Evidence map›Paper›PMID 39286173›Full record

ArticleHeliyon2024

Digital robot-assisted minimally invasive impacted tooth extraction: A case report.

Lin-Zi Han, Hang Wang, Qun-Li Guan, Yin-Hui Yang, Xiao-Ni Li, Yang Yu, Yao-Zhong Wang

Abstract readCase Reports
In one paragraph

Article in Heliyon, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Expert consensus on the management of third molar health.International journal of oral science · 2026
    Review
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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

7 authors.

Lin-Zi HanDepartment of Oral and Maxillofacial Surgery, Qingdao Stomatological Hospital Affiliated to Qingdao University, 266001, China.
Hang WangDepartment of Oral and Maxillofacial Surgery, Qingdao Stomatological Hospital Affiliated to Qingdao University, 266001, China.
Qun-Li GuanDepartment of Stomatology, The Affiliated Hospital of Qingdao University, 266001, China.
Yin-Hui YangDepartment of Oral and Maxillofacial Surgery, Qingdao Stomatological Hospital Affiliated to Qingdao University, 266001, China.
Xiao-Ni LiDepartment of Oral and Maxillofacial Surgery, Qingdao Stomatological Hospital Affiliated to Qingdao University, 266001, China.
Yang YuDepartment of Oral and Maxillofacial Surgery, Qingdao Stomatological Hospital Affiliated to Qingdao University, 266001, China.
Yao-Zhong WangDepartment of Oral and Maxillofacial Surgery, Qingdao Stomatological Hospital Affiliated to Qingdao University, 266001, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: This study investigated the clinical effects and applicability of minimally invasive impacted teeth extraction using digital robots. Methods: A marker was bonded to the non-surgical area before surgery. A Cone-Beam Computed Tomography (CBCT) scan was obtained and uploaded to the robot software to determine the drilling position of the ring drill. During the surgery, the robot arm automatically navigated to a predetermined position, and the ring drill removed part of the bone tissue and exposed and extracted the impacted teeth. Finally, the surgeon tightly sutured the wounds to the surgical area. Results: Three minimally invasive extractions of impacted teeth with robotic assistance were performed without complications. The surgical area showed good healing during the one-month follow-up examination. Conclusions: Digital robot-assisted minimally invasive extraction of impacted teeth is a highly feasible clinical procedure as it minimises trauma to the surgical area and protects the surrounding blood vessels and nerve bundles, making it a safe and valuable technique with significant potential for clinical application.

Indexed as

Alveolus surgeryCase reportClinical applicationDigital surgeryImpacted teethRobot-assisted

Identifiers

PMID39286173
PMCPMC11402922

What OpenQuestion holds

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Registered trials

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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.