Aims. Gender bias and sexual discrimination (GBSD) have been widely recognized across a range of fields and are now part of the wider social consciousness. Such conduct can occur in the medical workplace, with detrimental effects on recipients. The aim of this review was to identify the prevalence and impact of GBSD in orthopaedic surgery, and to investigate interventions countering such behaviours. Methods. A systematic review was conducted by searching Medline, EMCARE, CINAHL, PsycINFO, and the Cochrane Library Database in April 2020, and Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines to which we adhered. Original research papers pertaining to the prevalence and impact of GBSD, or mitigating strategies, within orthopaedics were included for review. Results. Of 570 papers, 27 were eligible for inclusion. These were published between 1998 and 2020. A narrative review was performed in light of the significant heterogeneity displayed by the eligible studies. A total of 13 papers discussed the prevalence of GBSD, while 13 related to the impact of these behaviours, and six discussed mitigating strategies. GBSD was found to be common in the orthopaedic workplace, with all sources showing women to be the subjects. The impact of this includes poor workforce representation, lower salaries, and less career success, including in academia, for women in orthopaedics. Mitigating strategies in the literature are focused on providing female role models, mentors, and educational interventions. Conclusion. GBSD is common in orthopaedic surgery, with a substantial impact on sufferers. A small number of mitigating strategies have been tested but these are limited in their scope. As such, the orthopaedic community is obliged to participate in more thoughtful and proactive strategies that mitigate against GBSD, by improving female recruitment and retention within the specialty. Cite this article: Bone Joint J 2020;102-B(11):1446–1456

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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.

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Biofilm-related infection is a major complication that occurs in orthopaedic surgery. Various treatments are available but efficacy to eradicate infections varies significantly. A systematic review was performed to evaluate therapeutic interventions combating biofilm-related infections on in vivo animal models.

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This study evaluates the quality of patient-reported outcome measures (PROMs) reported in childhood fracture trials and recommends outcome measures to assess and report physical function, functional capacity, and quality of life using the COnsensus-based Standards for the selection of health Measurement INstruments (COSMIN) standards.