Evidence map›Paper›PMID 40623317›Full record

ArticleDiseases of the esophagus : official journal of the International Society for Diseases of the Esophagus2025

The potential utility of CHATGPT4.0 as an AI assistant in the education and management of patients with Barrett's esophagus.

Frances Dang, Josh Kwon, Andy Lin, Shoujit Banerjee, Trevor McCracken, Amirali Tavangar, Shravani R Reddy, Alyssa Y Choi, Jennifer Phan, Jeffrey D Mosko and 3 more

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Article in Diseases of the esophagus : official journal of the International Society for Diseases of the Esophagus, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

13 authors.

Frances DangDivision of Gastroenterology and Hepatology, University of California, Irvine, CA, USA.
Josh KwonDivision of Gastroenterology and Hepatology, University of California, Irvine, CA, USA.
Andy LinDepartment of Internal Medicine, University of California, Irvine, CA, USA.
Shoujit BanerjeeDepartment of Internal Medicine, University of California, Irvine, CA, USA.
Trevor McCrackenDepartment of Internal Medicine, University of California, Irvine, CA, USA.
Amirali TavangarDivision of Gastroenterology and Hepatology, University of California, Irvine, CA, USA.
Shravani R ReddyDivision of Gastroenterology and Hepatology, University of California, Irvine, CA, USA.
Alyssa Y ChoiDivision of Gastroenterology, VA Puget Sound Health Care System, Seattle, WA, USA.
Jennifer PhanAdvanced Endoscopy Program, Hoag Digestive Health Institute, Newport Beach, CA, USA.
Jeffrey D MoskoThe Center for Therapeutic Endoscopy and Endoscopic Oncology, St. Michael's Hospital, Toronto, ON, Canada.
Samir C GroverDivision of Gastroenterology, Scarborough Health Network, Scarborough, ON, Canada.
Tyler M BerzinCenter for Advanced Endoscopy, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA.
Jason SamarasenaDivision of Gastroenterology and Hepatology, University of California, Irvine, CA, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Chat Generative Pre-trained Transformer (ChatGPT) has emerged as a new technology for physicians and patients to obtain medical information. Our aim was to assess the ability of ChatGPT 4.0 to deliver high-quality information in response to commonly asked questions and management recommendations for Barrett's esophagus (BE). Twenty-nine questions (14 clinical vignettes and 15 frequently asked questions (FAQ)) on BE were entered into ChatGPT 4.0. Using a 5-point Likert scale, three gastroenterologists with expertise in BE rated the 29 ChatGPT responses for accuracy, completeness, empathy, use of excessive medical jargon, and appropriateness to send to patients. Three separate gastroenterologists generated responses to the same 15 FAQs on BE. A group of blinded patients with BE evaluated both ChatGPT and gastroenterologist responses on quality, clarity, empathy and which of the two responses was preferred. Gastroenterologists rated ChatGPT responses as mostly accurate overall (4.01 out of 5) with 79.3% of responses completely accurate or mostly accurate with minor errors. When compared to gastroenterologist responses, the patient panel rated ChatGPT responses to be of significantly higher quality (4.42 vs. 3.07 out of 5) and empathy (4.33 vs. 2.55 out of 5) (p < 0.0001). In conclusion, ChatGPT 4.0 provides generally accurate and comprehensive information about BE. Patients expressed a clear preference for ChatGPT responses over those of gastroenterologists, finding responses from ChatGPT to be of higher quality and empathy. This study highlights the potential use of ChatGPT 4.0 as an adjunctive tool for physicians to provide real-time, high-quality information about BE to their patients.

Indexed as

Barrett EsophagusPatient Education as TopicAdultAgedEmpathyFemaleGastroenterologistsGastroenterologyHumansMaleMiddle AgedSurveys and Questionnairesaccuracyartificial intelligenceBarrett’s esophagusChatbotgastroesophageal reflux diseaselarge language models

Identifiers

PMID40623317
PMCPMC12233505

What OpenQuestion holds

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LicenceCC BY
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.