Evidence map›Paper›PMID 38800302›Full record

ArticleCureus2024

The Performance of ChatGPT on the American Society for Surgery of the Hand Self-Assessment Examination.

Sebastian D Arango, Jason C Flynn, Jacob Zeitlin, Daniel J Lorenzana, Andrew J Miller, Matthew S Wilson, Adam B Strohl, Lawrence E Weiss, Tristan B Weir

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In one paragraph

Article in Cureus, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

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

  1. Pooled it
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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

9 authors.

Sebastian D ArangoDepartment of Orthopaedic Surgery, Philadelphia Hand to Shoulder Center, Philadelphia, USA.
Jason C FlynnDepartment of Orthopaedic Surgery, Sidney Kimmel Medical College, Philadelphia, USA.
Jacob ZeitlinDepartment of Orthopaedic Surgery, Philadelphia Hand to Shoulder Center, Philadelphia, USA.
Daniel J LorenzanaDepartment of Orthopaedic Surgery, Philadelphia Hand to Shoulder Center, Philadelphia, USA.
Andrew J MillerDepartment of Orthopaedic Surgery, Philadelphia Hand to Shoulder Center, Philadelphia, USA.
Matthew S WilsonDepartment of Orthopaedic Surgery, Philadelphia Hand to Shoulder Center, Philadelphia, USA.
Adam B StrohlDepartment of Orthopaedic Surgery, Philadelphia Hand to Shoulder Center, Philadelphia, USA.
Lawrence E WeissDivision of Orthopaedic Hand Surgery, OAA Orthopaedic Specialists, Allentown, USA.
Tristan B WeirDepartment of Orthopaedic Surgery, Philadelphia Hand to Shoulder Center, Philadelphia, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThis study aims to compare the performance of ChatGPT-3.5 (GPT-3.5) and ChatGPT-4 (GPT-4) on the American Society for Surgery of the Hand (ASSH) Self-Assessment Examination (SAE) to determine their potential as educational tools.

methodsThis study assessed the proportion of correct answers to text-based questions on the 2021 and 2022 ASSH SAE between untrained ChatGPT versions. Secondary analyses assessed the performance of ChatGPT based on question difficulty and question category. The outcomes of ChatGPT were compared with the performance of actual examinees on the ASSH SAE.

resultsA total of 238 questions were included in the analysis. Compared with GPT-3.5, GPT-4 provided significantly more correct answers overall (58.0% versus 68.9%, respectively

conclusionsGPT-4 demonstrated improved performance over GPT-3.5 on the ASSH SAE, especially on more difficult questions. Actual examinees scored higher than both versions of ChatGPT, but the margin was cut in half by GPT-4.

Indexed as

artificial intelligenceasshchatgpthandself-assessment examination

Identifiers

PMID38800302
PMCPMC11126365

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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.