ArticleScientific reports2024
Multi-objective optimization of custom implant abutment design for enhanced bone remodeling in single-crown implants using 3D finite element analysis.
Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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.
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.
Who cites it
9 citing papers in PubMed.
- Biomechanical effects of three prosthetic materials on implant-supported fixed restoration following fibula reconstruction of maxillary bone defects: a finite element analysis.BMC oral health · 2026Article
- Quantifying Stress Shielding in Dental Implants: A Comparative Finite Element Study of Titanium, CFR-PEEK, and Ceramic Materials.Materials (Basel, Switzerland) · 2026Article
- Biomechanical evaluation of a lower-limb implant model under gait and stumbling conditions using finite element analysis.Scientific reports · 2025Article
- Multi-Objective Optimization of Dental Implant Designs With Multi-Recessed Holes: Insights From Static and Dynamic Finite Element Analysis.International journal for numerical methods in biomedical engineering · 2025Article
- Fatigue Resistance of Customized Implant-Supported Restorations.Materials (Basel, Switzerland) · 2025Article
- Mechanical behavior of hybrid custom implant abutments with various crown materials: a 3D finite element analysis.BMC oral health · 2025Article
- Finite Element Analysis of Implant Stability Quotient (ISQ) and Bone Stresses for Implant Inclinations of 0°, 15°, and 20°.Materials (Basel, Switzerland) · 2025Article
- Peri-Implant Architecture Management With Customized Healing Abutment in Flowable Composite in Immediate Implants: Two Case Reports and Narrative Review.Case reports in dentistry · 2025Article
- Biomechanical analysis of porous and dense dental implant-supported bridges in healthy and osteoporotic bones.PloS one · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The optimal configuration of a customized implant abutment is crucial for bone remodeling and is influenced by various design parameters. This study introduces an optimization process for designing two-piece zirconia dental implant abutments. The aim is to enhance bone remodeling, increase bone density in the peri-implant region, and reduce the risk of late implant failure. A 12-month bone remodeling algorithm subroutine in finite element analysis to optimize three parameters: implant placement depth, abutment taper degree, and gingival height of the titanium base abutment. The response surface analysis shows that implant placement depth and gingival height significantly impact bone density and uniformity. The taper degree has a smaller effect on bone remodeling. The optimization identified optimal values of 1.5 mm for depth, 35° for taper, and 0.5 mm for gingival height. The optimum model significantly increased cortical bone density from 1.2 to 1.937 g/cm
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.