Evidence map›Paper›PMID 35941612›Full record

ArticleBMC oral health2022

Timing selection for loosened tooth fixation based on degree of alveolar bone resorption: a finite element analysis.

Zhang-Yan Ye, Hao Ye, Xi-Xi Yu, Yong Wang, Li-Jun Wu, Xi Ding

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 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.

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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

6 authors.

Zhang-Yan Ye *Department of Stomatology, Pingyang Hospital Affiliated to Wenzhou Medical University, Wenzhou, 325400, Zhejiang, People's Republic of China.
Hao Ye *Institute of Digitized Medicine and Intelligent Technology, Wenzhou Medical University, Wenzhou, 325015, Zhejiang, People's Republic of China.
Xi-Xi YuWenzhou Medical University, Wenzhou, 325015, Zhejiang, People's Republic of China.
Yong WangWenzhou Medical University, Wenzhou, 325015, Zhejiang, People's Republic of China.
Li-Jun WuInstitute of Digitized Medicine and Intelligent Technology, Wenzhou Medical University, Wenzhou, 325015, Zhejiang, People's Republic of China.
Xi DingWenzhou Medical University, Wenzhou, 325015, Zhejiang, People's Republic of China. dingxizj@hotmail.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThis study aimed to evaluate timing of fixation to retard bone absorption using finite element analysis(FEA).

methodsVolunteer CT images were used to construct four models of mandibles with varying degrees of alveolar bone resorption. By simulating occlusal force loading, biomechanical analysis was made on the periodontal membrane, tooth root and surrounding bone (both cancellous and cortical) of mandibular dentition.

resultsThe von Mises stress value of the periodontal structures was positively related with the degree of alveolar bone resorption, and the von Mises stress at the interface between the periodontal membrane and tooth root was increased significantly in moderate to severe periodontitis models. The von Mises stress at the interface between the periodontal cortical bone and cancellous bone was increased significantly in the severe periodontitis model. And the von Mises stress value with oblique loading showed significantly higher than vertical loading.

conclusionTeeth with moderate to severe periodontitis, loosened tooth fixation can be used to retard bone absorption.

Indexed as

Alveolar Bone LossPeriodontitisTooth RootDental Stress AnalysisFinite Element AnalysisHumansImaging, Three-DimensionalMandibleStress, MechanicalBiomechanicsBone resorptionLoosened tooth fixationPeriodontitisThree-dimensional finite element

Identifiers

PMID35941612
PMCPMC9358908

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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.