Evidence map›Paper›PMID 40040520›Full record

ArticleANZ journal of surgery2025

Evaluating the role of AI chatbots in patient education for abdominal aortic aneurysms: a comparison of ChatGPT and conventional resources.

Harry Collin, Chelsea Tong, Abhishekh Srinivas, Angus Pegler, Philip Allan, Daniel Hagley

Abstract readComparative Study
In one paragraph

Article in ANZ journal of surgery, 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

6 authors.

Harry CollinFaculty of Medicine, The University of Queensland, Brisbane, Queensland, Australia.ORCID 0000-0002-5630-6047
Chelsea TongDepartment of Vascular and Endovascular Surgery, Mater Hospital, Brisbane, Queensland, Australia.ORCID 0009-0004-9441-3427
Abhishekh SrinivasDepartment of Vascular and Endovascular Surgery, Northern Hospital, Melbourne, Victoria, Australia.
Angus PeglerDepartment of Vascular and Endovascular Surgery, Princess Alexandra Hospital, Brisbane, Queensland, Australia.
Philip AllanDepartment of Vascular and Endovascular Surgery, Waikato Hospital, Hamilton, New Zealand.ORCID 0000-0002-8645-514X
Daniel HagleyDepartment of Vascular and Endovascular Surgery, Mater Hospital, Brisbane, Queensland, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundsAbdominal aortic aneurysms (AAA) carry significant risks, yet patient understanding is often limited, with online resources typically low quality. ChatGPT, an artificial intelligence (AI) chatbot, presents a new frontier in patient education, but concerns remain about misinformation. This study evaluates the quality of ChatGPT-generated patient information on AAA.

methodsEight patient questions on AAA were sourced from a reputable online resource for patient information funded by the Australian Government's Healthdirect Australia (HDA) website and input into ChatGPT's free (ChatGPT-4o mini) and paid (ChatGPT-4) models. A vascular surgeon evaluated response appropriateness. Readability was assessed using the Flesch-Kincaid test. The Patient Education Materials Assessment Tool (PEMAT) measured understandability and actionability, with responses scoring ≥75% for both considered high-quality.

resultsAll responses were deemed clinically appropriate. Mean response length was longer for ChatGPT than HDA. Readability was at a college level for ChatGPT, while HDA was at a 10th to 12th-grade level. One response was high-quality (generated by paid ChatGPT) with a PEMAT actionability score of ≥75%. Actionability scores were otherwise low across all sources with ChatGPT responses more likely to contain identifiable actions, although these were often not clearly presented. ChatGPT responses were marginally more understandable than HDA.

conclusionsChatGPT-generated information on AAA was appropriate and understandable, outperforming HDA in both aspects. However, AI responses are at a more advanced reading level and lack actionable instructions. AI chatbots show promise as supplemental tools for AAA patient education, but further refinement is needed to enhance their effectiveness in supporting informed decision-making.

Indexed as

Aortic Aneurysm, AbdominalArtificial IntelligencePatient Education as TopicAustraliaComprehensionFemaleGenerative Artificial IntelligenceHumansInternetMaleAAAAIaortic abdominal aneurysmartificial intelligenceChatGPTpatient informationvascular surgery

Identifiers

PMID40040520
PMCPMC11982658

What OpenQuestion holds

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LicenceCC BY-NC
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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.