Evidence map›Paper›PMID 35120525›Full record

ArticleBMC oral health2022

Influence of margin design and restorative material on the stress distribution of endocrowns: a 3D finite element analysis.

Ziting Zheng, Jieli Sun, Lifang Jiang, Yuan Wu, Jiahui He, Wenhao Ruan, Wenjuan Yan

Abstract read
In one paragraph

Article in BMC oral health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

22 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Comparison of Fracture Resistance Based on Ferrule Presence vs Material Type in Maxillary Central Incisor Endocrown Restorations.Medical science monitor : international medical journal of experimental and clinical research · 2025
    Article
  6. Article
  7. Article
  8. Article
  9. Impact of Margin Type and Material Choice on Stress Distribution in Endocrown Restorations: A 3D Finite Element Study.Medical science monitor : international medical journal of experimental and clinical research · 2025
    Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Review
  16. Comparative Finite Element Analysis of Endocrowns and Traditional Restorations for Endodontically Treated Mandibular First Molars.Medical science monitor : international medical journal of experimental and clinical research · 2023
    Article
  17. Article
  18. Article
  19. Unlocking Endocrown Restoration Expertise Among Dentists: Insights from a Multi-Center Cross-Sectional Study.Medical science monitor : international medical journal of experimental and clinical research · 2023
    Article
  20. Review
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.

Ziting ZhengDepartment of Stomatology, Nanfang Hospital, Southern Medical University, Guangzhou, China.
Jieli SunDepartment of Stomatology, Nanfang Hospital, Southern Medical University, Guangzhou, China.
Lifang JiangDepartment of Stomatology, Nanfang Hospital, Southern Medical University, Guangzhou, China.
Yuan WuDepartment of Stomatology, Nanfang Hospital, Southern Medical University, Guangzhou, China.
Jiahui HeDepartment of Stomatology, Nanfang Hospital, Southern Medical University, Guangzhou, China.
Wenhao RuanDepartment of Stomatology, Nanfang Hospital, Southern Medical University, Guangzhou, China.
Wenjuan YanDepartment of Stomatology, Nanfang Hospital, Southern Medical University, Guangzhou, China. 645613053@qq.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThis study aimed to evaluate the stress distributions in endocrown restorations as applied to endodontically treated teeth (ETT), according to the factors of "margin design" (four levels) and "restorative material" (six levels).

methodsFour 3D-finite elements models were constructed for endocrown restored molars considering different margin designs. Model A was prepared with a flat butt joint margin and received an endocrown with a 2.0-mm occlusal thickness. Model B was prepared with a 20° bevel margin and received an endocrown with a 2.0-mm occlusal thickness. Model C was prepared with an axial reduction and 1-mm shoulder margin and received an endocrown with a 2.0-mm occlusal thickness. Model D was prepared with an anatomic margin and received an endocrown with a 2.0-mm occlusal thickness. The following endocrown materials were used: In-Ceram Zirconia (Zr), Vita Suprinity (VS), IPS Empress (IE), Grandio blocs (GR), VisCalor bulk (VS), and CopraPeek Light (CP). The Load application (600 N) was performed at the food bolus and tooth surface during the closing phase of the chewing cycle. The results for the endocrown and tooth remnants were determined according to the von Mises stress. The failure risk of the cement layer was also calculated based on the normal stress criterion.

resultsModel D (with an anatomic margin) showed the greatest stress concentrations, especially in the irregular and sharp angles of the restoration and tooth remnants. The stress concentrated on the dentin was significantly lower in Model B with a 20° bevel margin (20.86 MPa), i.e., 1.3 times lower than the other three margin designs (27.80 MPa). Restorative materials with higher elastic moduli present higher stress concentrations inside the endocrown and transmit less stress to the cement layer, resulting in lower bonding failure risks. In contrast, materials with an elastic modulus similar to that of dentin presented with a more homogeneous stress distribution on the whole structure.

conclusionsAn endocrown with a 20° bevel margin design could be a favorable preparation option for ETT. Composite resins (GR and VC) exhibit a more even stress distribution, and seem to be more promising materials for endocrown molars.

Indexed as

Dental MaterialsTooth, NonvitalComposite ResinsCrownsDental Stress AnalysisFinite Element AnalysisHumansMaterials TestingMolarComposite ResinsDental Materials3D finite element analysisCeramicComposite resinEndocrownEndodontically treated teeth

Identifiers

PMID35120525
PMCPMC8817586

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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.