Evidence map›Paper›PMID 40201411›Full record

ArticleAdvances in medical education and practice2025

The Application of CT 3D Reconstruction and 3D Printing Technology Combined with CBL Teaching Mode in the Clinical Teaching of Joint Orthopedics.

Weiyue Zhang, Yizhang Chen, Xin Huang

Abstract read
In one paragraph

Article in Advances in medical education and practice, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Article
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

3 authors.

Weiyue Zhang *Department of Endocrinology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China.
Yizhang Chen *Department of Orthopaedics, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China.
Xin HuangDepartment of Orthopaedics, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China.ORCID 0000-0002-0413-3340

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: The traditional teaching mode Lecture Based Learning (LBL) often results in student's poor initiative and independent thinking ability and low learning interest. This study aims to investigate the application of CT 3D reconstruction and 3D printing technology combined with CBL teaching mode in the clinical teaching of orthopedics and standardized training of residents. Methods: Sixty residents of our hospital were randomly selected to conduct the teaching of joint orthopedic content in orthopedic surgery courses. They were randomly divided into three groups at the time of admission, which adopted LBL teaching mode, CBL teaching mode, CT 3D reconstruction and 3D printing technology combined with CBL teaching mode, respectively. Results: The theoretical knowledge scores and clinical skills scores of the standardized training students in the CBL+3D printing group were significantly higher than those in the LBL or CBL group. Students in CBL+3D printing group had significantly higher recognition in self-ability evaluation. The overall teaching satisfaction of students in CBL+3D printing group was 85.00% (P < 0.05). Conclusion: The combination of CT 3D reconstruction and 3D printing technology with CBL teaching mode can help the students to master the theoretical knowledge and practical skills in the standardized training of joint orthopedics residents, which can effectively improve the teaching quality.

Indexed as

3D printingCBL teaching modelorthopedic jointsstandardized training of residents

Identifiers

PMID40201411
PMCPMC11977560

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.