Evidence map›Paper›PMID 38756958›Full record

ArticlePlastic and reconstructive surgery. Global open2024

Quality of ChatGPT Responses to Frequently Asked Questions in Carpal Tunnel Release Surgery.

Troy B Amen, Kaveh A Torabian, Tejas Subramanian, Brian W Yang, Adriana Liimakka, Duretti Fufa

Abstract read
In one paragraph

Article in Plastic and reconstructive surgery. Global open, 2024. 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.

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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

6 authors.

Troy B AmenFrom Department of Orthopaedic Surgery, Hospital for Special Surgery, New York, N.Y.
Kaveh A TorabianRush Medical College of Rush University, Chicago, Ill.
Tejas SubramanianFrom Department of Orthopaedic Surgery, Hospital for Special Surgery, New York, N.Y.
Brian W YangFrom Department of Orthopaedic Surgery, Hospital for Special Surgery, New York, N.Y.
Adriana LiimakkaHarvard Medical School, Boston, Mass.
Duretti FufaFrom Department of Orthopaedic Surgery, Hospital for Special Surgery, New York, N.Y.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Although demonstrating remarkable promise in other fields, the impact of artificial intelligence (including ChatGPT in hand surgery and medical practice) remains largely undetermined. In this study, we asked ChatGPT frequently asked patient-focused questions surgeons may receive in clinic from patients who have carpel tunnel syndrome (CTS) and evaluated the quality of its output. Methods: Using ChatGPT, we asked 10 frequently asked questions that hand surgeons may receive in the clinic before carpel tunnel release (CTR) surgery. Included questions were generated from the authors' own experiences regarding conservative and operative treatment of CTS. Results: Responses from the following 10 questions were included: (1) What is CTS and what are its signs and symptoms? (2) What are the nonsurgical options for CTS? (3) Should I get surgery for CTS? (4) What is a CTR and how is it preformed? (5) What are the differences between open and endoscopic CTR? (6) What are the risks associated with CTR and how frequently do they occur? (7) Does CTR cure CTS? (8) How much improvement in my symptoms can I expect after CTR? (9) How long is the recovery after CTR? (10) Can CTS recur after surgery? Conclusions: Overall, the chatbot provided accurate and comprehensive information in response to most common and nuanced questions regarding CTS and CTR surgery, all in a way that would be easily understood by many patients. Importantly, the chatbot did not provide patient-specific advice and consistently advocated for consultation with a healthcare provider.

Identifiers

PMID38756958
PMCPMC11098167

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.