Evidence map›Paper›PMID 39749288›Full record

ArticleJournal of experimental orthopaedics2025

Utility of ChatGPT as a preparation tool for the Orthopaedic In-Training Examination.

Dhruv Mendiratta, Isabel Herzog, Rohan Singh, Ashok Para, Tej Joshi, Michael Vosbikian, Neil Kaushal

Abstract read
In one paragraph

Article in Journal of experimental orthopaedics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. 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

7 authors.

Dhruv MendirattaDepartment of Orthopaedic Surgery Rutgers New Jersey Medical School Newark New Jersey USA.ORCID 0000-0003-2081-1102
Isabel HerzogDepartment of Orthopaedic Surgery Rutgers New Jersey Medical School Newark New Jersey USA.
Rohan SinghDepartment of Orthopaedic Surgery Rutgers New Jersey Medical School Newark New Jersey USA.
Ashok ParaDepartment of Orthopaedic Surgery Rutgers New Jersey Medical School Newark New Jersey USA.
Tej JoshiDepartment of Orthopaedic Surgery Rutgers New Jersey Medical School Newark New Jersey USA.
Michael VosbikianDepartment of Orthopaedic Surgery Rutgers New Jersey Medical School Newark New Jersey USA.
Neil KaushalDepartment of Orthopaedic Surgery Rutgers New Jersey Medical School Newark New Jersey USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: Chat Generative Pre-Trained Transformer (ChatGPT) may have implications as a novel educational resource. There are differences in opinion on the best resource for the Orthopaedic In-Training Exam (OITE) as information changes from year to year. This study assesses ChatGPT's performance on the OITE for use as a potential study resource for residents. Methods: Questions for the OITE data set were sourced from the American Academy of Orthopaedic Surgeons (AAOS) website. All questions from the 2022 OITE were included. All questions, including those with images, were included in the analysis. The questions were formatted in the same manner as presented on the AAOS website, with the question, narrative text and answer choices separated by a line. Each question was evaluated in a new chat session to minimize confounding variables. Answers from ChatGPT were characterized by whether they contained logical, internal or external information. Incorrect responses were further categorized into logical, informational or explicit fallacies. Results: ChatGPT yielded an overall success rate of 48.3% based on the 2022 AAOS OITE. ChatGPT demonstrated the ability to apply logic and stepwise thinking in 67.6% of the questions. ChatGPT effectively utilized internal information from the question stem in 68.1% of the questions. ChatGPT also demonstrated the ability to incorporate external information in 68.1% of the questions. The utilization of logical reasoning ( Conclusions: ChatGPT demonstrates logical, informational and explicit fallacies which, at this time, may lead to misinformation and hinder resident education. Level of Evidence: Level V.

Indexed as

American Academy of Orthopaedic Surgeons (AAOS)Chat Generative Pre‐Trained Transformer (ChatGPT)Orthopaedic In‐Training Exam (OITE)resident education

Identifiers

PMID39749288
PMCPMC11693985

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.