Evidence map›Paper›PMID 42435224›Full record

ArticleInternational urogynecology journal2026

Can ChatGPT Be Trusted for Urologic Patient Education? A Comparative Study of Stress Urinary Incontinence-Related Information From Versions 3.5 and 4.

Chuan Lin, Myung Ki Kim, Sung Chul Kam, Zhao Luo, Yu Seob Shin

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Article in International urogynecology journal, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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.

Chuan Lin *Department of Obstetrics and Gynecology, The Second Affi liated Hospital of Chongqing Medical University, Chongqing, China.ORCID http://orcid.org/0000-0001-6708-2256
Myung Ki Kim *Department of Urology, Jeonbuk National University Medical School, Research Institute of Clinical Medicine of Jeonbuk National University-Biomedical Research Institute of Jeonbuk National University Hospital, Jeonju, Korea.ORCID http://orcid.org/0000-0001-7361-6242
Sung Chul KamDepartment of Urology, Gyeongsang National University College of Medicine, and Institute of Health Sciences of Gyeongsang National University, Jinju, Korea.ORCID http://orcid.org/0000-0001-5403-3623
Zhao LuoDepartment of Urology, Shenzhen Qianhai Taikang Hospital, Shenzhen, China. luozhao614@163.com.ORCID http://orcid.org/0009-0005-7807-6296
Yu Seob ShinDepartment of Urology, Jeonbuk National University Medical School, Research Institute of Clinical Medicine of Jeonbuk National University-Biomedical Research Institute of Jeonbuk National University Hospital, Jeonju, Korea. ball1210@hanmail.net.ORCID http://orcid.org/0000-0002-1126-3821

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introduction and hypothesisThe application of artificial intelligence tools such as ChatGPT in patient education is expanding rapidly. Female stress urinary incontinence (SUI) is a common yet often overlooked urological condition. However, the accuracy, comprehensiveness, and evidence-based reliability of ChatGPT's responses to common SUI-related questions remain unclear.

methodsOn the basis of the AUA/SUFU clinical practice guidelines, 22 frequently asked questions regarding female SUI were developed and input into ChatGPT-3.5 and ChatGPT-4, respectively. Two senior urologists independently evaluated the responses using a 5-point Likert scale for accuracy, comprehensiveness, and relevance. Additionally, the word count of each response was recorded, and the validity of any cited references was verified.

resultsA total of 44 AI-generated responses were analyzed for the 22 SUI-related questions. Both ChatGPT-3.5 and ChatGPT-4 provided high-quality medical information, with accuracy scores of 4.09 and 4.45, respectively (p = 0.097). ChatGPT-4 offered significantly more concise responses (200.55 ± 48.21 words) compared to ChatGPT-3.5 (515.68 ± 198.13 words; p < 0.001). Furthermore, ChatGPT-4 demonstrated a significantly higher proportion of valid citations (72.06% vs. 24.27%, p < 0.001).

conclusionsChatGPT-4 demonstrated strong performance in delivering accurate, concise, and evidence-supported information on female SUI. Future research should expand the scope of evaluation, incorporate patient perspectives, and validate the practical utility and safety of AI tools in real-world clinical settings.

Indexed as

Artificial intelligenceChatGPTCitation validityInformation qualityStress urinary incontinence

Identifiers

PMID42435224

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.