Machine-learning (ML) prediction models in orthopaedic trauma hold great promise in assisting clinicians in various tasks, such as personalized risk stratification. However, an overview of current applications and critical appraisal to peer-reviewed guidelines is lacking. The objectives of this study are to 1) provide an overview of current ML prediction models in orthopaedic trauma; 2) evaluate the completeness of reporting following the Transparent Reporting of a multivariable prediction model for Individual Prognosis Or Diagnosis (TRIPOD) statement; and 3) assess the risk of bias following the Prediction model Risk Of Bias Assessment Tool (PROBAST) tool. A systematic search screening 3,252 studies identified 45 ML-based prediction models in orthopaedic trauma up to January 2023. The TRIPOD statement assessed transparent reporting and the PROBAST tool the risk of bias.Aims
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This meta-analysis and systematic review aimed to comprehensively investigate the effects of vitamin K supplementation on bone mineral density (BMD) at various sites and bone metabolism in middle-aged and older adults. The databases of PubMed, Web of Science, and Cochrane Library were thoroughly searched from inception to July 2023.Aims
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Performance indicators are increasingly used to evaluate the quality of healthcare provided to patients with a hip fracture. The aim of this review was to map the variety of performance indicators used around the world and how they are defined. We present a mixed methods systematic review of literature on the use of performance indicators in hip fracture care. Evidence was searched through 12 electronic databases and other sources. A Mixed Methods Appraisal Tool was used to assess methodological quality of studies meeting the inclusion criteria. A protocol for a suite of related systematic reviews was registered at PROSPERO (CRD42023417515).Aims
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