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ArticleEuropean archives of oto-rhino-laryngology : official journal of the European Federation of Oto-Rhino-Laryngological Societies (EUFOS) : affiliated with the German Society for Oto-Rhino-Laryngology - Head and Neck Surgery2024

ChatGPT-4 accuracy for patient education in laryngopharyngeal reflux.

Jerome R Lechien, Thomas L Carroll, Molly N Huston, Matthew R Naunheim

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Article in European archives of oto-rhino-laryngology : official journal of the European Federation of Oto-Rhino-Laryngological Societies (EUFOS) : affiliated with the German Society for Oto-Rhino-Laryngology - Head and Neck Surgery, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

16 citing papers in PubMed.

  1. Trial
  2. Article
  3. Assessing ChatGPT Responses to Commonly Asked Questions About Hypoglossal Nerve Stimulation.World journal of otorhinolaryngology - head and neck surgery · 2026
    Article
  4. Interpretable Machine Learning for LPR Risk Estimation: A Single-Center Retrospective Case-Control Study.JGH open : an open access journal of gastroenterology and hepatology · 2026
    Article
  5. Evaluation of ChatGPT-4o as a text-based clinical decision support tool for junior otolaryngology residents: A randomized controlled trial.European archives of oto-rhino-laryngology : official journal of the European Federation of Oto-Rhino-Laryngological Societies (EUFOS) : affiliated with the German Society for Oto-Rhino-Laryngology - Head and Neck Surgery · 2026
    Article
  6. Can a large language model inform patients about auditory brainstem implants?European archives of oto-rhino-laryngology : official journal of the European Federation of Oto-Rhino-Laryngological Societies (EUFOS) : affiliated with the German Society for Oto-Rhino-Laryngology - Head and Neck Surgery · 2026
    Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. [Treatment status and progress of laryngopharyngeal reflux disease].Lin chuang er bi yan hou tou jing wai ke za zhi = Journal of clinical otorhinolaryngology head and neck surgery · 2025
    Article
  12. Artificial intelligence in otorhinolaryngology: current trends and application areas.European archives of oto-rhino-laryngology : official journal of the European Federation of Oto-Rhino-Laryngological Societies (EUFOS) : affiliated with the German Society for Oto-Rhino-Laryngology - Head and Neck Surgery · 2025
    Review
  13. Article
  14. Accuracy of ChatGPT responses on tracheotomy for patient education.European archives of oto-rhino-laryngology : official journal of the European Federation of Oto-Rhino-Laryngological Societies (EUFOS) : affiliated with the German Society for Oto-Rhino-Laryngology - Head and Neck Surgery · 2024
    Article
  15. Generative artificial intelligence in otolaryngology-head and neck surgery editorial: be an actor of the future or follower.European archives of oto-rhino-laryngology : official journal of the European Federation of Oto-Rhino-Laryngological Societies (EUFOS) : affiliated with the German Society for Oto-Rhino-Laryngology - Head and Neck Surgery · 2024
    Article
  16. Article
4 · The record

Corrections and comments

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

4 authors.

Jerome R LechienResearch Committee, Young Otolaryngologists of the International Federation of Otorhinolaryngological Societies (IFOS), Paris, France. Jerome.Lechien@umons.ac.be.ORCID http://orcid.org/0000-0002-0845-0845
Thomas L CarrollDivision of Otolaryngology-Head and Neck Surgery, Brigham and Women's Hospital, Department of Otolaryngology-Head and Neck Surgery, Harvard Medical School, Boston, MA, USA.
Molly N HustonDepartment of Otolaryngology, Washington University School of Medicine in St. Louis, St. Louis, MO, USA.
Matthew R NaunheimResearch Committee, Young Otolaryngologists of the International Federation of Otorhinolaryngological Societies (IFOS), Paris, France.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionChatbot Generative Pre-trained Transformer (ChatGPT) is an artificial intelligence-powered language model chatbot able to help otolaryngologists in practice and research. The ability of ChatGPT in generating patient-centered information related to laryngopharyngeal reflux disease (LPRD) was evaluated.

methodsTwenty-five questions dedicated to definition, clinical presentation, diagnosis, and treatment of LPRD were developed from the Dubai definition and management of LPRD consensus and recent reviews. Questions about the four aforementioned categories were entered into ChatGPT-4. Four board-certified laryngologists evaluated the accuracy of ChatGPT-4 with a 5-point Likert scale. Interrater reliability was evaluated.

resultsThe mean scores (SD) of ChatGPT-4 answers for definition, clinical presentation, additional examination, and treatments were 4.13 (0.52), 4.50 (0.72), 3.75 (0.61), and 4.18 (0.47), respectively. Experts reported high interrater reliability for sub-scores (ICC = 0.973). The lowest performances of ChatGPT-4 were on answers about the most prevalent LPR signs, the most reliable objective tool for the diagnosis (hypopharyngeal-esophageal multichannel intraluminal impedance-pH monitoring (HEMII-pH)), and the criteria for the diagnosis of LPR using HEMII-pH.

conclusionChatGPT-4 may provide adequate information on the definition of LPR, differences compared to GERD (gastroesophageal reflux disease), and clinical presentation. Information provided upon extra-laryngeal manifestations and HEMII-pH may need further optimization. Regarding the recent trends identifying increasing patient use of internet sources for self-education, the findings of the present study may help draw attention to ChatGPT-4's accuracy on the topic of LPR.

Indexed as

Laryngopharyngeal RefluxArtificial IntelligenceEndoscopyEsophageal pH MonitoringHumansPatient Education as TopicReproducibility of ResultsArtificial intelligenceChatbotChatGPTHead neck surgeryLaryngopharyngealOtolaryngologyReferenceReflux

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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.