Evidence map›Paper›PMID 40241048›Full record

ArticleBMC musculoskeletal disorders2025

Comparative analysis of ChatGPT-4o mini, ChatGPT-4o and Gemini Advanced in the treatment of postmenopausal osteoporosis.

Rui Liu, Jian Liu, Jia Yang, Zhiming Sun, Hua Yan

Abstract readComparative Study
In one paragraph

Article in BMC musculoskeletal disorders, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 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

5 authors.

Rui Liu *Clinical College of Neurology, Neurosurgery and Neurorehabilitation, Tianjin Medical University, Tianjin, China.
Jian Liu *College of Computer Science, Nankai University, Tianjin, 300350, China.
Jia YangClinical College of Neurology, Neurosurgery and Neurorehabilitation, Tianjin Medical University, Tianjin, China.
Zhiming SunClinical College of Neurology, Neurosurgery and Neurorehabilitation, Tianjin Medical University, Tianjin, China. renzushanxiaoguai@163.com.
Hua YanClinical College of Neurology, Neurosurgery and Neurorehabilitation, Tianjin Medical University, Tianjin, China. yanhua20042007@sina.com.

Funding

zhiming Sun S24YBL069
6 · The paper itself

Abstract

backgroundOsteoporosis is a sex-specific disease. Postmenopausal osteoporosis (PMOP) has been the focus of public health research worldwide. The purpose of this study is to evaluate the quality and readability of artificial intelligence large-scale language models (AI-LLMs): ChatGPT-4o mini, ChatGPT-4o and Gemini Advanced for responses generated in response to questions related to PMOP.

methodsWe collected 48 PMOP frequently asked questions (FAQs) through offline counseling and online medical community forums. We also prepared 24 specific questions about PMOP based on the Management of Postmenopausal Osteoporosis: 2022 ACOG Clinical Practice Guideline No. 2 (2022 ACOG-PMOP Guideline). In this project, the FAQs were imported into the AI-LLMs (ChatGPT-4o mini, ChatGPT-4o, Gemini Advanced) and randomly assigned to four professional orthopedic surgeons, who independently rated the satisfaction of each response via a 5-point Likert scale. Furthermore, a Flesch Reading Ease (FRE) score was calculated for each of the LLMs' responses to assess the readability of the text generated by each LLM.

resultsWhen it comes to addressing questions related to PMOP and the 2022 ACOG-PMOP guidelines, ChatGPT-4o and Gemini Advanced provide more concise answers than ChatGPT-4o mini. In terms of the overall FAQs of PMOP, ChatGPT-4o has a significantly higher accuracy rate than ChatGPT-4o mini and Gemini Advanced. When answering questions related to the 2022 ACOG-PMOP guidelines, ChatGPT-4o mini vs. ChatGPT-4o have significantly higher response accuracy than Gemini Advanced. ChatGPT-4o mini, ChatGPT-4o, and Gemini Advanced all have good levels of self-correction.

conclusionsOur research shows that Gemini Advanced and ChatGPT-4o provide more concise and intuitive answers. ChatGPT-4o responds better in answering frequently asked questions related to PMOP. When answering questions related to the 2022 ACOG-PMOP guidelines, ChatGPT-4o mini and ChatGPT-4o responded significantly better than Gemini Advanced. ChatGPT-4o mini, ChatGPT-4o, and Gemini Advanced have demonstrated a strong ability to self-correct. CLINICAL TRIAL NUMBER: Not applicable.

Indexed as

Artificial IntelligenceOsteoporosis, PostmenopausalAgedComprehensionFemaleGenerative Artificial IntelligenceHumansMiddle AgedSurveys and QuestionnairesArtificial intelligence large-scale Language modelsChatGPT-4oChatGPT-4o miniGemini advancedPostmenopausal osteoporosis

Identifiers

PMID40241048
PMCPMC12001388

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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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.