Evidence map›Paper›PMID 42151480›Full record

ArticleScientific reports2026

Improving dental implant design through a combined analysis of the insertion process and push-in test.

Armin Shanazari, Gholamreza Rouhi

Abstract read
In one paragraph

Article in Scientific reports, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

2 authors.

Armin ShanazariFaculty of Biomedical Engineering, Amirkabir University of Technology, Tehran, Iran.
Gholamreza RouhiFaculty of Biomedical Engineering, Amirkabir University of Technology, Tehran, Iran. grouhi@aut.ac.ir.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study examined the influence of key dental implant design parameters, including taper angle, thread thickness, thread pitch, and number of thread starts, on the primary stability (PS) indicators derived from insertion process and push-in test. Finite element models of nine implant designs, including a baseline and eight single-parameter variations, were developed. Simulations of implant insertion were performed to evaluate maximum insertion torque (MIT) and insertion energy (IE), followed by push-in tests to assess bone-implant construct stiffness and strength. Linear regression analysis quantified the influence of each design parameter on the PS indicators and examined interrelationships among PS indicators. The results showed that PS indicators are affected in a complex, parameter-specific manner. Increasing taper angle increased MIT while decreasing IE, with minimal effects on stiffness and strength, whereas increasing thread thickness increased both MIT and IE but reduced construct stiffness and strength. No overall linear relationships were observed among PS indicators; however, variations in thread thickness and pitch produced strong linear relationships between MIT and IE (R² = 0.93 and 0.94, respectively). By jointly considering the insertion process and push-in test through linear regression analysis, an improved implant design was identified, resulting in 17% higher MIT and 10% greater bone-implant construct strength.

Indexed as

Dental ImplantsDental Prosthesis DesignDental Stress AnalysisFinite Element AnalysisHumansLinear ModelsTorqueDental ImplantsBone-implant strengthDental implantFinite element methodInsertion energyInsertion torquePrimary stability

Identifiers

PMID42151480
PMCPMC13376155

What OpenQuestion holds

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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.