Purpose: This study aimed to assess the validity and informational value of TikTok content about epicondylitis. The hypothesis tested herein was that TikTok video content would not provide adequate and valid information. Methods: The term “epicondylitis” was used as a keyword to comprehensively search for TikTok videos, and the first 100 videos that were retrieved were subsequently included for analysis. The duration, number of likes, number of shares and number of views were recorded for each video. Furthermore, the videos were categorized on the basis of their source (medical doctor, physiotherapist, or private user), type of information (physical therapy, anatomy, clinical examination, etiopathogenesis, patient experience, treatment, or other), video content (rehabilitation, education, or patient experience/testimony), and the presence of music or voice. Assessments of video content quality and reliability were conducted using the DISCERN tool, the Journal of the American Medical Association (JAMA) benchmark criteria, and the Global Quality Score (GQS). Results: A total of 100 videos were included in the analysis: 78 (78.0%) were published by physiotherapists, 18 were published by medical doctors (18.0%), and 4 were published by private users (4.0%). Most of the information pertained to physical therapy (75; 75.0%) and most of the content was about rehabilitation (75; 75.0%). The mean length of the videos was 42.51 ± 24.75 seconds; the mean number of views was 193,207.78 ± 1,300,853.86; and the mean number of comments, likes, and shares were 22.43 ± 62.54, 1578.52 ± 8333.11, and 149.87 ± 577.73, respectively. The mean DISCERN score, JAMA score, and GQS were 18.12 ± 5.73, 0.80 ± 0.53, and 1.30 ± 0.52, respectively. Videos posted by medical doctors/private users had higher scores (p < 0.05) than videos posted by physiotherapists. Videos that focused on education or patient experience had higher scores (p < 0.05) than videos based on rehabilitation. Conclusions: TikTok can be an unreliable source of information regarding epicondylitis treatment. It is common to find nonphysicians who share medical advice on the platform, with medical treatments demonstrating the weakest level of supporting evidence. Elbow surgeons should advise their patients that treatment recommendations from TikTok may not align with established guidelines. Level of Evidence: Level IV—Cross-sectional study.

Introduction. The fractures that occurred around trochanteric nails (perinail fractures, PNFs) are becoming a huge challenge for the orthopaedic surgeon. Although presenting some specific critical issues (i.e., patients outcomes and treatment strategies), these fractures are commonly described within peri-implant ones and their treatment was based on periprosthetic fracture recommendations. The knowledge gap about PNFs leads us to convene a research group with the aim to propose a specific classification system to guide the orthopaedic surgeon in the management of these fractures. Materials and Methods. A steering committee, identified by two Italian associations of orthopaedic surgeons, conducted a comprehensive literature review on PNFs to identify the unmet needs about this topic. Subsequently, a panel of experts was involved in a consensus meeting proposing a specific classification system and formulated treatment statements for PNFs. Results and Discussion. The research group considered four PNF main characteristics for the classification proposal: (1) fracture localization, (2) fracture morphology, (3) fracture fragmentation, and (3) healing status of the previous fracture. An alphanumeric code was included to identify each characteristic, allowing to describe up to 54 categories of PNFs, using a 3- to 4-digit code. The proposal of the consensus-based classification reporting the most relevant aspects for PNF treatment might be a useful tool to guide the orthopaedic surgeon in the appropriate management of these fractures.

The incidence of fragility fractures of the acetabulum (FFA) is constantly increasing. Generally, these fractures are related to a fall on the greater trochanter involving the anterior column. The management of FFA is extremely difficult considering both patients’ comorbidities and poor bone quality. Both non-operative and several operative treatment protocols are available, and the choice among them is still ambiguous. The proposed surgical techniques for FFA [namely open reduction and internal fixation (ORIF), percutaneous fixation and total hip arthroplasty (THA)] are associated with a high complication rate. The treatment with the higher early mortality is the ORIF + THA, while the one with the lowest is the non-operative. However, at longer follow-up, this difference dreadfully change is becoming the opposite. Frequently ORIF, percutaneous fixation, and non-operative treatment need a subsequent re-operation through a THA. This latter could be extremely difficult, because of poor bone quality, acetabular mal union/non-union, bone gaps and hardware retention. However, the outcomes of each of the proposed treatment are mostly poor and controverted; therefore, a comprehensive patient evaluation and an accurate fracture description are required to appropriately manage acetabular fracture in the elderly.

Introduction: The treatment of intracapsular femoral neck fractures (FNFs) in the elderly is usually based on hip replacement, both total hip arthroplasty (THA) and hemiarthroplasty (HA). Recently, several tissue-sparing approaches for hip arthroplasty had been described with promising results in terms of hospitalization length, blood loss and dislocation rate. The aim of the present study was to compare the blood loss and the transfusion rate in a cohort of patients with FNF treated using an HA through both the SuperPath (SP) and the traditional posterolateral (PL) approaches. Materials and methods: We retrospectively collected data from patients affected by FNFs between January 2018 and February 2020. All patients with intracapsular FNF treated with a single HA implant (Profemur L, MicroPort Orthopedics Inc., USA) via PL or SP approaches were included. Exclusion criteria were pathological fractures, polytrauma and preoperatively transfused patients. Results: Thirty-five patients were included and analysed in the present study. 17 patients were classified in the SP group, and 18 in the PL one. The rate of antithrombotic therapy was higher in the SP group compared with the PL group [10 (58, 82%) vs 4 (22, 2%)]. While the two groups did not differ in terms of preoperative haemoglobin (Hb), 48 h postoperative Hb and Hb reduction, a significative difference was observed in terms of blood transfusion rate (1 SP vs 9 PL, p = 0.0072). Conclusions: The SuperPath approach in patients with FNF under antithrombotic therapy assures lower transfusion rate, potentially reducing complication rates and improving patients' outcomes.

Background: Total elbow arthroplasty (TEA) has evolved over time from a salvage procedure to a successful treatment of end-stage primary and secondary arthritis. However, the aseptic loosening and the associated reduced survival rate are still concerning. Thus, TEA is typically contraindicated in young and active patients where high-demand activities would promote aseptic loosening. For this reason, postoperative weightlifting limitations are often suggested, yet there is no consensus. The aim of this survey was to collect and analyze the current practice concerning the weightlifting restrictions following elbow arthroplasties among members of the Italian Society of Shoulder and Elbow Surgery (Società Italiana Chirurgia Spalla e Gomito, SICSeG). Methods: An online survey on the lifting restrictions after elbow arthroplasties was submitted to all members of the SICSeG. Results: In total, 36 members of the Italian society completed the survey. Only five consultants (13.8%) have experience with all the implants analyzed, of whom only three have experience with more than 10 implants per year. Concerning the comprehensive number of elbow arthroplasties performed per year, most of the respondents (45.7%) reported fewer than five surgeries per year, whereas only two surgeons claimed more than 20 procedures. Of the 36 respondents, 32 (88.9%) reported lifelong lifting limitations after linked TEA. In detail, these lifting restrictions were 10 lb in 14 responders (38.9%) and 5 lb in 15 responders (41.7%) performing linked TEA. A lifelong lifting limitation gradually decreased after unlinked TEA and hemiarthroplasty (HA) being advised by 82.8% (24/36) and 64.5% (20/36), respectively. Conclusions: To increase implant longevity, most Italian surgeons advise lifting restrictions after TEA. More than 80% of the responders agreed with suggesting lifelong limitations, but a greater variability was found in the amount of weight to which the patients are restricted. Currently, the lack of consensus on the optimal weightlifting restrictions after elbow replacements emphasizes the need for more studies focusing on elbow joint loading during different activities of daily life to improve implant survival rates.

Background: Patients increasingly rely on freely available artificial intelligence tools, such as Chat-GPT, to obtain diagnostic and therapeutic information for different orthopedic conditions. While preliminary studies have evaluated its educational potential, evidence regarding its diagnostic accuracy and treatment recommendations in rotator cuff pathology remains limited. This study aimed to assess the ability of Chat-GPT 5.2 to correctly diagnose rotator cuff tears and propose treatment strategies, comparing its performance with that of expert shoulder surgeons. Materials and Methods: Five clinical cases representing common rotator cuff tear patterns were retrospectively selected in an exploratory pilot analysis. For each case, MRI images, radiologic reports, and clinical information were sequentially provided to Chat-GPT 5.2 using standardized prompts simulating a patient inquiry. Responses were compared with those of three experienced shoulder surgeons. Diagnostic accuracy, treatment recommendations, postoperative management suggestions, and complication descriptions were analyzed. Krippendorff’s alpha was used to assess interobserver agreement. Results: Chat-GPT 5.2 did not correctly diagnose any case using MRI images alone, whereas human examiners reached accurate diagnosis in most cases. Treatment recommendations provided by Chat-GPT were non-specific when based solely on imaging or radiologic reports, but became more defined after a detailed lesion description. Interobserver agreement between Chat-GPT and surgeons regarding treatment was inconsistent across cases. Postoperative rehabilitation advice and complication descriptions were accurate and comprehensive, demonstrating high consistency with published data. Conclusions: The results of this pilot analysis suggest that the use of Chat-GPT 5.2 by patients affected by rotator cuff tears could potentially lead to misdiagnosis and wrong treatment advice, while on the contrary it could be used by physicians to better illustrate postoperative protocols, complications and expected outcomes.