Evidence map›Paper›PMID 40200216›Full record

ArticleBMC medical education2025

Evaluating a preclinical orthodontic training using haptic-enhanced VR simulation system: a longitudinal study.

Luwei Liu, Jinwei Qin, Yongchu Pan, Hua Wang, Xiaoqing Lu, Fengqing Chu, Lin Wang, Aimin Hao, Bin Yan, Siyang Yuan

Abstract read
In one paragraph

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 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. Trial
  2. Article
  3. Review
  4. Review
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

10 authors.

Luwei LiuDepartment of Orthodontics, School of Stomatology, Nanjing Medical University, Nanjing, P.R. China.
Jinwei QinDepartment of Orthodontics, School of Stomatology, Nanjing Medical University, Nanjing, P.R. China.
Yongchu PanDepartment of Orthodontics, School of Stomatology, Nanjing Medical University, Nanjing, P.R. China.
Hua WangDepartment of Orthodontics, School of Stomatology, Nanjing Medical University, Nanjing, P.R. China.
Xiaoqing LuState Key Laboratory Cultivation Base of Research, Prevention and Treatment for Oral Disease (Nanjing Medical University), Nanjing, P.R. China.
Fengqing ChuState Key Laboratory Cultivation Base of Research, Prevention and Treatment for Oral Disease (Nanjing Medical University), Nanjing, P.R. China.
Lin WangDepartment of Orthodontics, School of Stomatology, Nanjing Medical University, Nanjing, P.R. China.
Aimin HaoState Key Laboratory of Virtual Reality Technology and Systems, Beihang University, Beijing, P.R. China.
Bin YanDepartment of Orthodontics, School of Stomatology, Nanjing Medical University, Nanjing, P.R. China. byan@njmu.edu.cn.
Siyang YuanDental Health Services Research Unit, School of Dentistry, University of Dundee, Dundee, Scotland, UK.

Funding

'145' education project of Jiangsu Province D/2021/01/35Nanjing health science and technology development project GBX21336
6 · The paper itself

Abstract

backgroundVirtual medical education has been used in the preclinical training of dentistry. The study aimed to evaluate the effectiveness of orthodontic bracket bonding training using the haptic-enhanced virtual reality simulation system.

methodsTwenty-six orthodontic postgraduates were recruited to attend the preclinical training using the virtual training system, consisting of the Virtual Learning Network Platform (VLNP) and the Virtual Simulation Training and Evaluation System (VSTES). Students were asked to perform the online training on VLNP within one week and the offline section on VSTES once each week for 6 consecutive weeks. Students' training outcomes were assessed using the 3D scanning data of the fixed bracket position before and after the training. Students were asked to provide feedback through a survey to identify their perceived benefits or drawbacks of this system. Student's t-tests or Wilcoxon signed-rank tests were used to compare differences in the outcomes, including the total score and each tooth score, between the pre- and post-training and among each online or offline virtual training session. The level of significance was P < 0.05.

resultsThe final online test scores of 'etching', 'rinsing', 'positioning bracket position', and total items in the online interactive virtual practicing using VLNP were 3-17% higher than those in the formative test (P < 0.05). Seven items of 'cleaning', 'coating acid etchant', 'etching time', 'rinsing off acid etchant', 'rinsing time', 'coating adhesive', 'positioning bracket position' and the total scores were significantly different among six offline results (P < 0.05). With the increased number of practices, the performance gradually improved. All post-training scores of bracket bonding demonstrated significant improvement, showing an increase of approximately 50% compared to pre-training scores (P < 0.05). Most students agreed that this system helped familiarize them with the clinical procedure due to its simulation of the real clinical environment (88.46%) and the availability of time and space for practice without limitation (76.92%). The majority agreed that their improved skills benefited from the offline system, which allowed them to adjust three-dimensional bracket position and receive the real-time feedback.

conclusionsA virtual orthodontic training system with VLNP and VSTES could help students improve their clinical skills of orthodontic bracket bonding during preclinical training.

Indexed as

OrthodonticsSimulation TrainingVirtual RealityClinical CompetenceEducational MeasurementFemaleHumansLongitudinal StudiesMaleOrthodontic BracketsDental educationHaptic simulationOrthodontic bracket bondingPreclinical trainingVirtual reality

Identifiers

PMID40200216
PMCPMC11977912

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.