Evidence map›Paper›PMID 40017652›Full record

ArticlePeerJ2025

Comparing between virtual reality based pre-clinical implantation training and traditional learning methods.

Yangjie Li, Xu Chen, Yuan Ding Huang, Qingqing He, Dize Li, Shanshan Hu, Peng Xu, Tao Chen, Xiongwen Ran

Abstract readComparative Study
In one paragraph

Article in PeerJ, 2025. 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

9 authors.

Yangjie LiStomatological Hospital of Chongqing Medical University, Chongqing Medical University, Chongqing, China.
Xu ChenStomatological Hospital of Chongqing Medical University, Chongqing Medical University, Chongqing, China.
Yuan Ding HuangStomatological Hospital of Chongqing Medical University, Chongqing Medical University, Chongqing, China.
Qingqing HeStomatological Hospital of Chongqing Medical University, Chongqing Medical University, Chongqing, China.
Dize LiStomatological Hospital of Chongqing Medical University, Chongqing Medical University, Chongqing, China.
Shanshan HuStomatological Hospital of Chongqing Medical University, Chongqing Medical University, Chongqing, China.
Peng XuStomatological Hospital of Chongqing Medical University, Chongqing Medical University, Chongqing, China.
Tao ChenStomatological Hospital of Chongqing Medical University, Chongqing Medical University, Chongqing, China.
Xiongwen RanStomatological Hospital of Chongqing Medical University, Chongqing Medical University, Chongqing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: As dental implanting becomes an increasing demand among patients with tooth loss, an efficient and effective training for students is to be necessary. In this case, we anticipate the possible application of virtual reality (VR) technology to pre-clinical implantation training (PCIT) in order to improve the students' learning efficiency and effectiveness. Methods: The study divided 20 subjects into two groups on average-VR based PCIT (experimental group) and traditional PCIT (control group) with the completion of the background survey (BS) before PCITs, to guarantee no apparent backgroud variation including learning of oral implantology and VR technology, learning habits, interests and hobbies, Results: The results show that from T-1 to T-2 period, the score of VR based PCIT increased significantly ( Conclusion: Compared with traditional PCIT, VR based PCIT has obvious influence on enhancing students' knowledge mastery, study willingness and learning efficiency.

Indexed as

Dental ImplantationEducation, DentalLearningVirtual RealityAdultFemaleHumansMaleStudents, DentalYoung AdultImplantation trainingVirtual realityVR based PCIT

Identifiers

PMID40017652
PMCPMC11867032

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.