The principles of evidence-based medicine (EBM) are the foundation of modern medical practice. Surgeons are familiar with the commonly used statistical techniques to test hypotheses, summarize findings, and provide answers within a specified range of probability. Based on this knowledge, they are able to critically evaluate research before deciding whether or not to adopt the findings into practice. Recently, there has been an increased use of artificial intelligence (AI) to analyze information and derive findings in orthopaedic research. These techniques use a set of statistical tools that are increasingly complex and may be unfamiliar to the orthopaedic surgeon. It is unclear if this shift towards less familiar techniques is widely accepted in the orthopaedic community. This study aimed to provide an exploration of understanding and acceptance of AI use in research among orthopaedic surgeons. Semi-structured in-depth interviews were carried out on a sample of 12 orthopaedic surgeons. Inductive thematic analysis was used to identify key themes.Aims
Methods
Chronic osteomyelitis (COM) of the lower limb in adults can be surgically managed by either limb reconstruction or amputation. This scoping review aims to map the outcomes used in studies surgically managing COM in order to aid future development of a core outcome set. A total of 11 databases were searched. A subset of studies published between 1 October 2020 and 1 January 2011 from a larger review mapping research on limb reconstruction and limb amputation for the management of lower limb COM were eligible. All outcomes were extracted and recorded verbatim. Outcomes were grouped and categorized as per the revised Williamson and Clarke taxonomy.Aims
Methods
Bone demonstrates good healing capacity, with a variety of strategies being utilized to enhance this healing. One potential strategy that has been suggested is the use of stem cells to accelerate healing. The following databases were searched: MEDLINE, CENTRAL, EMBASE, Cochrane Database of Systematic Reviews, WHO-ICTRP, ClinicalTrials.gov, as well as reference checking of included studies. The inclusion criteria for the study were: population (any adults who have sustained a fracture, not including those with pre-existing bone defects); intervention (use of stem cells from any source in the fracture site by any mechanism); and control (fracture healing without the use of stem cells). Studies without a comparator were also included. The outcome was any reported outcomes. The study design was randomized controlled trials, non-randomized or observational studies, and case series.Aims
Methods
The aim of this study was to review the role
of clinical trial networks in orthopaedic surgery. A total of two
electronic databases (MEDLINE and EMBASE) were searched from inception
to September 2013 with no language restrictions. Articles related
to randomised controlled trials (RCTs), research networks and orthopaedic
research, were identified and reviewed. The usefulness of trainee-led
research collaborations is reported and our knowledge of current
clinical trial infrastructure further supplements the review. Searching
yielded 818 titles and abstracts, of which 12 were suitable for
this review. Results are summarised and presented narratively under
the following headings: 1) identifying clinically relevant research
questions; 2) education and training; 3) conduct of multicentre
RCTs and 4) dissemination and adoption of trial results. This review
confirms growing international awareness of the important role research
networks play in supporting trials in orthopaedic surgery. Multidisciplinary
collaboration and adequate investment in trial infrastructure are crucial
for successful delivery of RCTs. Cite this article:
