Evidence map›Paper›PMID 37410934›Full record

ArticleThe American journal of gastroenterology2023

Evaluation of the Potential Utility of an Artificial Intelligence Chatbot in Gastroesophageal Reflux Disease Management.

Jacqueline B Henson, Jeremy R Glissen Brown, Joshua P Lee, Amit Patel, David A Leiman

Open access · greenAbstract read
In one paragraph

Article in The American journal of gastroenterology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
30citing papers in PubMed, 2 pooled it
11.4field-weighted citation impact, top 1% of its field
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

30 citing papers in PubMed, 2 syntheses or guidelines pooled it, 41 citations in OpenAlex.

  1. Pooled it
  2. Large Language Models in Gastroenterology: Systematic Review.Journal of medical Internet research · 2024
    Pooled it
  3. Article
  4. Therapeutic Decisions in Inflammatory Bowel Disease: ChatGPT-4.0 Compared to Medical Expertise.JGH open : an open access journal of gastroenterology and hepatology · 2026
    Article
  5. Article
  6. Review
  7. Article
  8. The potential utility of CHATGPT4.0 as an AI assistant in the education and management of patients with Barrett's esophagus.Diseases of the esophagus : official journal of the International Society for Diseases of the Esophagus · 2025
    Article
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  10. Article
  11. Article
  12. Review
  13. Article
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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

5 authors at 1 institution in 1 country.

Jacqueline B HensonDivision of Gastroenterology, Department of Medicine, Duke University School of Medicine, Durham, North Carolina, USA.ORCID 0000-0003-3488-6615
Jeremy R Glissen BrownDivision of Gastroenterology, Department of Medicine, Duke University School of Medicine, Durham, North Carolina, USA.
Joshua P LeeDivision of Gastroenterology, Department of Medicine, Duke University School of Medicine, Durham, North Carolina, USA.
Amit PatelDivision of Gastroenterology, Department of Medicine, Duke University School of Medicine, Durham, North Carolina, USA.
David A LeimanDivision of Gastroenterology, Department of Medicine, Duke University School of Medicine, Durham, North Carolina, USA.
Duke University · US

Funding

DUKE TRAINING GRANT IN DIGESTIVE DISEASES AND NUTRITIONT32DK007568 · NIDDK · DUKE UNIVERSITY · PI Katherine Garman, Rodger A. Liddle · 1988 to 2026
$5.6M
NIDDK NIH HHS T32 DK007568
6 · The paper itself

Abstract

introductionArtificial intelligence chatbots could serve as an information resource for patients and a tool for clinicians. Their ability to respond appropriately to questions regarding gastroesophageal reflux disease is unknown.

methodsTwenty-three prompts regarding gastroesophageal reflux disease management were submitted to ChatGPT, and responses were rated by 3 gastroenterologists and 8 patients.

resultsChatGPT provided largely appropriate responses (91.3%), although with some inappropriateness (8.7%) and inconsistency. Most responses (78.3%) contained at least some specific guidance. Patients considered this a useful tool (100%). DISCUSSION: ChatGPT's performance demonstrates the potential for this technology in health care, although also its limitations in its current state.

Indexed as

GastroenterologistsGastroesophageal RefluxArtificial IntelligenceHumansSoftware

Identifiers

PMID37410934
PMCPMC10834834
OpenAlexW4383312504

What OpenQuestion holds

Textmetadata
LicenceTDM
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.