Evidence map›Paper›PMID 39853713›Full record

ArticleDental traumatology : official publication of International Association for Dental Traumatology2025

Evaluation of Information Provided by ChatGPT Versions on Traumatic Dental Injuries for Dental Students and Professionals.

Zeynep Öztürk, Cenkhan Bal, Beyza Nur Çelikkaya

Abstract read
In one paragraph

Article in Dental traumatology : official publication of International Association for Dental Traumatology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

  1. New Frontiers in Dental Traumatology: Innovation, Prevention, and Clinical Practice.Dental traumatology : official publication of International Association for Dental Traumatology · 2026
    Article
  2. Evaluating Guideline Adherence in Gemini-Powered Dental Trauma Workflows: Standalone Gemini Chat vs. Document-Grounded NotebookLM.Dental traumatology : official publication of International Association for Dental Traumatology · 2026
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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

3 authors.

Zeynep ÖztürkDepartment of Pediatric Dentistry, Dentistry Faculty, Bolu Abant İzzet Baysal University, Bolu, Turkey.ORCID 0000-0003-1791-1401
Cenkhan BalDepartment of Pediatric Dentistry, Gülhane Dentistry Faculty, Health Sciences University, Ankara, Turkey.ORCID 0000-0002-1205-276X
Beyza Nur ÇelikkayaDepartment of Pediatric Dentistry, Dentistry Faculty, Bolu Abant İzzet Baysal University, Bolu, Turkey.ORCID 0009-0004-3593-269X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND/

aimThe use of AI-driven chatbots for accessing medical information is increasingly popular among educators and students. This study aims to assess two different ChatGPT models-ChatGPT 3.5 and ChatGPT 4.0-regarding their responses to queries about traumatic dental injuries, specifically for dental students and professionals. MATERIAL AND

methodsA total of 40 questions were prepared, divided equally between those concerning definitions and diagnosis and those on treatment and follow-up. The responses from both ChatGPT versions were evaluated on several criteria: quality, reliability, similarity, and readability. These evaluations were conducted using the Global Quality Scale (GQS), the Reliability Scoring System (adapted DISCERN), the Flesch Reading Ease Score (FRES), the Flesch-Kincaid Reading Grade Level (FKRGL), and the Similarity Index. Normality was checked with the Shapiro-Wilk test, and variance homogeneity was assessed using the Levene test.

resultsThe analysis revealed that ChatGPT 3.5 provided more original responses compared to ChatGPT 4.0. According to FRES scores, both versions were challenging to read, with ChatGPT 3.5 having a higher FRES score (39.732 ± 9.713) than ChatGPT 4.0 (34.813 ± 9.356), indicating relatively better readability. There were no significant differences between the ChatGPT versions regarding GQS, DISCERN, and FKRGL scores. However, in the definition and diagnosis section, ChatGPT 4.0 had a statistically higher quality score than ChatGPT 3.5. In contrast, ChatGPT 3.5 provided more original answers in the treatment and follow-up section. For ChatGPT 4.0, the readability and similarity rates for the definition and diagnosis section were higher than those for the treatment and follow-up section. No significant differences were observed between ChatGPT 3.5's DISCERN, FRES, FKRGL, and similarity index measurements by topic.

conclusionsBoth ChatGPT versions offer high-quality and original information, though they present challenges in readability and reliability. They are valuable resources for dental students and professionals but should be used in conjunction with additional sources of information for a comprehensive understanding.

Indexed as

DentistsStudents, DentalTooth InjuriesComprehensionEducation, DentalGenerative Artificial IntelligenceHumansReproducibility of ResultsSurveys and QuestionnairesChatGPTqualitytraumatic dental injury

Identifiers

PMID39853713
PMCPMC12260124

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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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.