Rushabh Shah, Ammar Amjad, Ethan Mickelson, Jacob Pfeiffer
{"title":"Assessing online PRP injection information: Can ChatGPT serve as a reliable evaluator?","authors":"Rushabh Shah, Ammar Amjad, Ethan Mickelson, Jacob Pfeiffer","doi":"10.1016/j.orthtr.2025.11.003","DOIUrl":"10.1016/j.orthtr.2025.11.003","url":null,"abstract":"<div><h3>Purpose</h3><div>The internet has become a primary source of medical information for patients; however, much of the content available in sports medicine remains unverified, lacking standardized quality assessment. Given the increasing role of artificial intelligence (AI) in healthcare, we sought to evaluate whether ChatGPT could reliably evaluate online sports medicine content. Our study focused on platelet-rich plasma (PRP) injections, a growing non-surgical treatment option for osteoarthritis and sports-related injuries.</div></div><div><h3>Methods</h3><div>We analyzed 68 relevant YouTube videos using two validated health information scoring systems: the DISCERN scale and the JAMA criteria. Human raters and ChatGPT independently graded the videos. Intraclass correlation coefficient and Cohen’s kappa were used to assess inter-rater agreement. Spearman’s rank correlation analysis was performed to evaluate potential systematic bias.</div></div><div><h3>Results</h3><div>Human raters observed a mean DISCERN score of 57.7 (SD 14.0) and mean JAMA score of 2.54 (SD 0.92). ChatGPT observed a mean DISCERN score of 56.6 (SD 9.67) and mean JAMA score of 2.50 (SD 0.93). Inter-rater reliability analysis revealed strong agreement between ChatGPT and human raters (DISCERN ICC = 0.76; JAMA κ = 0.85). However, Spearman’s analysis identified a negative correlation (ρ = −0.75, <em>p</em> < 0.0001) between human and ChatGPT DISCERN scores, indicating that ChatGPT systematically underrated higher-quality videos while overestimating lower-quality ones.</div></div><div><h3>Conclusions</h3><div>ChatGPT shows promise in evaluating online health content, but moderation bias limits claims of validity. While it may aid patient education, these issues highlight the need for further model refinement and validation.</div></div><div><h3>Zielstellung</h3><div>Für Patienten ist das Internet zur Primärquelle für medizinische Informationen geworden, allerdings unterliegt der Großteil dieser Inhalte keinerlei Verifikation oder einer standardisierten Qualitätsbewertung. Vor dem Hintergrund der wachsenden Bedeutung von künstlicher Intelligenz (KI) in der Gesundheitsversorgung untersuchten wir die Frage nach der Zuverlässigkeit von ChatGPT bei der Bewertung von sportmedizinischen Internet-Inhalten. Der Fokus unserer Studie lag hier auf der Injektion von thrombozytenreichem Plasma (PRP-Injektion), einer in zunehmendem Umfang angewendeten konservativen Behandlungsoption bei Osteoarthritis und Sportverletzungen.</div></div><div><h3>Methoden</h3><div>Unter Anwendung von zwei validierten Bewertungssystemen für Gesundheitsinformationen – der DISCERN-Skala und den JAMA-Kriterien – wurden 68 relevante Youtube-Videos analysiert. Die Qualität der Videos wurde unabhängig durch Menschen sowie durch ChatGPT klassifiziert. Zur Bewertung der Beurteilerübereinstimmung wurden der Intraklassen-Korrelationskoeffizient (ICC) sowie Cohens Kappa genutzt. Zur Evaluierung einer potentiellen syste","PeriodicalId":38801,"journal":{"name":"Sports Orthopaedics and Traumatology","volume":"42 1","pages":"Pages 73-80"},"PeriodicalIF":0.0,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147682175","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Videobasierte Analyse von Hamstring-Verletzungen im Frauenfußball","authors":"Amanda Magosch , Sarah Schröter","doi":"10.1016/j.orthtr.2025.12.004","DOIUrl":"10.1016/j.orthtr.2025.12.004","url":null,"abstract":"","PeriodicalId":38801,"journal":{"name":"Sports Orthopaedics and Traumatology","volume":"42 1","pages":"Pages 92-94"},"PeriodicalIF":0.0,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147682169","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Hans Christian S. Vistisen , Mathias Clausen , Rasmus Elsoe , Sinan Mouaayad Abdulaimma Said , Peter Larsen
{"title":"Incidence and epidemiology of knee dislocation","authors":"Hans Christian S. Vistisen , Mathias Clausen , Rasmus Elsoe , Sinan Mouaayad Abdulaimma Said , Peter Larsen","doi":"10.1016/j.orthtr.2025.11.002","DOIUrl":"10.1016/j.orthtr.2025.11.002","url":null,"abstract":"<div><h3>Background</h3><div>The aim of this study was to provide up-to-date information concerning the incidence of KDs. Secondary aims were to report the injury distribution according to the Schenck classification and describe the mode of injury and patients’ basic characteristics.</div></div><div><h3>Materials and methods</h3><div>A cross-sectional, retrospective review of all patients with an ICD10-code suggestive of KD between 1 January 2002 and 31 December 2021 in the XXBLINDEDXX Region. KDs were classified according to Schenck’s classification through manual review of Magnetic Resonance Imaging (MRI) and X-rays. Baseline characteristics, associated injuries and mode of injury were recorded for all patients.</div></div><div><h3>Results</h3><div>A total of 72 KDs, 51 men (71 %) and 21 women (29 %), with a mean age of 38.5 years ±17.7 (range 12–88 years) were included. The overall incidence was 0.6/100,000/year. Vascular injury was observed in 6 % and nerve injury in 14 % of patients. The most common Schenck classification was Type III (tears of both cruciate ligaments and one collateral ligament), accounting for 54 % of all KDs, followed by Type V (multiligamentous injury with an associated periarticular fracture),<!--> <!-->accounting for 19 % of all KDs. The most common mode of injury (MOI) was sport (26 %) followed by motor vehicle operator or passenger (25 %).</div></div><div><h3>Conclusion</h3><div>KD showed an incidence of 0.6/100,000/year. The most common Schenck classification was Type III (tears of both cruciate ligaments and one collateral ligament), accounting for 54 % of all KDs.</div></div><div><h3>Hintergrund</h3><div>Die Studie wurde durchgeführt, um aktuelle Informationen zur Inzidenz von Kniegelenksluxationen (knee dislocation, KD) bereitzustellen. Sekundäre Ziele der Studie waren das Gewinnen von Erkenntnissen zum Auftreten von Begleitverletzungen basierend auf der Klassifikation nach Schenck sowie die Beschreibung von Verletzungsmechanismen und Patientencharakteristika.</div></div><div><h3>Material und Methoden</h3><div>Für den Zeitraum zwischen dem 1. Januar 2002 und 31. Dezember 2021 wurde eine regionsspezifische, sektionsübergreifende, retrospektive Observationsstudie an Patienten durchgeführt, bei denen aufgrund einer per ICD-10-Code definierten Diagnose eine KD vorlag. Die KDs wurden basierend auf der entsprechenden Klassifikation nach Schenck mittels Sichtung von MRI- oder Röntgenaufnahmen eingeordnet. Basischarakteristika, Begleitverletzungen sowie Verletzungsmechanismen wurden für alle Patienten dokumentiert.</div></div><div><h3>Ergebnisse</h3><div>In die Studie wurden 72 Patienten mit KD, davon 51 (71 %) Männer und 21 (29 %) Frauen eingeschlossen. Das mittlere Alter der Teilnehmer lag bei 38,5 ±17,7 Jahren, wobei sich das Altersspektrum zwischen 12 und 88 Jahren bewegte. Die Jahresinzidenz lag bei 0,6/100.000. Bei 6 % der Teilnehmer wurden Gefäßverletzungen und bei 14 % Nervenschädigungen beobachtet. Die mit 54 % ","PeriodicalId":38801,"journal":{"name":"Sports Orthopaedics and Traumatology","volume":"42 1","pages":"Pages 47-53"},"PeriodicalIF":0.0,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147682166","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Muskuloskelettale Besonderheiten und Risiken in verschiedenen Lebensphasen der Athletin: Pubertät, Schwangerschaft und Menopause Teil 1: Pubertät und Menopause","authors":"Nora Wieloch , Milena L. Pachowsky","doi":"10.1016/j.orthtr.2025.12.001","DOIUrl":"10.1016/j.orthtr.2025.12.001","url":null,"abstract":"<div><div>Die Lebensphasen der Pubertät, Schwangerschaft und Menopause sind durch hormonelle Veränderungen und deren Auswirkungen geprägt. Die Würdigung und die individuelle Behandlung von verschiedenen Problematiken in diesen besonderen Phasen im Leben eines Mädchens oder einer Frau stellt uns im klinischen Alltag regelmässig vor spezifische Herausforderungen. Allen drei Lebensphasen ist gemeinsam, dass häufig ein Mangel an wissenschaftlich fundierten Daten, evidenzbasierte Empfehlungen und Behandlungsentscheidungen erschwert. Sport ist in allen Lebensphasen ein zentraler Gesundheitsfaktor. (Leistungs)-Sportlerinnen sollten eine Betreuung erhalten, die die hormonellen Besonderheiten der verschiedenen Lebensphasen individuell berücksichtigt.</div></div><div><div>The stages of puberty, pregnancy, and menopause are characterized by hormonal changes and their effects. Recognizing and treating the various issues that arise during these special phases in a girl’s or woman’s life regularly confronts us with specific challenges in everyday clinical practice. What all three stages have in common is that a lack of scientifically sound data often makes it difficult to provide evidence-based recommendations and treatment decisions. Sport is a key health factor in all stages of life. Female athletes should receive care that takes into account the hormonal characteristics of the different stages of life on an individual basis.</div></div>","PeriodicalId":38801,"journal":{"name":"Sports Orthopaedics and Traumatology","volume":"42 1","pages":"Pages 3-7"},"PeriodicalIF":0.0,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147682372","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Safe the Date – Ankündigung VÄ Symposium","authors":"","doi":"10.1016/S0949-328X(26)00031-1","DOIUrl":"10.1016/S0949-328X(26)00031-1","url":null,"abstract":"","PeriodicalId":38801,"journal":{"name":"Sports Orthopaedics and Traumatology","volume":"42 1","pages":"Page 107"},"PeriodicalIF":0.0,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147682236","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}