Evidence map›Paper›PMID 41648814›Full record

ArticleiGIE : innovation, investigation and insights2025

Unveiling the effectiveness of Chat-GPT 4.0, an artificial intelligence conversational tool, for addressing common patient queries in gastrointestinal endoscopy.

Giulio Calabrese, Roberta Maselli, Marcello Maida, Federico Barbaro, Rui Morais, Olga Maria Nardone, Emanuele Sinagra, Roberto Di Mitri, Sandro Sferrazza

Abstract read
In one paragraph

Article in iGIE : innovation, investigation and insights, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. 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

9 authors.

Giulio CalabreseGastroenterology and Endoscopy Unit, ARNAS Civico Hospital, Palermo, Italy.
Roberta MaselliEndoscopy Unit, Humanitas Clinical and Research Hospital, IRCCS, Rozzano (MI), Italy.
Marcello MaidaDepartment of Medicine and Surgery, University of Enna "Kore," Enna, Italy.
Federico BarbaroDigestive Endoscopy Unit, Fondazione Policlinico Universitario Agostino Gemelli IRCCS, Università Cattolica del Sacro Cuore di Roma, Center for Endoscopic Research Therapeutics and Training, Roma, Italy.
Rui MoraisGastroenterology Department, Centro Hospitalar Universitário São João, Porto, Portugal.
Olga Maria NardoneGastroenterology, Department of Public Health, University of Naples Federico II, Naples, Italy.
Emanuele SinagraGastroenterology and Endoscopy Unit, Fondazione Istituto G. Giglio, Contrada Pietrapollastra Pisciotto, Cefalù, Italy.
Roberto Di MitriGastroenterology and Endoscopy Unit, ARNAS Civico Hospital, Palermo, Italy.
Sandro SferrazzaGastroenterology and Endoscopy Unit, ARNAS Civico Hospital, Palermo, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background and Aims: Chat Generative Pre-Trained Transformer (Chat-GPT) has proven effective in addressing patient inquiries related to gastrointestinal (GI) disease. We aimed to assess the effectiveness and reliability of Chat-GPT in answering common patients' queries on GI endoscopy. Methods: Eighteen selected patients' queries regarding GI endoscopy were rated on a Likert-type scale by 10 health professionals and 2 non-health professionals on the following features: reliability (1-6), accuracy (1-3), and comprehensibility (1-3). Results: The mean reliability, accuracy, and comprehensibility values were 5.2 ± 1.7, 2.7 ± 0.4, and 2.9 ± 0.2, respectively. Overall, most answers were rated as having a solid level of reliability (94.4%) and accuracy (100%) and fair levels of comprehensibility (61.1%). The physicians considered the tool to be adequate for addressing questions related to clinical practice, except for inquiries regarding bowel prep solutions, medications, and pacemaker management. Conclusions: Chat-GPT 4.0 demonstrated effectiveness in providing patients with informative content about GI endoscopy, even though health professional support remains essential for a comprehensive approach.

Identifiers

PMID41648814
PMCPMC12850834

What OpenQuestion holds

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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 OpenQuestion graph.