Evidence map›Paper›PMID 40462187›Full record

ArticleJournal of orthopaedic surgery and research2025

Is it a pediatric orthopaedic urgency or not? Can ChatGPT answer this question?

Sema Ertan Birsel, Onur Oto, Baris Görgün, İrem Hazal İnan, Ali Şeker, Muharrem İnan

Abstract read
In one paragraph

Article in Journal of orthopaedic surgery and research, 2025. 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

6 authors.

Sema Ertan BirselDepartment of Orthopaedics and Traumatology, Ortopediatri Academy of Pediatric Otrhopaedics, Dikilitaş, Süleyman Seba Kompleksi, Hakkı Yeten Cd. 10/D, Beşiktaş, Istanbul, 34349, Turkey. drsemaertan@gmail.com.
Onur OtoDepartment of Orthopaedics and Traumatology, Ortopediatri Academy of Pediatric Otrhopaedics, Dikilitaş, Süleyman Seba Kompleksi, Hakkı Yeten Cd. 10/D, Beşiktaş, Istanbul, 34349, Turkey.
Baris GörgünDepartment of Orthopaedics and Traumatology, Ortopediatri Academy of Pediatric Otrhopaedics, Dikilitaş, Süleyman Seba Kompleksi, Hakkı Yeten Cd. 10/D, Beşiktaş, Istanbul, 34349, Turkey.
İrem Hazal İnanFaculty of Medicine, Acibadem Mehmet Ali Aydinlar University, Ataşehir, Istanbul, 34725, Turkey.
Ali ŞekerCerrahpasa Faculty of Medicine, Department of Orthopaedics and Traumatology, Istanbul University- Cerrahpasa, Kocamustafapasa, Istanbul, 34303, Turkey.
Muharrem İnanDepartment of Orthopaedics and Traumatology, Ortopediatri Academy of Pediatric Otrhopaedics, Dikilitaş, Süleyman Seba Kompleksi, Hakkı Yeten Cd. 10/D, Beşiktaş, Istanbul, 34349, Turkey.

Funding

none none
6 · The paper itself

Abstract

backgroundArtificial intelligence (AI), particularly large language models (LLMs) such as ChatGPT, is increasingly studied in healthcare. This study evaluated the accuracy and reliability of the ChatGPT in guiding families on whether pediatric orthopaedic symptoms warrant emergency or outpatient care.

methodsFive common pediatric orthopaedic scenarios were developed, and ChatGPT was queried via a family-like language. For each scenario, two questions were asked: an initial general query and a follow-up query regarding the need for emergency versus outpatient care. ChatGPT's responses were evaluated for accuracy by analysing medical literature and online materials, completeness, and conciseness by two independent pediatric orthopaedic consultants, using a modified Likert scale. Responses were classified from "perfect" to "poor" based on total scores.

resultsChatGPT responded to 5 different scenarios commonly encountered in pediatric orthopaedics. The scores ranged from 8 to 10, with most responses requiring minimal clarification. While ChatGPT demonstrated strong diagnostic reasoning and actionable advice, occasional inaccuracies, such as recommending elevation for SCFE, highlighted areas for improvement.

conclusionChatGPT demonstrates potential as a supplemental tool for patient education and triage in pediatric orthopaedics, with generally accurate and accessible responses. These findings echo prior research on ChatGPT's potential and challenges in orthopaedics, emphasizing its role as a supplemental, not standalone, resource. While its strengths in providing accurate and accessible advice are evident, its limitations necessitate further refinement and cautious use under human supervision. Continued advancements in AI may further improve its safe integration into clinical care in pediartic orthopaedics.

Indexed as

Artificial IntelligenceMusculoskeletal DiseasesOrthopedicsPediatricsChildGenerative Artificial IntelligenceHumansReproducibility of ResultsArtificial intelligenceChatGPTPediatric orthopaedics

Identifiers

PMID40462187
PMCPMC12135399

What OpenQuestion holds

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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.