Objectives: The aim of this study was to translate the Central Sensitization Inventory (CSI) into the Turkish language, to perform a psychometric validation, and to investigate its reliability in patients with chronic spinal pain with an organic origin, patients with fibromyalgia, and pain-free control individuals. Patients and methods: Between April 2016 and February 2017, the translation of the original English version of the CSI into Turkish was performed using the forward-backward translation method. A total of 100 fibromyalgia patients (6 males, 94 females; mean age: 45.0±8.4 years; range, 25 to 60 years), 100 patients with chronic spinal pain with an identified organic origin (CSPO), (10 males, 90 females; mean age: 43.8±9.7 years; range, 21 to 60 years), and 100 healthy controls (8 males, 92 females; mean age: 35.8±10.1 years; range, 25 to 55 years) were included in the study. Demographic characteristics were collected. Test-retest reliability was determined by re-administering the CSI-Turkish (CSI-Turk) two weeks after the first application. Results: The internal consistency (Cronbach's alpha) was found to be 0.92 and the intraclass correlation coefficient was 0.93. Patients with fibromyalgia, a very common central sensitivity syndrome (CSS), had the highest mean CSI-Turk scores, and healthy controls had the lowest. Using the recommended cut-off score of 40 resulted in 87% sensitivity and 90% specificity in distinguishing between fibromyalgia and control individuals. Conclusion: This study suggests that the CSI-Turk can be effectively used as a screening tool to elucidate CS-related symptomology among patients with chronic pain with a high internal consistency, test-retest reliability, sensitivity, and specificity.

The Medical Bulletin of Sisli Etfal Hospital

The aim of this study was to compare the performance of artificial intelligence models ChatGPT-3.5, ChatGPT-4, and Google Bard in answering Physical Medicine and Rehabilitation board-style questions, assessing their capabilities in medical education and potential clinical applications.

This study aimed to investigate the relationship between smartphone use and musculoskeletal pain among healthcare workers of different occupations. The research sought to examine the connection between smartphone habits and the prevalence and severity of musculoskeletal pain, with a focus on work-related and personal smartphone use, physical activity, temporomandibular dysfunction and neck disability. The study utilized a cross-sectional survey design conducted via Google Forms targeting healthcare workers affiliated with Sisli Hamidiye Etfal Training and Research Hospital. The survey comprised 99 questions assessing demographic and professional information, health conditions, smartphone addiction, physical activity level, musculoskeletal pain, and pain-related disability. A total of 207 hospital staff members' responses were included in the analysis. Participants with higher smartphone addiction scores exhibited a significantly younger mean age and increased smartphone usage post-pandemic. No significant differences were found in physical activity levels between groups. However, those with higher addiction scores reported more frequent pain in the jaw and elbows, greater neck disability score, and a higher prevalence of temporomandibular dysfunction. The study also revealed a significant association between smartphone addiction and multi-site musculoskeletal pain. The findings indicate that smartphone addiction among healthcare workers is associated with specific patterns of musculoskeletal pain, particularly in the jaw and elbows, and increased neck disability scores. The study highlights the need for targeted interventions to promote healthier smartphone habits and mitigate musculoskeletal pain among healthcare professionals.