Aims. Osteoarthritis (OA) is a widespread chronic degenerative joint disease with an increasing global impact. The pathogenesis of OA involves complex interactions between genetic and environmental factors. Despite this, the specific genetic mechanisms underlying OA remain only partially understood, hindering the development of targeted therapeutic strategies. Methods. A transcriptome-wide association study (TWAS) was conducted for site-specific OA phenotypes using functional summary-based imputation (FUSION). High-confidence candidate genes were identified through rigorous quality control measures, including joint/conditional analysis, permutation tests, best model evaluation, and colocalization analysis. Co-expression network analysis was performed to elucidate the functional biology of these candidate genes. Druggable gene targets and their structural models were retrieved from the DrugBank and SWISS-MODEL databases. Finally, the enrichment of mitogen-activated protein kinase 3 (MAPK3) and SMAD3 in OA was validated biochemically using in vitro and in vivo OA models, as well as human histological sections. Results. Utilizing the FUSION algorithm, TWAS identified 794 candidate genes for OA. After quality control, 14 genes were classified as high-confidence genes, with seven recognized as potential drug targets including GCAT, MAPK3, MST1R, PFKM, RAD9A, SMAD3, and USAP8. Co-expression analysis revealed a strong biological association between SMAD3 and MAPK3. Both in vitro and in vivo experiments demonstrated high activity and enriched expression of these two genes in OA. Conclusion. The present study identified tissue-specific candidate genes and validated high-confidence druggable targets for OA, providing new insights into the genetic landscape and biological processes involved in OA. Further functional studies are warranted to confirm these findings. Cite this article: Bone Joint Res 2025;14(3):224–235

Aims

The effectiveness of total hip arthroplasty (THA) for patients with no or minimal radiological signs of osteoarthritis (OA) is unclear. In this study, we aimed to: 1) assess the outcome of such patients; 2) identify patient comorbidities and CT or MRI findings which predicted outcome; and 3) compare their outcome to the expected outcome of THA for hip OA.

Aims

Diagnostic wrist arthroscopy is considered the gold standard for evaluating wrist joint complaints. Although this tool is often used to diagnose and stage scapholunate ligament (SLL) lesions, reports about the possible findings and their clinical relevance are scarce. Therefore, this study describes the patient characteristics, arthroscopic findings, and treatment of patients who underwent diagnostic arthroscopy for suspected SLL injury.

Aims

Assessment of bone health is a multifaceted clinical process, incorporating biochemical and diagnostic tests that should be accurate and reproducible. Dual-energy X-ray absorptiometry (DXA) is the reference standard for evaluation of bone mineral density, but has known limitations. Alternatives include quantitative CT (q-CT), MRI, and peripheral quantitative ultrasound (QUS). Radiofrequency echographic multispectrometry (REMS) is a new generation of ultrasound technology used for the assessment of bone mineral density (BMD) at axial sites that is as accurate as quality-assured DXA scans. It also provides an assessment of the quality of bone architecture. This will be of direct value and significance to orthopaedic surgeons when planning surgical procedures, including fracture fixation and surgery of the hip and spine, since BMD alone is a poor predictor of fracture risk.

Aims. 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. Methods. 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). Results. A total 24,634 articles were reviewed, of which 171 met the criteria of the review. Included studies were heterogenous in design and came from varied healthcare systems in 34 different countries. Most studies were conducted in high-income countries in Europe (n = 118), followed by North America (n = 33), Asia (n = 21), Australia (n = 10), and South America (n = 2). The highest number of studies in one country came from the UK (n = 45). Only seven of the 171 studies (< 2,000 participants) were conducted across ten low- and middle-income countries (LMICs). There was variation in the performance indicators reported from different healthcare systems, and indicators were often undefined or ambiguously defined. For example, there were multiple definitions of 'early' in terms of surgery, different or missing definitions of ‘mobilization’, and variety in what was included in an ‘orthogeriatric assessment’ in hip fracture care. However, several performance indicators appeared commonly, including time to surgery (n = 142/171; 83%), orthogeriatric review (n = 30; 17%), early mobilization after surgery (n = 58; 34%), and bone health assessment (n = 41; 24%). Qualitative studies (n = 18), mainly from high-income countries and India, provided evidence on the experiences of 192 patients and 138 healthcare professionals with regard to the use of performance indicators in clinical care and rehabilitation pathways. Themes included the importance of education and training in parallel with the introduction of performance indicators, clarity of roles with the clinical team, and the need for restructuring or integration of care pathways. Conclusion. This review identified a large number of performance indicators related to the delivery of healthcare for patients with a hip fracture. However, their definitions and thresholds varied across studies and countries. Evidence from LMICs is sparse. Both qualitative and quantitative evidence indicates that there remains a pressing need for further research into the use and standardization of performance indicators in hip fracture care and their influence on patient outcomes and economic costs. Cite this article: Bone Jt Open 2025;6(3):275–290

Aims. Prevalence of artificial intelligence (AI) algorithms within the Trauma & Orthopaedics (T&O) literature has greatly increased over the last ten years. One increasingly explored aspect of AI is the automated interpretation of free-text data often prevalent in electronic medical records (known as natural language processing (NLP)). We set out to review the current evidence for applications of NLP methodology in T&O, including assessment of study design and reporting. Methods. MEDLINE, Allied and Complementary Medicine (AMED), Excerpta Medica Database (EMBASE), and Cochrane Central Register of Controlled Trials (CENTRAL) were screened for studies pertaining to NLP in T&O from database inception to 31 December 2023. An additional grey literature search was performed. NLP quality assessment followed the criteria outlined by Farrow et al in 2021 with two independent reviewers (classification as absent, incomplete, or complete). Reporting was performed according to the Synthesis-Without Meta-Analysis (SWiM) guidelines. The review protocol was registered on the Prospective Register of Systematic Reviews (PROSPERO; registration no. CRD42022291714). Results. The final review included 31 articles (published between 2012 and 2021). The most common subspeciality areas included trauma, arthroplasty, and spine; 13% (4/31) related to online reviews/social media, 42% (13/31) to clinical notes/operation notes, 42% (13/31) to radiology reports, and 3% (1/31) to systematic review. According to the reporting criteria, 16% (5/31) were considered good quality, 74% (23/31) average quality, and 6% (2/31) poor quality. The most commonly absent reporting criteria were evaluation of missing data (26/31), sample size calculation (31/31), and external validation of the study results (29/31 papers). Code and data availability were also poorly documented in most studies. Conclusion. Application of NLP is becoming increasingly common in T&O; however, published article quality is mixed, with few high-quality studies. There are key consistent deficiencies in published work relating to NLP which ultimately influence the potential for clinical application. Open science is an important part of research transparency that should be encouraged in NLP algorithm development and reporting. Cite this article: Bone Jt Open 2025;6(3):264–274

Aims

To evaluate the diagnostic characteristics and reliability of radiological methods used to assess scaphoid fracture union through a systematic review and meta-analysis.

Aims

Soft-tissue sarcomas (STSs) are rare cancers with centralized care advocated to consolidate resources and expertise. However, geographical challenges, particularly in countries like Canada, can increase travel distances for patients. The impact of travel distance on sarcoma presentation and outcomes remains unclear, particularly in single-payer healthcare systems with centralized care.

Aims

The primary objective of this study was to compare short-term implant survival between cemented and cementless fixation for the mobile-bearing Oxford medial unicompartmental knee arthroplasty (UKA) across various age groups. The secondary objectives were to compare modes of failure and to evaluate patient-reported outcomes.

Aims

The T1 pelvic angle (T1PA) provides a consistent global measure of sagittal alignment independent of compensatory mechanisms and positional changes. However, it may not explicitly reflect alignment goals that correlate with a lower risk of complications. This study assessed the value of T1PA in achieving sagittal alignment goals in patients with an adult spinal deformity (ASD).

Aims

The risk of mortality after a hip fracture has been extensively investigated, but there is little high-quality information available dealing with the overall risk of complications. The aim of this study was to report the risk of complications in the first 120 days after a hip fracture.

Aims. Core decompression is a commonly performed procedure to treat osteonecrosis of the femoral head (ONFH) prior to femoral head collapse. The aim of the study was to identify the incidence of hip arthroplasty after core decompression and the potential risk factors for conversion through a nationwide population-based study. Methods. Patients who received core decompression for ONFH between 1 January 2009 and 31 December 2018 and were followed up until 31 December 2019 (mean 33 months (0.2 to 132)) were retrieved from Taiwan’s National Health Insurance claims database. A total of 2,918 patients were identified and included in the study. The mean age at the time of core decompression was 46 years (SD 12.5), with a male-to-female ratio of 7:3. The first total hip arthroplasty or hip hemiarthroplasty after the index core decompression was considered as the outcome of conversion to hip arthroplasty. For the analysis of conversion risk, patients’ demographic characteristics, economic status, comorbidities, and data on the type of hospital and surgeons’ experience were included. Results. Overall, 20.05% of patients received a hip arthroplasty within six months following core decompression, with the incidence rising to 60.6% by five years and 66.4% by ten years. Multivariable analysis revealed that patients aged over 40 years (HR 1.18 (95% CI 1.07 to 1.30); p = 0.002), who had a history of alcohol abuse (HR 1.57 (95% CI 1.22 to 2.02); p < 0.001), and had their procedures performed at district-level hospitals (HR 1.13 (95% CI 1.00 to 1.26; p = 0.044), were at increased risk of conversion to hip arthroplasty following core decompression. Conclusion. The five- and ten-year cumulative incidence of conversion to hip arthroplasty after core decompression was 60.6% and 66.4%, respectively. Significant risk factors for conversion to hip arthroplasty included age over 40 years, history of alcohol abuse, and procedures performed at district hospitals. Cite this article: Bone Joint J 2025;107-B(3):308–313

Aims

Adult spinal deformity (ASD) surgery can reduce pain and disability. However, the actual surgical efficacy of ASD in doing so is far from desirable, with frequent complications and limited improvement in quality of life. The accurate prediction of surgical outcome is crucial to the process of clinical decision-making. Consequently, the aim of this study was to develop and validate a model for predicting an ideal surgical outcome (ISO) two years after ASD surgery.

Aims

To assess whether chronic knee pain (CKP) influenced health-related quality of life (HRQoL), knee-specific health, wellbeing, and use of opioid analgesia, and identify variables associated with CKP in patients awaiting knee arthroplasty.

Aims

The aim of this study was to examine the indications for further surgery and the characteristics of the patients within one year of medial unicompartmental knee arthroplasty (mUKA), providing an assessment of everyday clinical practice and outcomes in a high-volume country.

Aims

The conversion of previous hip fracture surgery to total hip arthroplasty (CTHA) can be surgically challenging with unpredictable outcomes; reported complication rates vary significantly. This study aimed to establish the medium-term survival and outcomes of CTHA performed following a previous hip fracture surgery.

Aims

Unicompartmental knee arthroplasty (UKA) is associated with an accelerated recovery, improved functional outcomes, and retention of anatomical knee kinematics when compared to manual total knee arthroplasty (mTKA). UKA is not universally employed by all surgeons as there is a higher revision risk when compared to mTKA. Robotic arm-assisted (ra) UKA enables the surgeon to position the prosthesis more accurately when compared to manual UKA, and is associated with improved functional outcomes and a lower early revision risk. Non-randomized data suggests that, when compared to mTKA, raUKA has a clinically meaningful greater functional benefit. This protocol describes a randomized controlled trial that aims to evaluate the clinical and cost-effectiveness of raUKA compared to mTKA for individuals with isolated medial compartment osteoarthritis (OA).

Aims

In our previous research, we have found that melatonin (MEL) affects the osteoporotic process. By balancing bone remoulding, autophagy is involved in age-related bone loss. However, as a regulator of autophagy, whether MEL influences senile osteoporosis via regulating autophagy remains unclear.

Aims. Machine learning (ML) holds significant promise in optimizing various aspects of total shoulder arthroplasty (TSA), potentially improving patient outcomes and enhancing surgical decision-making. The aim of this systematic review was to identify ML algorithms and evaluate their effectiveness, including those for predicting clinical outcomes and those used in image analysis. Methods. We searched the PubMed, EMBASE, and Cochrane Central Register of Controlled Trials databases for studies applying ML algorithms in TSA. The analysis focused on dataset characteristics, relevant subspecialties, specific ML algorithms used, and their performance outcomes. Results. Following the final screening process, 25 articles satisfied the eligibility criteria for our review. Of these, 60% focused on tabular data while the remaining 40% analyzed image data. Among them, 16 studies were dedicated to developing new models and nine used transfer learning to leverage existing pretrained models. Additionally, three of these models underwent external validation to confirm their reliability and effectiveness. Conclusion. ML algorithms used in TSA demonstrated fair to good performance, as evidenced by the reported metrics. Integrating these models into daily clinical practice could revolutionize TSA, enhancing both surgical precision and patient outcome predictions. Despite their potential, the lack of transparency and generalizability in many current models poses a significant challenge, limiting their clinical utility. Future research should prioritize addressing these limitations to truly propel the field forward and maximize the benefits of ML in enhancing patient care. Cite this article: Bone Jt Open 2025;6(2):126–134

Aims

Autologous bone graft (ABG) is considered the ‘gold standard’ among graft materials for bone regeneration. However, complications including limited availability, donor site morbidity, and deterioration of regenerative capacity over time have been reported. P-15 is a synthetic peptide that mimics the cell binding domain of Type-I collagen. This peptide stimulates new bone formation by enhancing osteogenic cell attachment, proliferation, and differentiation. The objective of this study was to conduct a systematic literature review to determine the clinical efficacy and safety of P-15 peptide in bone regeneration throughout the skeletal system.