Evidence map›Paper›PMID 40390860›Full record

ArticleJournal of experimental orthopaedics2025

Assessing information provided via artificial intelligence regarding distal biceps tendon repair surgery.

Suhasini Gupta, Brett D Haislup, Ryan A Hoffman, Anand M Murthi

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
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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

4 authors.

Suhasini GuptaT.H. Chan School of Medicine University of Massachusetts Worcester Massachusetts USA.ORCID https://orcid.org/0000-0001-8221-9070
Brett D HaislupDepartment of Shoulder and Elbow Surgery MedStar Union Memorial Hospital Baltimore Maryland USA.
Ryan A HoffmanDepartment of Shoulder and Elbow Surgery MedStar Union Memorial Hospital Baltimore Maryland USA.
Anand M MurthiDepartment of Shoulder and Elbow Surgery MedStar Union Memorial Hospital Baltimore Maryland USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: The purpose of this study was to analyze the quality, accuracy, reliability and readability of information provided by an Artificial Intelligence (AI) model ChatGPT (Open AI, San Francisco) regarding Distal Biceps Tendon repair surgery. Methods: ChatGPT 3.5 was used to answer 27 commonly asked questions regarding 'distal biceps repair surgery' by patients. These questions were categorized using the Rothwell criteria of Results: The DISCERN score for Conclusion: The answers provided by ChatGPT were a 'good' source in terms of quality assessment, compared to other online resources that do not have citations as an option. The accuracy and reliability of these answers were shown to be low, with nearly a college-graduate level of readability. This indicates that physicians should caution patients when searching ChatGPT for information regarding distal biceps repairs. ChatGPT serves as a promising source for patients to learn about their procedure, although its reliability and readability are disadvantages for the average patient when utilizing the software.

Indexed as

artificial intelligencedistal biceps repairpatient educationtechnology in orthopaedic procedures

Identifiers

PMID40390860
PMCPMC12086791

What OpenQuestion holds

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LicenceCC BY
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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.