Evidence map›Paper›PMID 42491368›Full record

ArticleFrontiers in medicine2026

Application effect and teaching evaluation of case-based learning combined with ChatGPT in ophthalmology clinical teaching.

Yuan Shen, Yuxiao Chen, Mengyao Li, Xiang Gu, Ai Zhuang

Abstract read
In one paragraph

Article in Frontiers in medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Yuan ShenDepartment of Ophthalmology, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Yuxiao ChenShanghai Jiao Tong University School of Medicine, Shanghai, China.
Mengyao LiShanghai Jiao Tong University School of Medicine, Shanghai, China.
Xiang GuDepartment of Ophthalmology, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Ai ZhuangDepartment of Ophthalmology, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: To investigate the effectiveness of a case-based learning (CBL) model integrated with ChatGPT in ophthalmology clinical teaching and to compare its educational outcomes with those of the traditional multimedia lecture-based approach. Methods: A total of 98 fifth-year clinical medicine students from Shanghai Jiao Tong University School of Medicine (Class of 2021) were randomly assigned to an experimental group (CBL + ChatGPT, Results: The experimental group achieved significantly higher theoretical examination scores than the control group (86.4 ± 5.2 vs. 78.9 ± 6.1, Conclusion: The CBL teaching model integrated with ChatGPT significantly improves both objective learning outcomes and subjective satisfaction in ophthalmology clinical education, particularly among students with weaker academic foundations. This teaching approach demonstrates substantial potential for broader implementation in medical education.

Indexed as

case-based learningChatGPTclinical teachingeducational evaluationophthalmology

Identifiers

PMID42491368
PMCPMC13377359

What OpenQuestion holds

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Registered trials

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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.