Evidence map›Paper›PMID 36199249›Full record

ArticleJournal of dental research2022

Accelerated Fatigue Model for Predicting Composite Restoration Failure.

B Yang, W Aregawi, R Chen, L Zhang, Y Wang, A S L Fok

Abstract read
In one paragraph

Article in Journal of dental research, 2022. 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. Review
  2. Post-failure analysis of model resin-composite restorations subjected to different chemomechanical challenges.Dental materials : official publication of the Academy of Dental Materials · 2024
    Article
  3. 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

6 authors.

B YangHospital of Stomatology, Guanghua School of Stomatology, Sun Yat-sen University; Guangdong Provincial Key Laboratory of Stomatology, Guangzhou, China.ORCID 0000-0002-0694-0883
W AregawiMinnesota Dental Research Center for Biomaterials and Biomechanics, School of Dentistry, University of Minnesota, Minneapolis, MN, USA.
R ChenMinnesota Dental Research Center for Biomaterials and Biomechanics, School of Dentistry, University of Minnesota, Minneapolis, MN, USA.
L ZhangDivison of Biostatistics, School of Public Health, University of Minnesota, Minneapolis, MN, USA.
Y WangHospital of Stomatology, Guanghua School of Stomatology, Sun Yat-sen University; Guangdong Provincial Key Laboratory of Stomatology, Guangzhou, China.
A S L FokMinnesota Dental Research Center for Biomaterials and Biomechanics, School of Dentistry, University of Minnesota, Minneapolis, MN, USA.

Funding

Manipulating Stem Cells to Provide Long Term Regeneration of Irradiated Salivary GlandsR01DE027034 · NIDCR · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI LOMBAERT, ISABELLE M.A. · 2018 to 2022
$1.8M
NIDCR NIH HHS R01 DE027034
6 · The paper itself

Abstract

An empirical method is proposed to predict the clinical performance of resin composite dental restorations by using laboratory data derived from simple specimens subjected to chemical degradation and accelerated cyclic fatigue. Three resin composites were used to fill dentin disks (2-mm inner diameter, 5-mm outer diameter, and 2 mm thick) made from bovine incisor roots. The specimens (

Indexed as

Composite ResinsDental Restoration FailureAnimalsCattleDental Restoration, PermanentDental Stress AnalysisMaterials TestingResin CementsSurface PropertiesComposite ResinsResin Cementsbondingdegradationmathematical modelingmechanical propertiesresin(s)restorative materials

Identifiers

PMID36199249
PMCPMC9703530

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.