Evidence map›Paper›PMID 39719917›Full record

ArticleJoint diseases and related surgery2025

Evaluation of ChatGPT-4o's answers to questions about hip arthroscopy from the patient perspective.

Gökhan Ayık, Niyazi Ercan, Yunus Demirtaş, Tuğrul Yıldırım, Gökhan Çakmak

Abstract read
In one paragraph

Article in Joint diseases and related surgery, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing 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

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

  1. Pooled it
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  16. Can ChatGPT pass the Turkish Orthopedics and Traumatology Board Examination? Turkish orthopedic surgeons versus artificial intelligence.Ulusal travma ve acil cerrahi dergisi = Turkish journal of trauma & emergency surgery : TJTES · 2025
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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

5 authors.

Gökhan AyıkYüksek İhtisas Üniversitesi Ortopedi ve Travmatoloji Anabilim Dalı, 06530 Çankaya, Ankara, Türkiye. drgayik@gmail.com.
Niyazi Ercan
Yunus Demirtaş
Tuğrul Yıldırım
Gökhan Çakmak

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesThis study aimed to evaluate the responses provided by ChatGPT-4o to the most frequently asked questions by patients regarding hip arthroscopy. MATERIALS AND

methodsIn this cross-sectional survey study, a new Google account without a search history was created to determine the 20 most frequently asked questions about hip arthroscopy via Google. These questions were asked to a new ChatGPT-4o account on June 1, 2024, and the responses were recorded. Ten orthopedic surgeons specializing in sports surgery rated the responses using a rating scale to assess relevance, accuracy, clarity, and completeness. The responses were scored on a scale from 1 to 5, with 1 being the worst and 5 being the best. The interrater reliability assessed via the intraclass correlation coefficient (ICC).

resultsThe lowest score given by the surgeons for any response was 4/5 in each subcategory. The highest mean scores were in accuracy and clarity, followed by relevance, with completeness receiving the lowest scores. The overall mean score was 4.49±0.16. Interrater reliability showed insufficient overall agreement (ICC=0.004, p=0.383), with the highest agreement in clarity (ICC=0.039, p=0.131) and the lowest in accuracy (ICC=-0.019, p=0.688).

conclusionThe study confirms our hypothesis that ChatGPT-4o provides above-average quality responses to frequently asked questions about hip arthroscopy, as evidenced by the high scores in relevance, accuracy, clarity, and completeness. However, it is still advisable to consult orthopedic specialists on the subject, incorporating ChatGPT's suggestions during the final decision-making process.

Indexed as

ArthroscopyHip JointCross-Sectional StudiesFemaleHumansMaleReproducibility of ResultsSurveys and Questionnaires

Identifiers

PMID39719917
PMCPMC11734852

What OpenQuestion holds

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LicenceCC BY-NC
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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.