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Evaluation of ChatGPT-5 responses to patient-centered questions on stromal vascular fraction for knee osteoarthritis: fair to good quality and content

dc.contributor.authorMercan, Numan
dc.contributor.authorEravsar, Ebubekir
dc.contributor.authorErgin, Musa
dc.contributor.authorCatal, Tevfik
dc.contributor.authorCiftci, Sadettin
dc.contributor.authorAkkaya, Mustafa
dc.date.accessioned2026-10-09T21:50:49Z
dc.date.issued2026
dc.departmentYüksek İhtisas Üniversitesi
dc.description.abstractBackground The global burden of symptomatic knee osteoarthritis (KOA) continues to grow, driving clinical interest in biological treatment options. Stromal vascular fraction (SVF), derived from adipose tissue, has gained attention as a potential therapy for KOA. As patients increasingly utilize large language models (LLMs) like ChatGPTfor health information, this study aimed to evaluate the patient-information quality and readability of AI-generated responses to a curated set of patient-centered questions on SVF therapy for KOA. Methods Thirty patient-centered questions were developed through literature review by two experts and then posed to ChatGPT-5 after asking it to answer from an orthopaedic specialist perspective. Responses from ChatGPT-5 were evaluated by four orthopaedic specialists using three quality instruments: DISCERN, NLAT-AI (assessing five domains: Accuracy, Safety, Appropriateness, Actionability, and Effectiveness), and the Mika et al. scoring system. Readability was assessed using five standard metrics. Results Mean scores were as follows: DISCERN 44.61 +/- 4.94 (Fair); for NLAT-AI domains, Accuracy 3.92 +/- 0.50 (Good), Safety 3.23 +/- 0.78 (Fair), Appropriateness 4.14 +/- 0.32 (Good), Actionability 3.20 +/- 0.67 (Fair), and Effectiveness 4.46 +/- 0.35 (Excellent); NLAT-AI (Total/ sum of five domains) 18.95 +/- 1.93 (Good); Mika et al. 2.45 +/- 0.49 (Fair). Readability metrics indicated an 11th to 12th grade reading level. Conclusion ChatGPT-5 provides fair-to-good quality responses to patient-centered questions about SVF in KOA. The answers are generally effective and clinically appropriate, with good accuracy, and often require only limited additional clarification. However, safety cautions and practical guidance are less consistently covered, and the reading level is relatively high. Further research is needed to clarify its role as an adjunct tool for patient education in this setting.
dc.identifier.doi10.1186/s12891-026-09731-y
dc.identifier.issn1471-2474
dc.identifier.issue1
dc.identifier.orcid0000-0001-5151-6478
dc.identifier.pmid41832448
dc.identifier.scopus2-s2.0-105036684225
dc.identifier.scopusqualityQ2
dc.identifier.urihttps://doi.org/10.1186/s12891-026-09731-y
dc.identifier.urihttps://hdl.handle.net/20.500.12794/3780
dc.identifier.volume27
dc.identifier.wosWOS:001746470300001
dc.identifier.wosqualityQ2
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.indekslendigikaynakPubMed
dc.indekslendigikaynak.digerScience Citation Index Expanded (SCI-EXPANDED)
dc.language.isoen
dc.publisherBmc
dc.relation.ispartofBmc Musculoskeletal Disorders
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.relation.sdgGoal-03: Good Health and Well-Being
dc.rightsinfo:eu-repo/semantics/openAccess
dc.snmzKA_WoS_20260922
dc.subjectArtificial Intelligence
dc.subjectChatgpt
dc.subjectKnee Osteoarthritis
dc.subjectPatient Education
dc.subjectRegenerative Medicine
dc.subjectStromal Vascular Fraction
dc.titleEvaluation of ChatGPT-5 responses to patient-centered questions on stromal vascular fraction for knee osteoarthritis: fair to good quality and content
dc.typeArticle

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