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Record W7077869629 · doi:10.2196/76907

Comparative Evaluation of Sonic and Ultrasonic Activation of 3 Post Space Irrigants on Push-Out Bond Strength of Fiber Posts Luted With Dual-Cure Resin Cement: Protocol for an In Vitro Study

2025· article· en· W7077869629 on OpenAlexvenueno aff

Bibliographic record

VenueJMIR Research Protocols · 2025
Typearticle
Languageen
FieldComputer Science
TopicGeochemistry and Geologic Mapping
Canadian institutionsnot available
Fundersnot available
KeywordsProtocol (science)Bond strengthUltrasonic sensorFiberEpoxyMaterials testing

Abstract

fetched live from OpenAlex

BACKGROUND: For long-term longevity and proper function, endodontically treated teeth must be restored appropriately. Fiber posts luted with dual-cure resin cement are frequently used because of their improved biomechanical and adhesive properties. However, achieving a strong binding between the fiber post and root canal dentin is difficult due to the physical constraints of the root canal and the presence of a smear layer. Bond strength may be increased by post space irrigation with solutions, such as 5% calcium hypochlorite, 17% ethylenediaminetetraacetic acid (EDTA), and saline, that have been activated using sonic or ultrasonic techniques. This study compares the effects of several activation techniques on the push-out bond strength of fiber posts luted with dual-cure resin cement. OBJECTIVE: This study aims to evaluate how the push-out bond strength of dual-cure resin-cemented fiber posts in excised human mandibular single-rooted premolars is affected by the sonic and ultrasonic activation of 3 post space irrigants: 5% calcium hypochlorite, 17% EDTA, and saline. METHODS: A total of 120 single-rooted mandibular premolars will be used in this in vitro investigation. A standardized procedure will be used to decoronate, instrument, and obturate the teeth. One of the 3 solutions, activated either sonically or ultrasonically, will be used to prepare and irrigate post spaces. Dual-cure resin cement will then be used to lute the fiber posts. Using a universal testing machine, push-out bond strength will be measured. The Tukey post hoc test and ANOVA will be used for statistical analysis of the data. RESULTS: Ethics approval for this study was obtained from the institutional ethics committee of Datta Meghe Institute of Higher Education and Research. The study is self-funded. Sample collection of extracted human mandibular premolars began in June 2025, and 68 specimens have been collected as of submission. Specimen preparation is ongoing, with data collection projected to be completed by October 2025. Data analysis is scheduled for November 2025, and results are expected to be published in early 2026. It is anticipated that irrigant type and activation method will influence push-out bond strength, with 17% EDTA and 5% calcium hypochlorite, particularly under ultrasonic activation, potentially yielding higher values than saline. CONCLUSIONS: On the basis of previous literature, we expect that EDTA and calcium hypochlorite with ultrasonic activation may exhibit higher push-out bond strength. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): DERR1-10.2196/76907.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Protocol · Consensus signal: none
Teacher disagreement score0.002
Threshold uncertainty score0.008

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.227
GPT teacher head0.518
Teacher spread0.291 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreProtocol

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2025
Admission routes1
Has abstractyes

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