Evidence map›Paper›PMID 41862667›Full record

Observational studyOral and maxillofacial surgery2026

Evaluating the accuracy of ChatGPT-4 generated references in oral and maxillofacial surgery: a preliminary observational study.

Anuj Jain, Yash Merchant

Abstract readObservational Study
PubMed Publisher
In one paragraph

Observational study in Oral and maxillofacial surgery, 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. Review
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.

Anuj JainDepartment of Oral and Maxillofacial Surgery, Geetanjali Dental and Research Institute, Geetanjali University, Eklingpura, Udaipur, Rajasthan, 313001, India. dranujsinghvi@gmail.com.
Yash MerchantDepartment of Oral and Maxillofacial Surgery, Dr. D. Y. Patil Dental College and Hospital, Dr. D. Y. Patil Vidyapeeth, Pune, Pimpri, Maharashtra, 411018, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundLarge language models such as ChatGPT are increasingly used in biomedical writing; however, their ability to generate accurate and verifiable references in oral and maxillofacial surgery (OMS) remains uncertain.

methodsThis cross-sectional observational study evaluated references generated by ChatGPT-4 in response to ten standardized OMS prompts. A total of 500 Vancouver-style references were verified against PubMed, CrossRef, Google Scholar, and publisher databases and classified as accurate, partially correct, or fabricated.

resultsOf the 500 references, 203 (40.6%) were accurate, 165 (33.0%) were partially correct, and 132 (26.4%) were fabricated. Accuracy varied across subspecialties, with the highest accuracy observed in maxillofacial trauma and the lowest in oral pathology and oncology. Inter-reviewer agreement was excellent (κ = 0.87).

conclusionChatGPT-4 demonstrates inconsistent citation accuracy in OMS. AI-generated references should be independently verified prior to scholarly use to maintain academic integrity.

Indexed as

Large Language ModelsSurgery, OralCross-Sectional StudiesGenerative Artificial IntelligenceHumansAcademic integrityArtificial intelligence in medicineBiomedical publishingChatGPTCitation accuracyLarge language models (LLMs)Medical writingOral and maxillofacial surgery (OMS)Reference fabrication

Identifiers

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.