Evidence map›Paper›PMID 41947905›Full record

ArticleJGH open : an open access journal of gastroenterology and hepatology2026

Therapeutic Decisions in Inflammatory Bowel Disease: ChatGPT-4.0 Compared to Medical Expertise.

Helena Loncour, Jennifer Aoun, Alice Hoyois, Vinciane Muls

Abstract read
In one paragraph

Article in JGH open : an open access journal of gastroenterology and hepatology, 2026. 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

4 authors.

Helena LoncourDepartment of Gastroenterology, Hepatopancreatology and Digestive Oncology CHU Saint-Pierre Brussels Belgium.ORCID https://orcid.org/0009-0006-2825-0302
Jennifer AounDepartment of Gastroenterology, Hepatopancreatology and Digestive Oncology CHU Saint-Pierre Brussels Belgium.ORCID https://orcid.org/0000-0002-5538-4668
Alice HoyoisDepartment of Gastroenterology, Hepatopancreatology and Digestive Oncology CHU Saint-Pierre Brussels Belgium.
Vinciane MulsDepartment of Gastroenterology, Hepatopancreatology and Digestive Oncology CHU Saint-Pierre Brussels Belgium.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: With the increasing prevalence of inflammatory bowel disease (IBD) and its complex management, evaluating innovative approaches became essential. Large language models (LLM), such as ChatGPT-4.0, have remarkably advanced, yet their application in IBD management remains unexplored. This study compares therapeutic recommendations generated by ChatGPT-4.0 with those made by IBD specialists, evaluating its potential and limitations in clinical practice. Materials and Methods: This prospective observational study, conducted between September 2024 and March 2025, included 47 cases of IBD patients requiring initiation or modification of biologic therapy. Standardized clinical vignettes were presented to both IBD specialists and ChatGPT-4.0. For each case, three sequential questions were addressed: the choice of the therapeutic class of the treatment, the specific molecule in this class, and if the proposition is a monotherapy or combination therapy. Agreement was measured using the percentage concordance and Cohen's kappa coefficient ( Results: The agreement between the IBD specialists and ChatGPT-4.0 was 76.6% ( Conclusion: This study highlights a promising area of ChatGPT-4.0 application in the therapeutic management of IBD. However, it is not suitable as a standalone or fully reliable resource for decision-making in healthcare. Future development of tailored healthcare GPT integrating European guidelines and experts' feedback may further improve LLM performance.

Identifiers

PMID41947905
PMCPMC13051837

What Socratic holds

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LicenceCC BY-NC-ND
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Registered trials

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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 Socratic graph.