Displaced fractures of the distal radius in children are usually reduced under sedation or general anaesthesia to restore anatomical alignment before the limb is immobilized. However, there is growing evidence of the ability of the distal radius to remodel rapidly, raising doubts over the benefit to these children of restoring alignment. There is now clinical equipoise concerning whether or not young children with displaced distal radial fractures benefit from reduction, as they have the greatest ability to remodel. The Children’s Radius Acute Fracture Fixation Trial (CRAFFT), funded by the National Institute for Health and Care Research, aims to definitively answer this question and determine how best to manage severely displaced distal radial fractures in children aged up to ten years. Cite this article:
Periprosthetic femoral fractures are increasing in incidence, and typically occur in frail elderly patients. They are similar to pathological fractures in many ways. The aims of treatment are the same, including 'getting it right first time' with a single operation, which allows immediate unrestricted weightbearing, with a low risk of complications, and one that avoids the creation of stress risers locally that may predispose to further peri-implant fracture. The surgical approach to these fractures, the associated soft-tissue handling, and exposure of the fracture are key elements in minimizing the high rate of complications. This annotation describes the approaches to the femur that can be used to facilitate the surgical management of peri- and interprosthetic fractures of the femur at all levels using either modern methods of fixation or revision arthroplasty. Cite this article:
There is increasing popularity in the use of artificial intelligence and machine-learning techniques to provide diagnostic and prognostic models for various aspects of Trauma & Orthopaedic surgery. However, correct interpretation of these models is difficult for those without specific knowledge of computing or health data science methodology. Lack of current reporting standards leads to the potential for significant heterogeneity in the design and quality of published studies. We provide an overview of machine-learning techniques for the lay individual, including key terminology and best practice reporting guidelines. Cite this article:
