Evidence map›Paper›PMID 41127179›Full record

ArticleCase reports in dentistry2025

Robot-Assisted Dental Implant Surgery Following Guided Bone Regeneration: A Clinical Case Report.

You Jiajia, Maria Costanza Soldini, Ramón Pons, Cristina Valles

Abstract readCase Reports
In one paragraph

Article in Case reports in dentistry, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

4 authors.

You JiajiaDepartment of Implantology, Private Practice, Dr. Ya's Dental Clinic, Suzhou, China.
Maria Costanza SoldiniDepartment of Periodontology, School of Dentistry, International University of Catalonia (UIC), Barcelona, Spain.ORCID https://orcid.org/0000-0003-0826-8901
Ramón PonsDepartment of Periodontology, School of Dentistry, International University of Catalonia (UIC), Barcelona, Spain.ORCID https://orcid.org/0000-0001-7472-7526
Cristina VallesDepartment of Periodontology, School of Dentistry, International University of Catalonia (UIC), Barcelona, Spain.ORCID https://orcid.org/0000-0002-2690-1208

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Accurate placement of dental osseointegrated implants is critical for long-term success, with factors significantly influencing stability and integration with surrounding tissues (i.e., depth, angle, and positioning within the bone). Nowadays, dental surgeries assisted by implant robots are gaining popularity. This occurs because dental robots provide precise and accurate minimally invasive surgery. Methods: A 46-year-old woman visited a private dental clinic with missing teeth in positions 4.5 and 4.6. Upon clinical and radiographic examination, severe ridge atrophy was observed. To address this, horizontal and vertical guided bone regeneration (GBR) was performed using a customized titanium occlusive membrane. After 6 months, DICOM files of the patients were imported into the robot implant planning software (RemebotDent, Remebot, Beijing Rui Yi Bo Technology DICOM Ltd., China) for the placement of two dental implants (CLC CONIC, CLC Scientific, Vicenza, Italy). Results: After the GBR procedure, vertical bone gain was on average 2 mm, whereas horizontal bone gain was 5.28 and 5.34 mm in the middle position of 4.5 and 4.6. The robot-assisted surgery revealed high accuracy, since the implants in positions 4.5 and 4.6 showed a coronal global deviation of 0.42 and 0.57 mm and angular deviation of 0.62° and 0.69°, respectively. Conclusions: This robotic surgical system can offer high accuracy and reliability with the preoperative plan. The potential for future collaboration between robots and surgeons may significantly alter the landscape of implant dentistry, and further studies are needed to confirm the accuracy of robotic implant placement.

Identifiers

PMID41127179
PMCPMC12539987

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