Evidence map›Paper›PMID 33527747›Full record

ArticleJournal of biomedical materials research. Part B, Applied biomaterials2021

Forensic and reliability analyses of fixed dental prostheses.

John J Mecholsky, Shu-Min Hsu, Osama Jadaan, Jason Griggs, Daniel Neal, Arthur E Clark, Xinyi Xia, Josephine F Esquivel-Upshaw

Open access · greenAbstract read
In one paragraph

Article in Journal of biomedical materials research. Part B, Applied biomaterials, 2021. 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
0.5field-weighted citation impact, top 45% of its field
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, 4 citations in OpenAlex.

  1. Article
  2. Proof testing to improve the reliability and lifetime of ceramic dental prostheses.Dental materials : official publication of the Academy of Dental Materials · 2023
    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

8 authors at 3 institutions in 1 country.

John J MecholskyDepartment of Materials Science Engineering, Herbert Wertheim College of Engineering, University of Florida, Gainesville, Florida, USA.
Shu-Min HsuDepartment of Restorative Dental Sciences, Division of Prosthodontics, University of Florida College of Dentistry, Gainesville, Florida, USA.
Osama JadaanDepartment of Engineering, University of North Florida, Jacksonville, Florida, USA.
Jason GriggsDepartment of Biomaterials, University of Mississippi, Jackson, Mississippi, USA.
Daniel NealDepartment of Neurosurgery, University of Florida, Gainesville, Florida, USA.
Arthur E ClarkDepartment of Restorative Dental Sciences, Division of Prosthodontics, University of Florida College of Dentistry, Gainesville, Florida, USA.
Xinyi XiaDepartment of Restorative Dental Sciences, Division of Prosthodontics, University of Florida College of Dentistry, Gainesville, Florida, USA.
Josephine F Esquivel-UpshawDepartment of Restorative Dental Sciences, Division of Prosthodontics, University of Florida College of Dentistry, Gainesville, Florida, USA.ORCID 0000-0003-3642-8087
University of Florida · USUniversity of Mississippi · USUniversity of North Florida · US

Funding

Using social networks to map and evaluate team science across CTSA hubsUL1TR001427 · NCATS · UNIVERSITY OF FLORIDA · PI MITCHELL, DUANE A. · 2015 to 2024
$37.2M
Novel coatings to minimize surface degradation and fracture susceptibility of dental ceramicsR01DE025001 · NIDCR · UNIVERSITY OF FLORIDA · PI ESQUIVEL-UPSHAW, JOSEPHINE F. · 2016 to 2020
$4.2M
Fractal Analysis of Ceramic FPDsR01DE024333 · NIDCR · UNIVERSITY OF MISSISSIPPI MED CTR · PI GRIGGS, JASON A · 2015 to 2019
$1.9M
Novel coated nanostructured implant surfaces to increase osseointegration and decrease peri-implantitis in a physiologic rat modelR56DE025001 · NIDCR · UNIVERSITY OF FLORIDA · PI ESQUIVEL-UPSHAW, JOSEPHINE F. · 2022 to 2022
$650k
NCATS NIH HHS UL1 TR001427NCATS NIH HHS UL1TR001427NIDCR NIH HHS R01 DE024333NIDCR NIH HHS R01 DE025001NIDCR NIH HHS R56 DE025001
6 · The paper itself

Abstract

This article describes the protocol for determining the cause of failure for retrieved failed implant supported fixed dental prostheses (FDPs) in a clinical study of three-unit bridges. The results of loading of flexure bars of different veneer compositions at different stress rates were presented for two veneer materials (leucite reinforced and fluorapatite glass-ceramic veneers) and a Y-TZP core zirconia ceramic used in the clinical study. From these results, the strengths of the fast loading conditions were used to determine the fracture toughness of these materials. Fractal dimension measurements of the flexure bars and selected FDPs of the same materials demonstrated that the values were the same for both the bars and the FDPs. This allowed the use of fracture toughness values from the flexure bars to determine the strengths of the FDPs. The failure analysis of clinically obtained FDP replicates to determine the size of the fracture initiating cracks was then performed. Using the information from the flexure bars and the size of the fracture initiating cracks for the failed FDPs, the strengths of the FDPs were determined. The clinical failures were determined to be most likely the result of repeated crack growth due to initial overload and continuous use after initial cracking.

Indexed as

Aluminum SilicatesApatitesCeramicsDental MaterialsDental ProsthesisDental Stress AnalysisHumansLinear ModelsReproducibility of ResultsTissue EngineeringTissue ScaffoldsZirconiumAluminum SilicatesApatitesDental MaterialsfluorapatiteGlass ceramicsleuciteZirconiumzirconium oxideceramicfractalfracture toughnessprosthesis

Identifiers

PMID33527747
PMCPMC9097971
OpenAlexW3126804714

What OpenQuestion holds

Textmetadata
LicenceTDM
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.