Evidence map›Paper›PMID 40948719›Full record

ArticleCardiovascular diagnosis and therapy2025

Digital clinical teaching of cardiovascular surgery supported by precision imaging and 3D printing technology: a randomized parallel-controlled trial.

Tengyue Zhao, Yuanyuan Wang, Bingjie Wang, Yu Liu, Ziying Chen, Yuming Wu

Abstract read
In one paragraph

Article in Cardiovascular diagnosis and therapy, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors.

Tengyue ZhaoDepartment of Cardiovascular Surgery, The Second Hospital of Hebei Medical University, Shijiazhuang, China.
Yuanyuan WangOffice of Postgraduate Education, The Second Hospital of Hebei Medical University, Shijiazhuang, China.
Bingjie WangDepartment of Anesthesiology, The Third Hospital of Hebei Medical University, Shijiazhuang, China.
Yu LiuDepartment of Cardiovascular Surgery, The Second Hospital of Hebei Medical University, Shijiazhuang, China.
Ziying ChenDepartment of Cardiovascular Surgery, The Second Hospital of Hebei Medical University, Shijiazhuang, China.
Yuming WuDepartment of Physiology, Hebei Medical University, Shijiazhuang, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Cardiovascular surgery demands deep knowledge of the heart's intricate three-dimensional (3D) anatomy, but current teaching methods do not adequately develop students' spatial skills. Advances in precise imaging and 3D printing offer transformative potential for clinical education. In this study, taking the teaching of cardiovascular surgery as an example, we aimed to integrate precision imaging and 3D printing technologies with case-based learning (CBL), problem-based learning (PBL), and team-based learning (TBL). Our objective was to explore digital teaching approaches in clinical surgery and address the limitations of current learning models in spatial visualization training. Methods: This study employed a parallel design randomized controlled trial (RCT) methodology. A total of 80 clinical medicine students from the 2020 cohort, currently undertaking their practicum in the Department of Cardiac Great Vascular Surgery at The Second Hospital of Hebei Medical University, were randomly assigned into two groups: a digital teaching group and a case-, problem-, and team-based learning (C-P-TBL) teaching group, each comprising 40 students. The digital teaching group utilized an innovative digital teaching approach, enhanced by precision imaging and 3D printing technology. In contrast, the C-P-TBL teaching group employed an integrated teaching model combining CBL, PBL, and TBL. The two groups were compared via theoretical and skills assessment, along with the analysis of teaching quality questionnaires and teaching satisfaction metrics, so as to evaluate the incremental benefits conferred by digital tools within the existing teaching framework. Results: The digital teaching group demonstrated superior performance compared to the C-P-TBL teaching group, as evidenced by higher scores in theoretical knowledge (86.28±10.756 Conclusions: The integration of digital technologies, exemplified by precision imaging and 3D printing, with CBL, PBL, and TBL methodologies, has been shown to significantly enhance the spatial visualization skills of medical students. This approach not only improves their theoretical understanding and technical proficiency, but also leads to higher self-assessment of abilities and increased satisfaction with the teaching process. Consequently, this pedagogical strategy merits consideration for widespread implementation in the clinical education of cardiovascular surgery.

Indexed as

cardiovascular surgeryclinical teachingdigitalizationPrecision imaging three-dimensional printing (precision imaging 3D printing)

Identifiers

PMID40948719
PMCPMC12432650

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.