ArticleMedical science monitor : international medical journal of experimental and clinical research2025
Can ChatGPT Provide Patient-Friendly and Reliable Information on Cervical Cancer Screening? A Study of ChatGPT-Generated Information in Polish.
Article in Medical science monitor : international medical journal of experimental and clinical research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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.
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.
Who cites it
2 citing papers in PubMed.
- Development and Evaluation of an Augmented Artificial Intelligence Model for Urogynecology Queries.International urogynecology journal · 2026Article
- Evaluation and comparison of large language model responses to patient questions after diagnosis of high-risk human papillomavirus infection: an expert-rated digital patient education study.Frontiers in public health · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
BACKGROUND Cervical cancer (CC) mortality remains a global health problem, and women's awareness of the need for regular CC screening is insufficient. In the era of rapid development of artificial intelligence (AI), large language models (LLMs) such as ChatGPT may become an important source of information about health, including women's health and screening. The aim of the study was to assess the quality of ChatGPT-generated medical information on cervical cancer screening (MICC_GPT). MATERIAL AND METHODS A total of 196 MICC_GPT items were assessed. Objective readability was assessed on a scale of 1 to 7 using Jasnopis.pl programming. Subjective assessment of the MICC-GPT on a scale of 1 to 5 was made by 4 independent expert reviewers. RESULTS The average difficulty level of the MICC_GPT was 5.314, and full understanding of the MICC_GPT requires the target audience to have completed at least 15 years of formal education. In the opinion of the expert reviewers, most of the MICC_GPTs (71%) met the criteria of relevance, accuracy, completeness, clarity, coherence, and appropriateness. CONCLUSIONS ChatGPT-generated information in Polish on the topic of cervical cancer screening is accurate, detailed, comprehensive, clear, coherent and appropriate for the target audience, confirming the great potential of ChatGPT in health education, as well as promotion of screening tests and cervical cancer prophylaxis. To reduce the level of difficulty and increase the accessibility of the MICC_GPT for less educated end-users, the MICC_GPT needs to be simplified, especially in terms of specialized medical terminology.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.