Evidence map›Paper›PMID 40697891›Full record

ArticleArthroplasty today2025

Exploring ChatGPT's Efficacy in Orthopaedic Arthroplasty Questions Compared to Adult Reconstruction Surgeons.

Benjamin Nieves-Lopez, Clayton Wing, Bryan D Springer, Keith T Aziz

Abstract read
In one paragraph

Article in Arthroplasty today, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 1 pooled it
–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

2 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. 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.

Benjamin Nieves-LopezUniversity of Puerto Rico, Medical Sciences Campus, San Juan, Puerto Rico.
Clayton WingDepartment of Orthopedic Surgery, Mayo Clinic Florida, Jacksonville, FL.
Bryan D SpringerDepartment of Orthopedic Surgery, Mayo Clinic Florida, Jacksonville, FL.
Keith T AzizDepartment of Orthopedic Surgery, Mayo Clinic Florida, Jacksonville, FL.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Chat Generative Pre-trained Transformer (ChatGPT) is a language model designed to conduct conversations utilizing extensive data from the internet. Despite its potential, the utility of ChatGPT in orthopaedic surgery, particularly in arthroplasty, is still being investigated. This study assesses ChatGPT's performance on arthroplasty-related questions in comparison to an Adult Reconstruction Fellow and a Senior level attending. Methods: A total of 299 questions from the Adult Reconstruction self-assessment on OrthoBullets were evaluated using ChatGPT 4. Performance was analyzed across different question categories and compared with the performance of an Adult Reconstruction Fellow and Senior level attending arthroplasty surgeon with a Results: ChatGPT achieved a 66.9% accuracy rate compared to 84.3% and 85.3% obtained by the Fellow and Attending, respectively. No significant differences in performance were observed across question categories. ChatGPT demonstrated better results in text-only compared to image-based questions. Although not statistically significant, ChatGPT showed the highest accuracy rate in questions that included both an X-ray and a clinical picture. Conclusions: ChatGPT performed inferior to an Adult Reconstruction Fellow and Attending and it provided more accurate answers when prompted with text-only questions. These findings suggest that while ChatGPT can serve as a useful supplementary resource for arthroplasty topics, it cannot substitute for the clinical judgment required in detailed assessments. Further research is necessary to optimize and validate the use of artificial intelligence in medical education and patient care.

Indexed as

Adult reconstructionArthroplastyChatGPT 4Orthopaedic education

Identifiers

PMID40697891
PMCPMC12280885

What OpenQuestion holds

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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.