Evidence map›Paper›PMID 40986551›Full record

ArticlePloS one2025

Biomechanical analysis of porous and dense dental implant-supported bridges in healthy and osteoporotic bones.

Hassan Mehboob, Abdelhak Ouldyerou, Abdulsalam A Al-Tamimi, Ali Mehboob, Imad Barsoum

Abstract read
In one paragraph

Article in PloS one, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

5 authors.

Hassan MehboobDepartment of Engineering Management, College of Engineering, Prince Sultan University, Riyadh, Saudi Arabia.
Abdelhak OuldyerouDepartment of Engineering Management, College of Engineering, Prince Sultan University, Riyadh, Saudi Arabia.ORCID 0000-0003-4554-5373
Abdulsalam A Al-TamimiDepartment of Industrial Engineering, College of Engineering, King Saud University, Riyadh, Saudi Arabia.
Ali MehboobAdvanced Digital & Additive Manufacturing Center, Khalifa University, Abu Dhabi, United Arab Emirates.ORCID 0000-0003-4894-0133
Imad BarsoumAdvanced Digital & Additive Manufacturing Center, Khalifa University, Abu Dhabi, United Arab Emirates.ORCID 0000-0002-9438-9648

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Despite the high success rate of crown bridge dental implants, peri-implant bone resorption remains a persistent major biomechanical issue. This study examines the impact of the implant's Young's modulus, implantation technique, and loading conditions on bone remodeling in the region of interest (ROI) for varying bone qualities. Three-dimensional finite element models of three-unit bridge crowns (TUB), implants, and cancellous and cortical bones were constructed using SolidWorks software. Four implantation scenarios, two bone health conditions (healthy and weak bone), and dense and effective porous implants were simulated under two loading conditions (200 N and gradually decreasing 100 N, 80 N, and 40 N), employing Abaqus software, for 16 cases (n = 16). A user's subroutine was programmed using Python to estimate the iterative changes (46 simulations of each case) in bone density at peri-implant bone. The simulated results demonstrated that effective porous implants outperformed and showed higher Young's moduli in the ROI compared to the dense implants when a single implant was implanted. However, when two implants were inserted simultaneously, the effective porous implant outperformed in the case of healthy bone only.

Indexed as

Dental ImplantsOsteoporosisBiomechanical PhenomenaBone DensityElastic ModulusFinite Element AnalysisHumansPorosityDental Implants

Identifiers

PMID40986551
PMCPMC12456784

What OpenQuestion holds

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LicenceCC BY
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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.