Evidence map›Paper›PMID 33936701›Full record

ArticleClinical case reports2021

Ridge augmentation-The new field of computerized guided surgery: A technical note for minimal-invasive bone splitting.

Vasilios Alevizakos, Gergo Mitov, Marcus Schiller, Constantin von See

Abstract readCase Reports
In one paragraph

Article in Clinical case reports, 2021. 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

4 authors.

Vasilios AlevizakosDepartment of Digital Technologies in Dentistry and CAD-CAM Danube Private University Krems an der Donau Austria.ORCID https://orcid.org/0000-0002-3541-5404
Gergo MitovDepartment of Prosthodontics and Biomaterials Danube Private University Krems an der Donau Austria.
Marcus SchillerDepartment of Oral and Maxillofacial Surgery Hannover Medical School Hanover Germany.
Constantin von SeeDepartment of Digital Technologies in Dentistry and CAD-CAM Danube Private University Krems an der Donau Austria.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Different instrumentation procedures of the alveolar ridge expansion technique (ARST) with or without Guided Bone Regeneration have proven to be effective for successful implant placement in cases of alveolar bone width between 3mm and 6mm. Conventional bone splitting techniques require flap arising. This technical note demonstrates a method for flapless guided bone splitting. For this purpose, a newly developed surgical guide with internal irrigation channels was used. Using CAD-CAM additive technology, a narrow slot along the field of interest and a pin of a cooling pipe was designed and implemented in a surgical guide template. The bone split was performed flapless through the surgical guide while the cooling pipe was connected to it. During surgery, the piezo-driven instrument was moved within that slot, and the irrigation solution was directly rinsing it at point of entry through the irrigation channel. This procedure was performed on a 3.3 mm wide alveolar ridge achieving over 3 mm of bone gain. The described method combines several positive aspects. The micro-invasive flapless surgical procedure might improve postoperative healing. Additionally, sufficient cooling of the bone might lead to less thermal affection of bone cells and less resorption of the cortical bone. However, systematic studies are needed to confirm the observations of the presented case report.

Indexed as

alveolar ridge augmentationCAD‐CAMcomputer‐assistedcoolingirrigationsurgerytemplate

Identifiers

PMID33936701
PMCPMC8077347

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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.