Continuous compression implants (CCIs) are small memory alloy bone staples that can provide continuous compression across a fracture site, which change shape due to temperature changes. Reviews of CCIs in orthopaedics have documented their use in mainly foot and ankle surgery, with very limited descriptions in trauma. They could be beneficial in the management of complex or open injuries due to their low profile and quick insertion time. The aim of this case series were to clarify the use of CCIs in modern day limb reconstruction practice. This was a single centred study looking retrospectively at prospective data for patients who were treated for an acute fracture or non-union with a CCI between September 2019 and May 2023. Primary outcome was to determine the function and indication of the CCI as judged retrospectively and secondary outcomes investigated unplanned returns to theatre for infection or CCI failure.Introduction
Materials & Methods
Total hip and knee arthroplasty (THA, TKA) are largely successful procedures; however, both have variable outcomes, resulting in some patients being dissatisfied with the outcome. Surgeons are turning to technologies such as robotic-assisted surgery in an attempt to improve outcomes. Robust studies are needed to find out if these innovations are really benefitting patients. The Robotic Arthroplasty Clinical and Cost Effectiveness Randomised Controlled Trials (RACER) trials are multicentre, patient-blinded randomized controlled trials. The patients have primary osteoarthritis of the hip or knee. The operation is Mako-assisted THA or TKA and the control groups have operations using conventional instruments. The primary clinical outcome is the Forgotten Joint Score at 12 months, and there is a built-in analysis of cost-effectiveness. Secondary outcomes include early pain, the alignment of the components, and medium- to long-term outcomes. This annotation outlines the need to assess these technologies and discusses the design and challenges when conducting such trials, including surgical workflows, isolating the effect of the operation, blinding, and assessing the learning curve. Finally, the future of robotic surgery is discussed, including the need to contemporaneously introduce and evaluate such technologies. Cite this article:
Meniscal tears affect 222 per 100,000 of the population and can be managed non-operatively or operatively with an arthroscopic partial meniscectomy (APM), meniscal repair or meniscal transplantation. The purpose of this review is to summarise the outcomes following treatment with a meniscal tear and explore correlations between outcomes. A systematic review was performed of MEDLINE, EMBASE, AMED and the Cochrane Central Register of Controlled Trials to identify prospective studies describing the outcomes of patients with a meniscal tear. Comparisons were made of outcomes between APM and non-operative groups. Outcomes were graphically presented over time for all treatment interventions. Pearson's correlations were calculated between outcome timepoints.Abstract
Background
Methodology
Recent research has questioned the role of arthroscopic meniscectomy in patients with a meniscal tear leading to the development of treatment recommendations for these patients. There is a clear need to understand patient perceptions of living with a meniscal tear in order to plan future research and treatment guidelines. To explore the experiences and expectations of treatment of young patients with a meniscal tear of the kneeAbstract
Introduction
Aims
The Forgotten Joint Score (FJS) is a 12-item patient reported outcome measurement instrument. It was developed with classical test theory, without testing assumptions such as unidimensionality (all items reflect one underlying factor), appropriate weighting of each item, no differential item function (DIF, different groups answer the same way), and monotonicity (people with higher function have higher score). We applied item response theory (IRT) to improve the validity of FJS to contemporary standards to optimise it for ongoing use. Does the FJS reflect one latent trait? Can an IRT model be fitted to the FJS to provide interval-scaled measurement?Abstract
Background
Research Questions
