Browsing by Author "Huri, Gazi"

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Citation - WoS: 9
Citation - Scopus: 11
Can Popular AI Large Language Models Provide Reliable Answers to Frequently Asked Questions About Rotator Cuff Tears
(Elsevier, 2025) Kolac, Ulas Can; Karademir, Orhan Mete; Ayik, Gokhan; Kaymakoglu, Mehmet; Familiari, Filippo; Huri, Gazi
Background: Rotator cuff tears are common upper-extremity injuries that significantly impair shoulder function, leading to pain, reduced range of motion, and a decrease in quality of life. With the increasing reliance on artificial intelligence large language models (AI LLMs) for health information, it is crucial to evaluate the quality and readability of the information provided by these models. Methods: A pool of 50 questions was generated related to rotator cuff tear by querying popular AI LLMs (ChatGPT 3.5, ChatGPT 4, Gemini, and Microsoft CoPilot) and using Google search. After that, responses from the AI LLMs were saved and evaluated. For information quality the DISCERN tool and a Likert Scale was used, for readability the Patient Education Materials Assessment Tool for Printable Materials (PEMAT) Understandability Score and the Flesch-Kincaid Reading Ease Score was used. Two orthopedic surgeons assessed the responses, and discrepancies were resolved by a senior author. Results: Out of 198 answers, the median DISCERN score was 40, with 56.6% considered sufficient. The Likert Scale showed 96% sufficiency. The median PEMAT Understandability score was 83.33, with 77.3% sufficiency, while the Flesch-Kincaid Reading Ease score had a median of 42.05 with 88.9% sufficiency. Overall, 39.8% of the answers were sufficient in both information quality and readability. Differences were found among AI models in DISCERN, Likert, PEMAT Understandability, and Flesch-Kincaid scores. Conclusion: AI LLMs generally cannot offer sufficient information quality and readability. While they are not ready for use in medical field, they show a promising future. There is a necessity for continuous reevaluation of these models due to their rapid evolution. Developing new, comprehensive tools for evaluating medical information quality and readability is crucial for ensuring these models can effectively support patient education. Future research should focus on enhancing readability and consistent information quality to better serve patients. (c) 2024 The Author(s). Published by Elsevier Inc. on behalf of American Shoulder and Elbow Surgeons. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
Citation - WoS: 1
Citation - Scopus: 2
Dark Side of the Shoulder: Suprascapular and Axillary Nerve Compressions
(Springer, 2025) Ayik, Gokhan; Kolac, Ulas Can; Kaymakoglu, Mehmet; Mcfarland, Edward; Huri, Gazi
BackgroundThe suprascapular and axillary nerves can be subject to entrapment due to both their anatomical courses and their anatomical relationships with surrounding anatomical structures around shoulder. These entrapments were previously considered as a diagnosis of exclusion. However, today these pathologies can be diagnosed as primary. The most common complaints of patients are pain and sometimes weakness. The clinician's suspicion is very important in making diagnosis. The patient's history, duration of symptoms, and information such as the movements in which the complaints increase should be questioned carefully and in detail. In physical examination, symmetrical evaluation of both shoulders can provide important information. In addition, cervical and brachial plexus pathologies should be kept in mind. According to the suprascapular and axillary nerve innervations, muscle atrophy should be evaluated during inspection. Range of motion and neurological examination around shoulder should be performed. Since these entrapments can be seen together with rotator cuff tears and labrum pathologies etc., these additional pathologies should also be targeted during evaluation. The evaluation should be expanded with imaging methods such as plain radiographs, ultrasonography, computed tomography, magnetic resonance imaging, electrodiagnostic studies and local anaesthetic injections to the entrapment area. There is no definitive method to diagnose these pathologies. As a result of all these evaluations, a diagnosis can be made. There is no consensus on treatment. In isolated entrapment cases where there are no additional surgical pathologies such as space-occupying lesions, non-operative treatment is primarily recommended. It is generally recommended to try non-operative treatment for at least six months. Surgical treatment is recommended in cases where non-operative treatment fails or in cases where there are additional pathologies requiring surgery or in cases where there is extrinsic compression such as sapce-occupying lesions. In the decision and choice of surgical treatment, it is very important to determine the aetiology precisely. Surgical treatment can be performed open and arthroscopically. Various additional arthroscopic portals and techniques have been described. However, there is no clear consensus on the superiority of these treatments over each other. Although physical therapy is recommended after surgical treatment, there is no consensus on this issue in the literature.AimThis review aims to summarize the diagnosis and management of suprascapular and axillary nerve entrapments in athletes, focusing on clinical presentation, diagnostic methods, treatment options, and current controversies.
Evaluation of Sleep Quality After Reverse Shoulder Arthroplasty in Rotator Cuff Tear Arthropathy Patients
(Springer, 2025) Kaymakoglu, Mehmet; Kolac, Ulas Can; Ayik, Gokhan; Ibik, Serkan; Ozdemir, Erdi; Huri, Gazi
Purpose Sleep disturbance is common in patients with rotator cuff tear arthropathy (RCTA). While reverse shoulder arthroplasty (RSA) is effective for improving pain and function, its effect on sleep quality (SQ) has not been well defined. This study aimed to evaluate the impact of RSA on SQ, recovery trajectory, and clinical outcomes. Methods This retrospective study included patients with RCTA who underwent RSA between 2014 and 2021 with a minimum follow-up of 24 months. SQ and clinical outcomes were assessed using the Visual Analog Scale (VAS), Simple Shoulder Test (SST), American Shoulder and Elbow Surgeons (ASES) score, Pittsburgh Sleep Quality Index (PSQI), and Jenkins Sleep Scale (JSS). Preoperative and postoperative values were compared to evaluate changes over time. Results Forty-six patients (mean age, 68 years) with a mean follow-up of 5.7 years were included. Sleep disturbance was reported by 45.7% of patients preoperatively, decreasing to 26.1% at three months and 21.7% at the last follow-up (p < 0.001). Median PSQI scores improved from 6 preoperatively to 5 at three months and remained stable thereafter. The mean ASES score increased from 40.2 preoperatively to 62.2 postoperatively (p < 0.001), and the average VAS score decreased from 6.0 to 2.0 by six months (p < 0.001). Conclusion RSA leads to improvements in sleep and function in RCTA patients, though gains plateau with time. Future studies using objective sleep measures may further refine rehabilitation outcomes.
Response to the Letter to the Editor Regarding “Can Popular Artificial Intelligence Large Language Models Provide Reliable Answers to Frequently Asked Questions About Rotator Cuff Tears?”
(Elsevier B.V., 2025) Kolac, Ulas Can; Karademir, Orhan Mete; Ayık, Gökhan; Kaymakoğlu, Mehmet; Familiari, Filippo; Huri, Gazi
YouTube Does Not Provide Reliable Information About Glenohumeral Osteoarthritis: A Quantitative Analysis
(2025) Kaymakoglu, Mehmet; Huri, Gazi; Kolaç, Ulaş Can; Ayik, Gokhan; Aksoy, Taha; Familiari, Filippo; Jackson, Garrett
Amaç: Diğer formlarından daha az yaygın olmasına rağmen, glenohumeral osteoartrit yaşlı yetişkinlerin neredeyse beşte birini etkilemektedir. YouTube, hastalar için popüler bir sağlık bilgisi kaynağı haline gelmiştir, ancak hekimler yanıltıcı içerik potansiyeli konusunda giderek daha fazla endişe duymaktadır. Özellikle, YouTube videolarının glenohumeral osteoartrit üzerine kalitesi konusunda literatürde önemli bir boşluk bulunmaktadır. Bu çalışma, bu boşluğu ele almayı ve glenohumeral osteoartrit üzerine çevrimiçi sağlık bilgilerinin güvenilirliğine değerli katkılarda bulunmayı amaçlamaktadır. Gereç ve Yöntemler: YouTube veritabanında \"glenohumeral artrit\", \"omuz artriti\" ve \"omuz osteoartriti\" terimleri kullanılarak sistematik bir arama gerçekleştirildi. Videoların güvenilirliğini, doğruluğunu ve içerik kalitesini değerlendirmek için DISCERN, JAMA Referans Kriterleri ve Küresel Kalite Skalası (GQS) kullanıldı. Video özelliklerinin görüntülenme sayısı, beğeni sayısı, video süresi ile korelasyonu varyans analizi (ANOVA) modeli kullanılarak incelendi. Video kaynaklarına dayalı puan varyasyonları iki örneklem t-testleri ve regresyon analizleri ile değerlendirildi. İnceleyenler arasındaki anlaşma, sınıflararası korelasyon katsayısı ile değerlendirildi. Bulgular: Çalışmaya toplam 102 video dahil edildi. Ortalama video süresi 8.7 dakika idi. Ortalama görüntülenme sayısı 348 ve görüntülenme oranı 0.25 idi. Ortalama beğeni sayısı 46.3'tü. Ortalama DISCERN puanı 44.73 (ICC=0.93), ortalama GQS 2.59 (ICC=0.87) ve ortalama JAMA puanı 2.5 idi. DISCERN sınıflandırmasına göre; videoların %13.6'sı çok yetersiz kalitede, %45'i yetersiz kalitede, %32.3'ü ortalama kalitede ve %7.8'i iyi kalitede idi. Küresel Kalite Skoruna göre, 60 video (%58.9) düşük kalite olarak değerlendirildi. Sonuç: Sonuçlarımız, glenohumeral osteoartrit ile ilgili YouTube videolarının çoğunluğunun içeriğinin yetersiz kalitede olduğunu göstermektedir. Sağlık profesyonelleri bu sınırlamaları tanımalı ve hasta memnuniyetini ve tedavi sonuçlarını olumlu yönde etkilemek için daha yüksek kaliteli eğitim içeriği sağlama konusunda yoğun çaba göstermelidir.