Evidence map›Paper›PMID 42306614›Full record

ArticleJournal of conservative dentistry and endodontics2026

Stress distribution in Class I composite restorations with polyethylene fiber wallpapering under different occlusal loads: A three-dimensional finite element analysis.

Urfa Tabtila, R Tri Endra Untara, Yosephus Ardean Kurnianto Prayitno, Benidiktus Tulung Prayoga, Margareta Rinastiti

Abstract read
In one paragraph

Article in Journal of conservative dentistry and endodontics, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

5 authors.

Urfa TabtilaDepartment of Conservative Dentistry, Faculty of Dentistry, Universitas Gadjah Mada, Yogyakarta, Indonesia.
R Tri Endra UntaraDepartment of Conservative Dentistry, Faculty of Dentistry, Universitas Gadjah Mada, Yogyakarta, Indonesia.
Yosephus Ardean Kurnianto PrayitnoDepartment of Mechanical Engineering, Vocational College, Universitas Gadjah Mada, Yogyakarta, Indonesia.
Benidiktus Tulung PrayogaDepartment of Mechanical Engineering, Vocational College, Universitas Gadjah Mada, Yogyakarta, Indonesia.
Margareta RinastitiDepartment of Conservative Dentistry, Faculty of Dentistry, Universitas Gadjah Mada, Yogyakarta, Indonesia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Context: Class I composite restorations in posterior teeth often fail due to polymerization shrinkage and uneven load distribution. Aims: This study aimed to observe the stress distribution in polyethylene fiber-reinforced composite resin restorations placed using the wallpapering technique. Settings and Design: Finite element analysis. Materials and Methods: A 3D dental model of a maxillary premolar was developed using CBCT and then imported for reconstruction and geometry refinement. Four groups were then created: intact tooth, Class I cavity, conventional composite restoration, and wallpapering fiber-reinforced composite restoration. Simulations were performed using ANSYS 2025 R1 with vertical loads of 300N and 738N on the central fossa. Statistical Analysis Used: Von Mises stress distribution was analyzed across three layers using two-way ANOVA (α =0.05). Results: Load magnitude ( Conclusions: Wallpapering polyethylene fiber placement biomimetically redistributes stress with load-dependent effectiveness, offering the greatest potential benefit in high-load conditions rather than standard Class I restorations.

Indexed as

Composite restorationfinite element analysispolyethylene fiberstress distributionwallpapering

Identifiers

PMID42306614
PMCPMC13268552

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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.