Evidence map›Paper›PMID 38489133›Full record

ArticleEndocrine2024

Assessment of ChatGPT's adherence to ETA-thyroid nodule management guideline over two different time intervals 14 days apart: in binary and multiple-choice queries.

Muzaffer Serdar Deniz, Bagdagul Yuksel Guler

Abstract read
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In one paragraph

Article in Endocrine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
19citing 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

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

  1. Pooled it
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  5. Benchmarking next-generation large language models in otorhinolaryngology: a prospective, guideline-anchored, blinded evaluation of ChatGPT-5, Gemini-3, Grok-2, Llama-4, and DeepSeek-4 across case scenarios.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 · 2026
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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

2 authors.

Muzaffer Serdar DenizDepartment of Endocrinology, Sincan Education and Research Hospital, Ankara, Turkey. md.mserdardeniz@gmail.com.ORCID 0000-0002-8905-3955
Bagdagul Yuksel GulerDepartment of Endocrinology, Sincan Education and Research Hospital, Ankara, Turkey.ORCID 0000-0002-8023-2666

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveArtificial intelligence (AI) has significant potential in healthcare, particularly in providing decision-support in specialized domains like thyroid nodule management. This study assesses the effectiveness of ChatGPT-v4, an advanced AI model, in aligning with the European Thyroid Association (ETA) - 2023 guidelines.

methodsThe study utilized a structured questionnaire comprising 100 questions, divided into true/false and multiple-choice formats, reflecting real-world clinical scenarios in thyroid nodule management. These questions encompassed diagnostic criteria, treatment options, follow-up protocols, and patient counseling. ChatGPT response was evaluated for accuracy, consistency, and comprehensiveness using a six-point Likert scale. The assessment occurred initially and was repeated after 14 days.

resultsIn the binary queries, the AI model showed an ability to correct some initially incorrect responses. However, there was a noticeable regression in certain responses. 8 of the 11 previously non-compliant responses remained unchanged, while 3 non-compliant responses were rectified. Conversely, 6 initially compliant answers transitioned to non-compliance after 14 days. In multiple-choice queries, the AI's performance was more consistent. A majority of the responses, 43 (86% of the total), were initially correct and maintained their correctness upon re-assessment. However, 4 responses that were initially incorrect remained unchanged, and 3 correct responses shifted to non-compliance over time.

conclusionChatGPT exhibited improving potential as a clinical support tool in thyroid nodule management altgouh it showed varied performance for binary and multiple-choice questions. CLINICAL

trial registrationN/A.

Indexed as

Guideline AdherenceThyroid NoduleArtificial IntelligenceHumansPractice Guidelines as TopicSurveys and QuestionnairesArtificial IntelligenceChatGPT-v4European Thyroid Association GuidelinesThyroid Nodule Management

Identifiers

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.