of innovative living arrangements that aim to change the physical, social, and organizational environment to better suit the needs of older adults needing 24-hour care. This has inevitably led to more group relocations in long-term care.

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Objectives: Coronary revascularization is frequently performed for coronary artery disease (CAD). This study aims to assess the totality of randomized evidence comparing percutaneous coronary intervention with drug-eluting stents (DES-PCI) with coronary artery bypass grafting (CABG) for CAD.

Methods: A systematic search was applied to 3 electronic databases, including randomized trials comparing DES-PCI with CABG for CAD with 5-year follow-up.

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