ArticleJSES international2025
ChatGPT can provide satisfactory answers to patient questions regarding biceps tenodesis.
Article in JSES international, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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
3 citing papers in PubMed.
- Evaluating the role of ChatGPT in patient questions regarding drug allergies.The World Allergy Organization journal · 2026Article
- Evaluating large language model responses to patient questions on ulnar collateral ligament repair.Clinics in shoulder and elbow · 2026Article
- Evaluating Artificial Intelligence-Generated Responses to Patient Questions Regarding Orthobiologic Injections.Orthopaedic journal of sports medicine · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Shoulder pain often arises from pathology affecting the long head of the biceps brachii tendon, with biceps tenodesis recognized as a widely-accepted treatment. Research indicates a significant correlation between preoperative expectations and postoperative satisfaction, emphasizing the pivotal role of patient education. Although advancements in artificial intelligence (AI) technology, such as ChatGPT, hold promise for providing comprehensive health-related information, the accuracy can vary. This study aims to assess the quality and accuracy of ChatGPT's responses to patient inquiries about biceps tenodesis, offering insight on AI's contribution to enhancing patients' understanding and expectation management. Methods: A list of the 10 most frequently asked patient questions regarding biceps tenodesis were identified from the websites of various orthopedic institutions. Each question was individually entered into the most current version of ChatGPT at the time of data collection (v3.5), and the responses were recorded. The responses were then reviewed by four board-certified orthopedic surgeons and graded based on two evidence-based rating systems: the ChatGPT response rating system and the AI response metric. Additionally, the reading level required to fully comprehend the responses was calculated using the Flesch-Kincaid Grade Level assessment. Results: Of the 10 responses evaluated, 1 was deemed excellent, requiring no clarification, and 7 were satisfactory, needing minimal clarification according to the ChatGPT response rating system. Two out of 10 responses were rated by surgeons as excellent, clear, comprehensive, and aligned with current literature. Seven responses were deemed good, being mostly clear and complete and in line with current literature. On average, a Flesch-Kincaid score indicated that 18.5 years of education were required to fully comprehend the responses, corresponding to the level of a college graduate. Discussion/Conclusion: Most of the ChatGPT responses can provide satisfactory but limited information to answer patients' questions about biceps tenodesis. The reading level required to comprehend the response was too advanced for the average patient, leading to potential misunderstanding and misinterpretation of the response. Recognizing the limitations of ChatGPT to accurately and comprehensively answer patient questions can help guide surgeons when approaching discussions with patients regarding biceps tenodesis.
Indexed as
Identifiers
What Socratic 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 Socratic graph.