Evidence map›Paper›PMID 41291689›Full record

Trial reportBMC oral health2025

Efficiency for robotic-assisted extraction of completely impacted supernumerary teeth in children: a randomized controlled trial.

Chen Liu, Tiankai Di, Yujiang Chen, Li-An Wu, Shizhu Bai, Yimin Zhao

Abstract readRandomized Controlled Trial
In one paragraph

Trial report in BMC oral health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

6 authors.

Chen Liu *State Key Laboratory of Oral & Maxillofacial Reconstruction and Regeneration, National Clinical Research Center for Oral Diseases, Shaanxi Key Laboratory of Stomatology, Digital Dentistry Center, School of Stomatology, The Fourth Military Medical University, Xi'an, 710032, P.R. China.
Tiankai Di *State Key Laboratory of Oral & Maxillofacial Reconstruction and Regeneration, National Clinical Research Center for Oral Diseases, Shaanxi Clinical Research Center for Oral Diseases, Department of Pediatric Dentistry, School of Stomatology, The Fourth Military Medical University, Xi'an, Shaanxi, 710032, P.R. China.
Yujiang Chen *State Key Laboratory of Oral & Maxillofacial Reconstruction and Regeneration, National Clinical Research Center for Oral Diseases, Shaanxi Clinical Research Center for Oral Diseases, Department of Pediatric Dentistry, School of Stomatology, The Fourth Military Medical University, Xi'an, Shaanxi, 710032, P.R. China.
Li-An WuState Key Laboratory of Oral & Maxillofacial Reconstruction and Regeneration, National Clinical Research Center for Oral Diseases, Shaanxi Clinical Research Center for Oral Diseases, Department of Pediatric Dentistry, School of Stomatology, The Fourth Military Medical University, Xi'an, Shaanxi, 710032, P.R. China.
Shizhu BaiState Key Laboratory of Oral & Maxillofacial Reconstruction and Regeneration, National Clinical Research Center for Oral Diseases, Shaanxi Key Laboratory of Stomatology, Digital Dentistry Center, School of Stomatology, The Fourth Military Medical University, Xi'an, 710032, P.R. China. baishizhu@foxmail.com.
Yimin ZhaoState Key Laboratory of Oral & Maxillofacial Reconstruction and Regeneration, National Clinical Research Center for Oral Diseases, Shaanxi Key Laboratory of Stomatology, Digital Dentistry Center, School of Stomatology, The Fourth Military Medical University, Xi'an, 710032, P.R. China. zhaoym@fmmu.edu.cn.

Funding

National Clinical Research Center for Oral Diseases LCB202404Natural Science Basic Research Program of Shaanxi Province 2025JC-QYXQ-049
6 · The paper itself

Abstract

objectivesTo evaluate the clinical efficacy of an autonomous robotic system in reducing bone resection volume and operative time for impacted teeth extraction in children, compared to conventional surgical techniques.

methodsA single-blinded randomized controlled trial enrolled 10 pediatric patients impacted teeth. Each participant received robotic surgery (test group) and conventional surgery (control group) on contralateral quadrants. Primary outcomes were bone resection volume ratio (measured via pre-/post-op CBCT segmentation) and operative time. Secondary outcomes included nerve injury incidence and healing outcomes. Differences were analyzed via paired t-tests and generalized estimating equations.

resultsIn this RCT of 10 children with impacted teeth, robotic surgery reduced total operative time by 35% (30.7 ± 6.3 vs. 39.3 ± 4.2 min, p < 0.05) and bone resection time by 65% (8.6 ± 3.3 vs. 24.2 ± 4.8 min, p < 0.001), while eliminating nerve injuries (0 vs. 1 case). Volumetric analysis confirmed 42% less bone resection (56.8 ± 9.2% vs. 98.4 ± 13.2%, p < 0.001) through automated segmentation and Boolean subtraction.

conclusionThis first RCT on autonomous robotic surgery for pediatric impacted teeth confirms its minimal invasiveness, and operative efficiency. The system significantly reduces bone loss while ensuring anatomical safety in complex pediatric cases. CLINICAL SIGNIFICANCE: As the pioneering autonomous robotic platform validated through RCT for pediatric oral surgery, this technology offers a clinically viable solution to minimize surgical trauma and operative risks in children, addressing critical challenges in dentoalveolar procedures. REGISTRY: Chinese Clinical Trial Registry, TRN: ChiCTR2400092822, Registration date: 25 November 2024.

Indexed as

Robotic Surgical ProceduresTooth ExtractionTooth, ImpactedTooth, SupernumeraryAdolescentChildFemaleHumansMaleOperative TimeSingle-Blind MethodTreatment OutcomeImpacted teethMinimally invasive osteotomyOperative efficiency​Randomized controlled trialRobotic-assisted surgery​

Identifiers

PMID41291689
PMCPMC12645750

What OpenQuestion holds

Textmetadata
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.