(1) Background: Osteoarthritis (OA) significantly impacts patients’ quality of life and negatively affects public healthcare costs. The aim of this systematic review is to identify the effectiveness of pulsed electromagnetic fields (PEMFs) in OA treatment across different anatomical districts, determining pain reduction and overall improvement in the patient’s quality of life. (2) Methods: In this systematic review following PRISMA guidelines, PubMed and Google Scholar were searched for randomized controlled trials involving patients with osteoarthritis undergoing PEMF therapy. Seventeen studies (1197 patients) were included. (3) Results: PEMF therapy demonstrated positive outcomes across various anatomical districts, primarily in knee osteoarthritis. Pain reduction, assessed through VAS and WOMAC scores, showed significant improvement (60% decrease in VAS, 42% improvement in WOMAC). The treatment duration varied (15 to 90 days), with diverse PEMF devices used. Secondary outcomes included improvements in quality of life, reduced medication usage, and enhanced physical function. (4) Conclusions: Diverse PEMF applications revealed promising results, emphasizing pain reduction and improvement in the quality of life of patients. The variability in the treatment duration and device types calls for further investigation. This review informs future research directions and potential advancements in optimizing PEMF therapies for diverse osteoarthritic manifestations.

Purpose: Robot‐assisted (RA) surgery has transformed total knee arthroplasties (TKA) and unicompartmental knee arthroplasties (UKA) by significantly enhancing the accuracy of prosthetic implantation and reducing complications. Different robotic systems offer unique approaches to assist surgeons during procedures. Methods: This systematic review adhered to Preferred Reporting Items for Systematic Reviews and Meta‐Analyses (PRISMA) guidelines and evaluated the learning curve associated with RA technologies, focusing on their surgical efficacy. A comprehensive literature search identified and analysed studies published since 2010, ultimately selecting 28 relevant articles that addressed robotic techniques in knee arthroplasty. Results: The findings indicate that surgeons generally require an average of 21 procedures to achieve proficiency with robotic techniques. However, the learning curve varies among robotic systems: MAKO requires 15–25 cases, ROSA 20–30 cases and NAVIO 18–28 cases for surgeons to reach proficiency. The MAKO system emerged as the most frequently used (33.3% of studies), followed by ROSA (23.3%) and NAVIO (16.7%). Evidence suggests that the adoption of these robotic systems is associated with reduced operative times and lower rates of postoperative complications, thereby improving overall surgical outcomes. Conclusions: RA arthroplasties present significant advancements in surgical precision and patient outcomes. With targeted investments in training and technology, the adoption of robotic techniques could further increase, ultimately enhancing the quality of orthopaedic care and patient recovery. This review highlights the importance of addressing training needs and resource allocation to fully realise the potential of robotic surgery in knee arthroplasty. Level of Evidence: Not applicable, systematic review.

Osteosarcoma (OS) is the most common primary malignant bone tumor, predominantly affecting adolescents and young adults. Despite advances in surgery and multi-agent chemotherapy, survival rates for metastatic or recurrent OS remain poor, highlighting the need for novel prognostic and therapeutic strategies. This review integrates histopathologic, molecular, and immune perspectives to provide a comprehensive understanding of OS biology in the context of precision medicine. We discuss classic morphologic and radiographic features alongside recent insights into the tumor microenvironment, including the role of tumor-infiltrating lymphocytes, tumor-associated macrophages, and immune checkpoint expression. Emerging molecular markers, such as gene expression–based immune risk signatures, circulating tumor DNA, and gasdermin D overexpression, are evaluated for their prognostic and therapeutic relevance. Key dysregulated pathways, including WNT/β-catenin and JAK/STAT, are examined in relation to metastasis, chemoresistance, and immune evasion, with emphasis on current targeted approaches under development. By bridging histopathology, immunogenomics, and translational research, this work outlines how integrated biomarker assessment can refine patient stratification and guide the implementation of individualized treatment strategies in OS.

Knee arthroplasty, commonly performed to treat osteoarthritis, necessitates precise surgical techniques for optimal outcomes. The introduction of systems such as the Persona Knee System (Zimmer Biomet, Warsaw, IN, USA) has revolutionized knee arthroplasty, promising enhanced precision and better patient outcomes. This study investigates the application of robotic planning specifically in knee prosthetic surgeries, with a focus on Persona Knee System prostheses. We conducted a retrospective analysis of 300 patients who underwent knee arthroplasty using the Persona Knee System between January 2020 and November 2023, including demographic data, surgical parameters, and preoperative imaging. Robotic planning was employed to simulate surgical procedures. The planning process integrated preoperative imaging data from a specific program adopted for conducting digital preoperative planning, and statistical analyses were conducted to assess correlations between patient characteristics and surgical outcomes. Out of 300 patients, 85% presented with minor deformities, validating the feasibility of robotic planning. Robotic planning demonstrated precise prediction of optimal arthroplasty sizes and alignment, closely aligning with preoperative imaging data. This study highlights the potential benefits of robotic planning in knee arthroplasty surgeries, particularly in cases with minor deformities. By leveraging preoperative imaging data and integrating advanced robotic technologies, surgeons can improve precision and efficacy in knee arthroplasty. Moreover, robotic technology allows for a reduced level of constraint in the intraoperative choice between Posterior-Stabilized and Constrained Posterior-Stabilized liners compared with an imageless navigated procedure.

Background: Proximal femur fractures are common in elderly patients and are strongly associated with frailty, increased mortality, and functional decline. The Clinical Frailty Scale (CFS) has emerged as a key predictor of outcomes, influencing perioperative management and rehabilitation strategies. This study aims to evaluate the impact of frailty on mortality, surgical timing, and length of hospital stay (LOS) in patients with hip fractures. Methods: This single-center retrospective study analyzed data from patients aged ≥ 65 years admitted with AO type 31A and 31B proximal femur fractures between 2018 and 2023. Patients were stratified according to CFS scores to assess the relationship between frailty and in-hospital mortality, surgical delay, and LOS. Multivariate logistic regression was performed to identify independent risk factors. Results: Among 2312 patients (median age: 85 years), frailty was a significant predictor of mortality ( p = 0.019). Patients with CFS 7–9 had a 6.6-fold higher mortality risk than those with CFS 1–3. Delays in surgery beyond 48 h were associated with a doubled risk of mortality ( p = 0.009), particularly in frail patients. Prolonged LOS (> 7.1 days) correlated with an increased incidence of infections, cardiovascular events, and mortality ( p < 0.001). Conclusions: Frailty significantly impacts hip fracture prognosis in elderly patients, increasing mortality, complications, and LOS. Early identification of frail patients and prioritization of timely surgery are crucial to improving outcomes. Future studies should explore tailored surgical strategies and optimized rehabilitation protocols to enhance recovery in this high-risk population.

Background: Total hip and knee arthroplasty are common procedures for end-stage osteoarthritis, with rehabilitation playing a central role in functional recovery. Conventional face-to-face programs are often limited by accessibility, costs, and logistical barriers. Digital telerehabilitation has been increasingly investigated as an alternative. This review aims to summarize current evidence on its effectiveness, patient-reported outcomes, satisfaction, and economic impact. Materials and Methods: A narrative review was conducted using Medline, Web of Science, and Scopus up to April 2025. Randomized controlled trials and longitudinal studies evaluating telerehabilitation after total hip or knee arthroplasty were included. Data were extracted on functional performance, pain, autonomy, quality of life, patient satisfaction, and cost-effectiveness. Results: Across multiple RCTs, telerehabilitation produced functional outcomes generally comparable to conventional rehabilitation, with some studies reporting superior short-term improvements. For example, in a retrospective trial, Timed Up and Go improved by −8.0 ± 2.6 s in the digital group versus −4.9 ± 2.5 s with standard care (p < 0.01). Tablet-assisted programs reduced Five Times Sit-to-Stand times to 11.7 s at 6 months compared with 14.7 s in controls (p = 0.05). In hip arthroplasty, digital rehabilitation resulted in higher active flexion (97.4° vs. 89.9°, p = 0.018) and abduction (51.7° vs. 43.8°, p = 0.024). Quality-of-life measures, such as EQ-5D VAS, also showed improvements (82.9 ± 4.3 vs. 68.7 ± 4.6 at 6 months). Some studies reported higher patient satisfaction, for instance, a VR-based RCT found GPE at day 15 of 4.76 ± 0.43 in the intervention group versus 3.96 ± 0.65 in controls (p < 0.001). Conclusions: Telerehabilitation after hip and knee arthroplasty appears to produce short-term functional and patient-reported outcomes comparable to conventional rehabilitation in selected populations. Evidence of superiority is limited and heterogeneous, and long-term effectiveness, equity, and cost-effectiveness remain uncertain. Heterogeneity in protocols and digital literacy barriers highlight the need for standardized guidelines and further independent validation.