Evidence map›Paper›PMID 41836870›Full record

ArticleProceedings (Baylor University. Medical Center)

Evaluating the usefulness of ChatGPT and Gemini in generating educational content for patients with vitiligo: a comparative cross-sectional study.

Funda Tamer, Muhterem Polat

Abstract read
In one paragraph

Article in Proceedings (Baylor University. Medical Center). 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

2 authors.

Funda TamerDepartment of Dermatology, Gazi University School of Medicine, Ankara, Turkey.ORCID https://orcid.org/0000-0003-4157-5583
Muhterem PolatDepartment of Dermatology, Gazi University School of Medicine, Ankara, Turkey.ORCID https://orcid.org/0000-0001-6758-4782

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: This study aimed to evaluate the usefulness of ChatGPT and Gemini in generating information suitable for developing educational materials for patients with vitiligo. Methods: Information was obtained from ChatGPT and Gemini in response to questions regarding vitiligo derived from the American Academy of Dermatology website. Differences between the groups were analyzed using the Mann-Whitney Results: Author 1 assigned a completeness score of 2 to 6 out of 15 responses generated by ChatGPT. All texts received full scores for accuracy, comprehensibility, and usefulness. Six responses from Gemini were scored 2 for completeness, and 1 response received a score of 2 for comprehensibility; all other evaluations were assigned full scores. Author 2 assigned a completeness score of 2 to 3 responses from each model, and 1 Gemini response was rated 2 for comprehensibility. All other assessments received full scores. The mean Flesch Reading Ease scores for ChatGPT and Gemini were 34.92 ± 12.28 and 31.40 ± 13.33, respectively ( Conclusion: ChatGPT and Gemini provided largely accurate and useful information on vitiligo; however, most responses were difficult to read. The content should be reviewed and refined by dermatologists to ensure adequate readability before being disseminated to patients.

Indexed as

Artificial intelligenceChatGPTvitiligo

Identifiers

PMID41836870
PMCPMC12981569

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.