Evidence map›Paper›PMID 40264482›Full record

ArticleArchives of rheumatology2025

Artificial intelligence-generated responses to frequently asked questions on coccydynia: Evaluating the accuracy and consistency of GPT-4o's performance.

Aslinur Keles, Ozge Gulsum Illeez, Berkay Erbagci, Esra Giray

Abstract read
In one paragraph

Article in Archives of rheumatology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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

4 authors.

Aslinur KelesDepartment of Physical Medicine and Rehabilitation, Health Science University, Fatih Sultan Mehmet Training and Research Hospital, İstanbul, Türkiye.ORCID 0000-0003-0651-0557
Ozge Gulsum IlleezDepartment of Physical Medicine and Rehabilitation, Health Science University, Fatih Sultan Mehmet Training and Research Hospital, İstanbul, Türkiye.ORCID 0000-0002-3824-4428
Berkay ErbagciDepartment of Physical Medicine and Rehabilitation, Health Science University, Fatih Sultan Mehmet Training and Research Hospital, İstanbul, Türkiye.ORCID 0009-0006-6113-045X
Esra GirayDepartment of Physical Medicine and Rehabilitation, Health Science University, Fatih Sultan Mehmet Training and Research Hospital, İstanbul, Türkiye.ORCID 0000-0003-3895-4486

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objectives: This study aimed to assess whether GPT-4o's responses to patient-centered frequently asked questions about coccydynia are accurate and consistent when asked at different times and from different accounts. Materials and methods: Questions were collected from medical websites, forums, and patient support groups and posed to GPT-4o. The responses were evaluated by two physiatrists for accuracy and consistency. Responses were categorized: Results: Of the 81 responses, 45.7% were rated as correct and comprehensive, while 49.4% were correct but incomplete. Only 4.9% of the responses contained partially incorrect information, and no responses were completely incorrect. The interreviewer agreement was substantial (kappa=0.67), but 75% of the responses differed between the two rounds. Notably, 34.9% of initially incomplete answers improved in the second round. Conclusion: GPT-4o shows promise in providing accurate and generally reliable information about coccydynia. However, the variability observed in response consistency across repeated queries suggests that while the model is useful for patient education and general inquiries, it may not be suitable for providing specialized clinical knowledge without human oversight.

Indexed as

Artificial intelligenceChatGPT-4ococcydyniacoccyx painlarge language models.

Identifiers

PMID40264482
PMCPMC12010271

What OpenQuestion holds

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LicenceCC BY-NC
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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.