Evidence map›Paper›PMID 40103888›Full record

ArticlePakistan journal of medical sciences2025

An investigation of Y-TZP surface characteristics and adhesive properties following treatment with Tri-biochemical Silica Coating, Femtosecond Laser, and Nano-hydroxyapatite: A scanning electron microscopy evaluation.

Fahad Alkhudhairy, Nourah N Shono

Abstract read
In one paragraph

Article in Pakistan journal of medical sciences, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

2 authors.

Fahad AlkhudhairyFahad Alkhudhairy Restorative Dental Sciences Department, College of Dentistry, King Saud University, Riyadh, Saudi Arabia.
Nourah N ShonoNourah N. Shono Restorative Dental Sciences Department, College of Dentistry, King Saud University, Riyadh, Saudi Arabia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objectives: To examine how advanced surface pretreatment techniques - Tribochemical silica coating (TBC), Femtosecond laser (FS), and Nano-hydroxyapatite (HA) coating - affect the surface roughness (Ra) and shear bond strength (SBS) between resin luting cement and Yttria-stabilized tetragonal zirconia polycrystals (Y-TZP). Methods: The lab-based comparative study was approved by the ethical committee of King Saud University under IRB number F98-971X9 and was completed in three months (June to September, 2024). Eighty-four YTZP zirconia discs were created and sorted into four groups based on different conditioning agents: Group-I (APA) as the control, Group-II (TBC), Group-III (FS laser), and Group-IV (Nano-HA coating). Ra was measured on five discs from each group using a profilometer, while surface topography was examined through SEM analysis. Ten specimens per group were bonded with luting cement, followed by SBS testing and fracture mode analysis using a universal testing machine and stereomicroscope, respectively. One-way ANOVA with post hoc Tukey tests (p<0.05) was used for statistical analysis of Ra and SBS means across the groups. Results: Group-IV (Nano-HA coating) exhibited the highest Ra and SBS values. Conversely, Group II (TBC) displayed the lowest Ra and weakest bond strength. Conclusion: Nano-HA coating and FS laser can be employed as viable alternatives to APA without compromising the physical and mechanical properties of zirconia ceramic.

Indexed as

DentistryMechanical testingShear bond strengthSurface characteristicsSurface ModificationZirconia Polycrystals

Identifiers

PMID40103888
PMCPMC11911757

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.