Evidence map›Paper›PMID 40606724›Full record

ArticleThe Iowa orthopaedic journal2025

Evaluating if ChatGPT Can Answer Common Patient Questions Compared to OrthoInfo Regarding Lateral Epicondylitis.

Emil Espinal, Alexander Jurayj, Julio Nerys-Figueroa, Michael A Gaudiani, Travis Baes, Jared Mahylis, Stephanie Muh

Abstract readComparative Study
In one paragraph

Article in The Iowa orthopaedic journal, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

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4 · The record

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PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Emil EspinalDepartment of Orthopaedic Surgery, Henry Ford Hospital, Detroit, Michigan, USA.
Alexander JurayjDepartment of Orthopaedic Surgery, Henry Ford Hospital, Detroit, Michigan, USA.
Julio Nerys-FigueroaDepartment of Orthopaedic Surgery, Henry Ford Hospital, Detroit, Michigan, USA.
Michael A GaudianiDepartment of Orthopaedic Surgery, Henry Ford Hospital, Detroit, Michigan, USA.
Travis BaesDepartment of Orthopaedic Surgery, Henry Ford Hospital, Detroit, Michigan, USA.
Jared MahylisDepartment of Orthopaedic Surgery, Henry Ford Hospital, Detroit, Michigan, USA.
Stephanie MuhDepartment of Orthopaedic Surgery, Henry Ford Hospital, Detroit, Michigan, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: As online medical resources become more accessible, patients increasingly consult AI platforms like ChatGPT for health-related information. Our study assessed the accuracy and appropriateness of ChatGPT's responses to common questions about lateral epicondylitis, comparing them against OrthoInfo as a gold standard. Methods: Eight frequently asked questions about lateral epicondylitis from OrthoInfo were selected and presented to ChatGPT at both standard and sixth-grade reading levels. Responses were evaluated for accuracy and appropriateness using a five-point Likert scale, with scores of four or above deemed satisfactory. Evaluations were conducted by two fellowship-trained Shoulder and Elbow surgeons, two Hand surgeons, and one Orthopaedic Sports fellow. We utilized the Flesch-Kincaid test to assess readability, and responses were statistically analyzed using paired t-tests. Results: ChatGPT's responses at the sixth-grade level scored lower in accuracy (mean = 3.9 ± 0.87, p = 0.046) and appropriateness (mean = 3.7 ± 0.92, p = 0.045) compared to the standard level (accuracy = 4.7 ± 0.43, appropriateness = 4.7 ± 0.45). When compared with OrthoInfo, standard responses from ChatGPT showed significantly lower accuracy (mean difference = -0.275, p = 0.004) and appropriateness (mean difference = -0.475, p = 0.016). The Flesch-Kincaid grade level was significantly higher in the standard response group (mean = 14.06, p < 0.001) compared to both OrthoInfo (mean = 8.98) and the sixth-grade responses (mean = 8.48). No significance was noted between the Flesch-Kincaid grades of OrthoInfo and the sixth-grade responses. Conclusion: At a sixth-grade reading level, Chat-GPT provides oversimplified and less accurate information regarding lateral epicondylitis. Although standard level responses are more accurate, they still do not meet the reliability of OrthoInfo and exceed the recommended readability for patient education materials. While ChatGPT cannot be recommended as a sole information source, it may serve as a supplementary resource alongside professional medical consultation.

Indexed as

Patient Education as TopicTennis ElbowFemaleGenerative Artificial IntelligenceHumansMaleMiddle AgedSurveys and QuestionnaireschatGPTlateral epicondylitispatient educationreading level

Identifiers

PMID40606724
PMCPMC12212301

What OpenQuestion holds

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Read underepoch 390

Registered trials

None linked

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.