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  • ObjectivesLipedema is a chronic disorder characterized by pain and disproportionate fat distribution, and its diagnosis is frequently overlooked. The aim of this study was to evaluate and compare the responses generated by contemporary artificial intelligence models-ChatGPT-5o, Gemini-3, and Perplexity AI-to structured clinical questions developed in accordance with the 2024 S2k Lipedema Guideline. The models were analyzed in terms of clinical accuracy, readability, and reference reliability to assess their performance in delivering guideline-based medical information.MethodsThis cross-sectional and comparative study was conducted by submitting 30 structured clinical questions, prepared on the basis of the relevant guideline, to three large language models. Responses collected on 10 February 2026, were evaluated using a seven-point Likert scale (reliability) and a five-point scale (accuracy). Text readability was assessed using six established indices, including the Flesch Reading Ease Score (FRES), Flesch-Kincaid Grade Level (FKGL), and Gunning Fog Index (GFOG). Reference reliability was examined by analyzing hallucination tendencies as defined in the literature.ResultsA statistically significant difference in reliability was observed among the models (p = .041); Perplexity (4.95 ± 1.20) achieved significantly higher scores than ChatGPT-5o (4.38 ± 1.05) (p = .038). In readability analyses, Perplexity (12.80 ± 2.10) required a significantly higher educational level according to FKGL scores compared to both ChatGPT-5o (p = .041) and Gemini-3 (p = .036). Regarding reference reliability, ChatGPT-5o outperformed Perplexity in source verifiability (p = .031), bibliographic precision (p = .044), and total RHS scores (p = .027), emerging as the most robust model in this domain. No statistically significant differences were found among the models in terms of clinical accuracy and usefulness (p > .05). Inter-rater agreement was excellent (Kappa: 0.92-0.97).ConclusionIn this study, ChatGPT-5o distinguished itself in reference quality, whereas Perplexity demonstrated superior reliability. However, the complex linguistic structures accompanying efforts to maintain high medical accuracy may constitute a significant barrier for individuals with limited e-health literacy. Although these systems show strong potential as medical information resources, they cannot yet replace expert physician oversight in terms of patient safety. A balanced approach between technical reliability and patient-centered simplification remains necessary.

  • BackgroundLipedema is a chronic, progressive adipose tissue disorder affecting mainly women, characterized by bilateral, disproportionate fat accumulation in the lower extremities. The condition is often associated with pain, heaviness, and functional limitations. While the adipose tissue changes in lipedema are well-described, its impact on muscle mass, strength, and functional performance remains underexplored. This study aimed to evaluate the prevalence of sarcopenia and its relationship with lipedema severity.Materials and methodsA cross-sectional observational study was conducted on 48 women with clinically diagnosed lower-extremity lipedema. Diagnosis followed the International Lipoedema Association and German S2k guidelines. Sarcopenia was assessed using a multidimensional approach, including ultrasonographic rectus femoris thickness, handgrip strength, the Five Times Sit-to-Stand Test, and four-m walking speed. The lipedema stage was determined using morphological criteria. Statistical analyses evaluated the relationships between sarcopenia, functional parameters, and lipedema stage.ResultsParticipants had a mean age of 47.2 ± 8.4 years and a BMI of 33.0 ± 4.3 kg/m2. Sarcopenia was identified in 33.3% of participants, with 14.6% classified as severe. Those with sarcopenia exhibited lower rectus femoris thickness and slower walking speed (p < .05). Advancing lipedema stage correlated with reduced muscle thickness, weaker handgrip strength, slower gait, and prolonged Five Times Sit-to-Stand Test duration (p < .05). Stage 3 patients demonstrated the highest prevalence of sarcopenia, indicating progressive impairment in muscle mass and functional performance with disease severity (p < .05). No significant associations were found between age or BMI and muscle parameters (p > .05).ConclusionsSarcopenia is prevalent in women with lower-extremity lipedema and increases with disease stage. Comprehensive musculoskeletal assessment should be integrated into lipedema management to address functional impairment and optimize patient care.

Last update from database: 6/19/26, 7:15 AM (UTC)

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