Evidence map›Paper›PMID 38217726›Full record

ArticleEuropean archives of oto-rhino-laryngology : official journal of the European Federation of Oto-Rhino-Laryngological Societies (EUFOS) : affiliated with the German Society for Oto-Rhino-Laryngology - Head and Neck Surgery2024

ChatGPT vs UpToDate: comparative study of usefulness and reliability of Chatbot in common clinical presentations of otorhinolaryngology-head and neck surgery.

Ziya Karimov, Irshad Allahverdiyev, Ozlem Yagiz Agayarov, Dogukan Demir, Elvina Almuradova

Abstract read
In one paragraph

Article in European archives of oto-rhino-laryngology : official journal of the European Federation of Oto-Rhino-Laryngological Societies (EUFOS) : affiliated with the German Society for Oto-Rhino-Laryngology - Head and Neck Surgery, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Article
  2. Large Language Model Responses to Common Otolaryngological Questions: Evaluating Accuracy, Appropriateness, Readability, and Hallucinations.Otolaryngology--head and neck surgery : official journal of American Academy of Otolaryngology-Head and Neck Surgery · 2026
    Observational
  3. Article
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  7. Quality of Information Provided by Artificial Intelligence Chatbots Surrounding the Reconstructive Surgery for Head and Neck Cancer: A Comparative Analysis Between ChatGPT4 and Claude2.Clinical otolaryngology : official journal of ENT-UK ; official journal of Netherlands Society for Oto-Rhino-Laryngology & Cervico-Facial Surgery · 2025
    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

5 authors.

Ziya KarimovMedicine Program, Ege University Faculty of Medicine, 35100, Izmir, Türkiye. dr.ziya.karimov@gmail.com.ORCID http://orcid.org/0000-0001-7237-4878
Irshad AllahverdiyevMedicine Program, Istanbul University, Istanbul Faculty of Medicine, Istanbul, Türkiye.ORCID http://orcid.org/0009-0000-2503-5419
Ozlem Yagiz AgayarovDepartment of Otolaryngology-Head and Neck Surgery, Izmir Tepecik Education and Research Hospital, Health Sciences University, Izmir, Türkiye.ORCID http://orcid.org/0000-0002-8455-4400
Dogukan DemirDepartment of Otolaryngology-Head and Neck Surgery, Izmir Tepecik Education and Research Hospital, Health Sciences University, Izmir, Türkiye.ORCID http://orcid.org/0009-0002-9872-990X
Elvina AlmuradovaDepartment of Medical Oncology, Ege University Faculty of Medicine, Izmir, Türkiye.ORCID http://orcid.org/0000-0002-5551-7731

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeThe usage of Chatbots as a kind of Artificial Intelligence in medicine is getting to increase in recent years. UpToDate® is another well-known search tool established on evidence-based knowledge and is used daily by doctors worldwide. In this study, we aimed to investigate the usefulness and reliability of ChatGPT compared to UpToDate in Otorhinolaryngology and Head and Neck Surgery (ORL-HNS). MATERIALS AND

methodsChatGPT-3.5 and UpToDate were interrogated for the management of 25 common clinical case scenarios (13 males/12 females) recruited from literature considering the daily observation at the Department of Otorhinolaryngology of Ege University Faculty of Medicine. Scientific references for the management were requested for each clinical case. The accuracy of the references in the ChatGPT answers was assessed on a 0-2 scale and the usefulness of the ChatGPT and UpToDate answers was assessed with 1-3 scores by reviewers. UpToDate and ChatGPT 3.5 responses were compared.

resultsChatGPT did not give references in some questions in contrast to UpToDate. Information on the ChatGPT was limited to 2021. UpToDate supported the paper with subheadings, tables, figures, and algorithms. The mean accuracy score of references in ChatGPT answers was 0.25-weak/unrelated. The median (Q1-Q3) was 1.00 (1.25-2.00) for ChatGPT and 2.63 (2.75-3.00) for UpToDate, the difference was statistically significant (p < 0.001). UpToDate was observed more useful and reliable than ChatGPT.

conclusionsChatGPT has the potential to support the physicians to find out the information but our results suggest that ChatGPT needs to be improved to increase the usefulness and reliability of medical evidence-based knowledge.

Indexed as

Artificial IntelligenceOtolaryngologyAlgorithmsFemaleHumansMaleReproducibility of ResultsSoftwareArtificial intelligenceChatbotChatGPTENTOtorhinolaryngology and head and neck surgeryUpToDate

Identifiers

PMID38217726
PMCPMC10942922

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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.