ArticleBMC medical education2025
Visualization analysis of CBL application in Chinese and international medical education based on big data mining.
Article in BMC medical education, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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.
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.
Who cites it
2 citing papers in PubMed.
- Application and practice of a 3D model-driven clinically oriented, three-stage progressive teaching program in histology and embryology.BMC medical education · 2026Article
- Case-based virtual reality simulation for penetrating facial wound suture skill training in medical students: design and pilot study.BMC medical education · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
9 authors.
Funding
Abstract
objectiveTo employ big data mining to provide a visualization analysis of Case-Based Learning (CBL) application in Chinese and international medical education, with the aim of observing the potential applications of CBL.
methodsAll included literature was obtained from the Web of Science (WoS) core collection database, Chinese core periodicals database, Chinese Social Sciences Citation Index (CSSCI), Chinese Science Citation Database of China National Knowledge Infrastructure (CNKI), Wangfang Database, and CQVIP Database. CiteSpace software (6.1.6R6) was used to conduct an in-depth investigation from four perspectives: quantitative analysis of literature, network analysis of co-occurring authors, network analysis of co-occurring research institutions, keyword clustering and burst analysis.
resultsA total of 721 Chinese articles and 537 English articles were included, demonstrating an exponential growth trend. Notably, no author exhibited a prolific publication rate within a short timeframe. Bursting keywords in English literature encompassed topics related to students' learning, teaching curriculum, methods, and location. In contrast, Chinese literature focused on students' learning, teaching methods, courses, application fields as well as national policy and the Ministry of Education of the People's Republic of China (MOE) guidance. The keyword clusters include research on care, community practice, special projects and groups, teaching methods, and capacity development of participants in English literature. For Chinese literature, the clusters include research national policy guidance, teaching reform, mode and evaluation and various disciplines.
conclusionCBL holds immense potential for implementation across diverse disciplines, community practices, and special projects within medical education. The practical application of CBL is continuously evolving in response to changing times and can be seamlessly integrated into different contexts influenced by environmental factors and policies.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.