Evidence map›Paper›PMID 38937650›Full record

ArticleScientific reports2024

Finite element analysis of the mechanical behavior of 3D printed orthodontic attachments used in aligner treatment.

Riham Nagib, Andrei Zoltan Farkas, Camelia Szuhanek

Abstract read
In one paragraph

Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
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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

3 authors.

Riham NagibDepartment of Orthodontics, Orthodontics Research Center 'ORTHO CENTER', "Victor Babeş" University of Medicine and Pharmacy Timişoara, Eftimie Murgu Sq. 2, 300041, Timişoara, Romania.
Andrei Zoltan FarkasDepartment of Mechatronics, University Politehnica Timişoara, 1 Mihai Viteazu Ave, 300222, Timişoara, Romania. andrei.farkas@upt.ro.
Camelia SzuhanekDepartment of Orthodontics, Orthodontics Research Center 'ORTHO CENTER', "Victor Babeş" University of Medicine and Pharmacy Timişoara, Eftimie Murgu Sq. 2, 300041, Timişoara, Romania.

Funding

"Victor Babeş" University of Medicine and Pharmacy ,Timişoara Contract de Cercetare Avansata - Tineri Cercetatori nr. 1683/26.01.2024
6 · The paper itself

Abstract

The composite attachment loss during orthodontic clear aligner therapy is an adverse event that commonly happens in clinical practice and can affect the overall outcome and length of treatment. The aim of our research is to provide a basis for the further study of an innovative digital protocol and application method for orthodontic aligner attachments. Two 3D models were designed, one based on the proposed protocol and the other on the conventional method for aligner attachment application. Four attachment shapes were used to identify the maximum values for the von Mises equivalent stresses, the maximum displacements values and the areas in which these values were recorded through FEM analysis. The results of the mechanical simulation show lower values of von Mises stress recorded in the 3D printed attachments assemblies, independent of their shape, when simulated under the same boundary and load conditions. The trapezoidal prism shaped 3D printed model has a 3.7 times smaller displacement value (0.088 [mm]) compared to the adhesive resin model (0.326 [mm]). In conclusion, the proposed protocol for aligner attachments and the introduction of innovative materials is a promising method of solving conventional attachment problems in current orthodontic treatments.

Indexed as

Finite Element AnalysisPrinting, Three-DimensionalHumansOrthodontic Appliance DesignStress, MechanicalTooth Movement Techniques3D printingClear alignerFEMOrthodontic attachments

Identifiers

PMID38937650
PMCPMC11211347

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.