Evidence map›Paper›PMID 39497015›Full record

ArticleEndocrine2025

Evaluation of the impact Of ChatGPT support on acromegaly management and patient education.

Ekin Yiğit Köroğlu, Reyhan Ersoy, Muhammed Saçıkara, Fatma Dilek Dellal Kahramanca, Şefika Burçak Polat, Oya Topaloğlu, Bekir Çakır

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Article in Endocrine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 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

7 authors.

Ekin Yiğit KöroğluAnkara Bilkent City Hospital, Endocrinology and Metabolism Department, Üniversiteler Mahallesi, 1604, Cadde No: 9 Çankaya, Ankara, Türkiye. eyigitkoroglu@hotmail.com.ORCID 0000-0003-3895-5817
Reyhan ErsoyAnkara Yıldırım Beyazıt Faculty of Medicine, Endocrinology and Metabolism Department, Üniversiteler Mahallesi, 1604, Cadde No: 9 Çankaya, Ankara, Türkiye.ORCID 0000-0002-7437-1176
Muhammed SaçıkaraAnkara Bilkent City Hospital, Endocrinology and Metabolism Department, Üniversiteler Mahallesi, 1604, Cadde No: 9 Çankaya, Ankara, Türkiye.ORCID 0000-0002-1689-338X
Fatma Dilek Dellal KahramancaAnkara Bilkent City Hospital, Endocrinology and Metabolism Department, Üniversiteler Mahallesi, 1604, Cadde No: 9 Çankaya, Ankara, Türkiye.ORCID 0000-0003-0755-4543
Şefika Burçak PolatAnkara Yıldırım Beyazıt Faculty of Medicine, Endocrinology and Metabolism Department, Üniversiteler Mahallesi, 1604, Cadde No: 9 Çankaya, Ankara, Türkiye.ORCID 0000-0002-7729-5586
Oya TopaloğluAnkara Yıldırım Beyazıt Faculty of Medicine, Endocrinology and Metabolism Department, Üniversiteler Mahallesi, 1604, Cadde No: 9 Çankaya, Ankara, Türkiye.ORCID 0000-0003-2501-935X
Bekir ÇakırAnkara Yıldırım Beyazıt Faculty of Medicine, Endocrinology and Metabolism Department, Üniversiteler Mahallesi, 1604, Cadde No: 9 Çankaya, Ankara, Türkiye.ORCID 0000-0001-7526-8827

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeChatGPT is a widely used artificial intelligence modeling tool. Healthcare is one potential area of use of ChatGPT. This study aimed to test the usability and reliability of ChatGPT in acromegaly, which is less known in society and should be evaluated by a group of specialized physicians.

methodsThe study is designed in two parts. For the first part, 35 questions regarding acromegaly that patients frequently ask were identified, and these questions were asked to ChatGPT. In the second part, four patient examples were presented to ChatGPT using medical terminology. Three experts evaluated ChatGPT's answers to the questions and approaches in case management using 7-point scales in terms of safety, reliability, correctness, and usability.

resultsWhen the ChatGPT answers to the patient's questions were evaluated, a mean score of 6.78 ± 0.55 was given for correctness and 6.69 ± 0.60 for reliability. The mean scores given by the raters for correctness, safety and usability in the evaluation of the cases were as follows: 6.33 ± 0.88, 6.16 ± 0. 71 and 6.08 ± 0.79 points for case 1; 5.35 ± 1.88, 5.29 ± 1.80 and 5.20 ± 1.86 points for case 2; 6.08 ± 0.97, 6.00 ± 0.93 and 5.91 ± 0.82 points for case 3; 6.10 ± 1.29, 6.13 ± 1.30 and 6.16 ± 1.14 points for case 4.

conclusionChatGPT can actively answer the questions of acromegaly patients. Although it is not a reliable source alone in managing patients with acromegaly, it can be a supportive tool for physicians.

Indexed as

AcromegalyArtificial IntelligencePatient Education as TopicAdultFemaleGenerative Artificial IntelligenceHumansMaleMiddle AgedReproducibility of ResultsAcromegalyArtificial intelligenceChatGPTGrowth hormone

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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.