Evidence map›Paper›PMID 40291799›Full record

ArticleJournal of oral biology and craniofacial research

Comparative evaluation of Microarc Oxidation and sandblasting on the retention of cement-retained implant restorations: An

Angelin Glory, Vidhya Jeyapalan, Jayakrishnakumar Sampathkumar, Hariharan Ramakrishnan, Shivakumar Baskaran, Deepavalli Arumuganainar

Abstract read
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Article in Journal of oral biology and craniofacial research. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Angelin GloryDepartment of Prosthodontics, Crown and Bridge, Ragas Dental College and Hospital, Chennai, 600119, Tamil Nadu, India.
Vidhya JeyapalanDepartment of Prosthodontics, Crown and Bridge, Ragas Dental College and Hospital, Chennai, 600119, Tamil Nadu, India.
Jayakrishnakumar SampathkumarDepartment of Prosthodontics, Crown and Bridge, Ragas Dental College and Hospital, Chennai, 600119, Tamil Nadu, India.
Hariharan RamakrishnanDepartment of Prosthodontics and Implantology, Thai Moogambigai Dental College and Hospital, Dr. MGR educational and research institute, (DU), Maduravoyal, Chennai, 600095, Tamil Nadu, India.
Shivakumar BaskaranDepartment of Periodontics, Ragas Dental College and Hospital, Chennai, 600119, Tamil Nadu, India.
Deepavalli ArumuganainarDepartment of Periodontics, Saveetha Dental College and Hospitals, Saveetha Institute of Medical and Technical Sciences, Saveetha University, Chennai, 600077, Tamil Nadu, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: The aim was to compare the impact of two distinct surface treatment methods on implant abutments concerning the retention of implant-supported restorations. Materials and methods: 30 implant analogs, individually embedded into blocks of autopolymerizing acrylic resin, were paired with 30 titanium implant abutments and divided into three groups (each, n = 10) based on surface treatment. Group I included untreated implant abutments; group II included abutments treated with sandblasting; and group III comprised abutments treated with Microarc Oxidation. A qualitative surface analysis was conducted using scanning electron microscope. Each abutment was connected to its analog embedded in the resin block. Resin copings were fabricated using rapid additive prototyping (3D printing) and cast into Ni-Cr alloy copings and cemented onto the abutments using zinc-polycarboxylate cement. Test samples were subjected to tensile bond strength (TBS) testing using an Axial-Torsion Servohydraulic Fatigue-Testing System. The results were tabulated and subjected to statistical evaluation. Results: The mean TBS of the cemented cast copings on implant abutments was 4.276 MPa-group I; 6.340 MPa-group II; and 8.117 MPa-group III. Upon comparison, group III demonstrated the highest mean TBS, followed by group II, while group I exhibited the lowest strength. Qualitative surface analysis revealed that the test samples in group II and group III had greater surface roughness compared to those in group I. Conclusion: The surface treatments of implant abutments using sandblasting and Microarc Oxidation enhanced the tensile bond strength of cemented cast copings and, MAO significantly increased retention of cement-retained restorations compared to sandblasting.

Indexed as

Microarc oxidationSand blastingSurface treatmentTensile bond strengthTitanium implant abutment

Identifiers

PMID40291799
PMCPMC12023883

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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.