ArticleArthroscopy, sports medicine, and rehabilitation2024
ChatGPT Can Offer Satisfactory Responses to Common Patient Questions Regarding Elbow Ulnar Collateral Ligament Reconstruction.
Article in Arthroscopy, sports medicine, and rehabilitation, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers, 1 of them a synthesis that pooled it.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
31 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Examining the Role of Large Language Models in Orthopedics: Systematic Review.Journal of medical Internet research · 2024Pooled it
- Large language models show distinct multidimensional performance profiles and variable reproducibility in consensus-based bone stress injury.Journal of experimental orthopaedics · 2026Article
- An expert-based assessment of the quality, reliability, understandability, and readability of ChatGPT responses on cerebral palsy.Child's nervous system : ChNS : official journal of the International Society for Pediatric Neurosurgery · 2026Article
- Promising performance of locally deployed large language models for postoperative orthopaedic patient questions: An In Silico analysis.Journal of experimental orthopaedics · 2026Article
- Evaluation of the quality of information provided by ChatGPT on distal biceps repair surgery.Irish journal of medical science · 2026Article
- Assessing The Ability of ChatGPT 5.2 to Answer Patient Questions Regarding Hip Avascular Necrosis.Acta orthopaedica et traumatologica turcica · 2026Article
- Evaluating large language model responses to patient questions on ulnar collateral ligament repair.Clinics in shoulder and elbow · 2026Article
- ChatGPT models provide higher-quality but lower-readability responses than Google Gemini regarding anterior shoulder instability, with no added benefit of the orthopaedic expert plugin.Knee surgery, sports traumatology, arthroscopy : official journal of the ESSKA · 2026Article
- Artificial intelligence models cannot yet replace experts in providing patient education for shoulder and elbow orthopaedic pathologies: a systematic review and meta-analysis.Annals of joint · 2026Article
- Evaluating chat generative pre-trained transformer responses to common patient questions on temporomandibular disorders.Revista da Associacao Medica Brasileira (1992) · 2026Article
- Evaluating the performance of five large language models in answering Delphi consensus questions relating to patellar instability and medial patellofemoral ligament reconstruction.BMC musculoskeletal disorders · 2025Article
- Assessing the accuracy and readability of ChatGPT 4.0's original and simplified responses to common patient questions regarding periacetabular osteotomy.Journal of experimental orthopaedics · 2025Article
- ChatGPT provides high-quality answers to FAQs about high tibial osteotomy despite low inter-rater agreement.Journal of experimental orthopaedics · 2025Article
- Large Language Models Show Comparable Response Performance but Vary in Readability Regarding Patient Questions on Hip Arthroscopy.Arthroscopy, sports medicine, and rehabilitation · 2025Article
- ChatGPT Can Provide Satisfactory Answers to Assessments of Mock Clinical Photos Following Anterior Cruciate Ligament Reconstruction and Rotator Cuff Repair.Arthroscopy, sports medicine, and rehabilitation · 2025Article
- Impact of prompting on large language model performance: ChatGPT-4 performance on the 2023 hand surgery self-assessment examination.Journal of hand and microsurgery · 2025Article
- Patient education strategies in pediatric orthopaedics: using ChatGPT to answer frequently asked questions on scoliosis.Spine deformity · 2025Article
- ChatGPT-Generated Responses Across Orthopaedic Sports Medicine Surgery Vary in Accuracy, Quality, and Readability: A Systematic Review.Arthroscopy, sports medicine, and rehabilitation · 2025Review
- ChatGPT can provide satisfactory answers to patient questions regarding biceps tenodesis.JSES international · 2025Article
- Response to "ChatGPT to answer frequently asked questions on scoliosis: comment".Spine deformity · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Purpose: To determine whether ChatGPT effectively responds to 10 commonly asked questions concerning ulnar collateral ligament (UCL) reconstruction. Methods: A comprehensive list of 90 UCL reconstruction questions was initially created, with a final set of 10 "most commonly asked" questions ultimately selected. Questions were presented to ChatGPT and its response was documented. Responses were evaluated independently by 3 authors using an evidence-based methodology, resulting in a grading system categorized as follows: (1) excellent response not requiring clarification; (2) satisfactory requiring minimal clarification; (3) satisfactory requiring moderate clarification; and (4) unsatisfactory requiring substantial clarification. Results: Six of 10 ten responses were rated as "excellent" or "satisfactory." Of those 6 responses, 2 were determined to be "excellent response not requiring clarification," 3 were "satisfactory requiring minimal clarification," and 1 was "satisfactory requiring moderate clarification." Four questions encompassing inquiries about "What are the potential risks of UCL reconstruction surgery?" "Which type of graft should be used for my UCL reconstruction?" and "Should I have UCL reconstruction or repair?" were rated as "unsatisfactory requiring substantial clarification." Conclusions: ChatGPT exhibited the potential to improve a patient's basic understanding of UCL reconstruction and provided responses that were deemed satisfactory to excellent for 60% of the most commonly asked questions. For the other 40% of questions, ChatGPT gave unsatisfactory responses, primarily due to a lack of relevant details or the need for further explanation. Clinical Relevance: ChatGPT can assist in patient education regarding UCL reconstruction; however, its ability to appropriately answer more complex questions remains to be an area of skepticism and future improvement.
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.