Evidence map›Paper›PMID 37954744›Full record

ArticleCureus2023

Comparative Evaluation of Microleakage With Total-Etch, Universal (Self-Etch Mode), and Nano Adhesive Systems in Class V Composite Restorations: An In-Vitro Study.

Sarveshwari Singh, Upendra S Bhadauria, Apoorva Sharma, Rouble Verma Mathur

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Article in Cureus, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

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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

5 citing papers in PubMed.

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4 · The record

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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.

Sarveshwari SinghConservative Dentistry and Endodontics, Sardar Patel Post Graduate Institute of Dental and Medical Sciences, Lucknow, IND.
Upendra S BhadauriaPublic Health Dentistry, All India Institute of Medical Sciences, New Delhi, IND.
Apoorva SharmaOral and Maxillofacial Pathology, Sardar Patel Post Graduate Institute of Dental and Medical Sciences, Lucknow, IND.
Rouble Verma MathurOral Medicine and Radiology, College of Dental Science, Rajasthan University of Health Sciences, Jaipur, IND.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesThe adhesion of bonding agents and their longevity are of interest to dentistry. Microleakage remains the major cause of composite restoration failures, which in turn depends on bonding between the restorative material and tooth substrate. The objective of this study is to evaluate and compare the microleakage with total-etch, universal, and nano adhesive systems in Class V composite restorations, utilizing a dye penetration method.

methodsForty-five extracted premolars were included in the present study, and a Class V cavity on the facial surface of each tooth was prepared. The samples were divided into three groups of 15 teeth each depending on the bonding agents used, following which composite restoration was done. Specimens were thermocycled, and nail varnish was applied except around the restorations. Specimens were then immersed in 2% methylene blue for 24 hours and rinsed; sectioning was done and viewed under a stereomicroscope with 10X magnification.

resultsThe mean microleakage score was reported to be significantly higher in the universal adhesive system in the self-etch mode (3.60 ± 0.55) when compared with the total-etch adhesive system (2.40 ± 0.55) and least in the nano adhesive system (1.20+.45) (p value <.05).

conclusionThe study findings revealed that nano adhesives showed lesser microleakage as compared to total-etch and universal adhesive systems. CLINICAL SIGNIFICANCE: The study strengthens the findings that the nano adhesives have reduced microleakage, resulting in better marginal integrity and increased longevity of restoration. This study signifies that an eighth-generation bonding agent is reported to be better than the other bonding agents used in this study.

Indexed as

adhesive systembonding agentscompositemicroleakagenano adhesives

Identifiers

PMID37954744
PMCPMC10632741

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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.