Evidence map›Paper›PMID 36220116›Full record

ArticleEuropean journal of dentistry2023

Effect of Different Surface Treatment Methods on the Shear Bond Strength of Resin Composite/Zirconia for Intra-oral Repair of Zirconia Restorations.

Kamyar Fathpour, Mahsa Nili Ahmadabadi, Ramin Atash, Amir Hossein Fathi

Open access · hybridAbstract read
In one paragraph

Article in European journal of dentistry, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
2.3field-weighted citation impact, top 12% of its field
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

12 citing papers in PubMed, 15 citations in OpenAlex.

  1. Effects of low-pressure plasma and ytterbium fiber laser on zirconia surface properties and bond strength to gingiva-colored composite.Journal of prosthodontics : official journal of the American College of Prosthodontists · 2026
    Article
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  3. Managing Fractured Ceramic Restorations: Current Evidence and Best Practices-A Scoping Review.Journal of esthetic and restorative dentistry : official publication of the American Academy of Esthetic Dentistry ... [et al.] · 2026
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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

4 authors at 2 institutions in 2 countries.

Kamyar FathpourDepartment of Esthetic and Restorative Dentistry, Dental Material Research Center, School of Dentistry, Isfahan University of Medical Sciences, Isfahan, Iran.
Mahsa Nili AhmadabadiDepartment of Esthetic and Restorative Dentistry, School of Dentistry, Isfahan University of Medical Sciences, Isfahan, Iran.
Ramin AtashDepartment of Prosthodontics, School of Dentistry, Faculty of Medicine, Université Libre de Bruxelles, Brussels, Belgium.
Amir Hossein FathiDental Materials Research Center, Dental Prosthodontics Department, School of Dentistry, Isfahan University of Medical Sciences, Isfahan, Iran.
Isfahan University of Medical Sciences · IRUniversité Libre de Bruxelles · BE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveA durable resin/zirconia bond is essential for successful intra-oral repair of zirconia restorations. The purpose of this study was to evaluate the influence of two mechanical treatments followed by seven chemical treatments on the shear bond strength (SBS) of composite resin to zirconia. MATERIALS AND

methodsIn this

resultsSignificant reduction in SBS was observed in all groups after thermocycling(

conclusionAir-abrasion followed by application of adhesive (with/without prior primer application) is the most efficient technique for repair of veneered zirconia restorations with resin composite.

Identifiers

PMID36220116
PMCPMC10569880
OpenAlexW4304471422

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.