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Record W2576141365 · doi:10.1111/cid.12470

Cement‐associated peri‐implant mucositis. A 1‐year follow‐up after excess cement removal on the peri‐implant tissue of dental implants

2017· article· en· W2576141365 on OpenAlexvenueno aff
Michael Korsch, Winfried Walther, Andreas Bartols

Bibliographic record

VenueClinical Implant Dentistry and Related Research · 2017
Typearticle
Languageen
FieldDentistry
TopicDental Implant Techniques and Outcomes
Canadian institutionsnot available
Fundersnot available
KeywordsCementImplantPeri-implantitisDentistryMedicineBleeding on probingMucositisMaterials scienceSurgeryComposite material

Abstract

fetched live from OpenAlex

BACKGROUND: Methacrylate-based cements seem to promote peri-implant tissue inflammation even in the absence of excess cement. PURPOSE: The present study deals with the question of whether the removal of methacrylate cement from the peri-implant sulcus will lead to peri-implant tissues free of inflammation on a 1-year follow-up basis. MATERIAL AND METHODS: Implant supported suprastructures that had been in the mouth for at least 3.5 years either cemented with methacrylate (premier implant cement [PIC]) or zinc eugenol (temp bond [TB]) cement were compared. All superstructures in 33 patients with a total of 61 implants (35 with PIC and 26 with TB) were removed and excess cement, bleeding on probing (BOP), suppurationen and probing depth were documented. Excess cement found was removed, and in all cases the suprastructure was recemented with TB. Patients were followed up after 4 weeks (F1) and 1 year (F2). RESULTS: Excess cement was found around 60% of the implants with PIC. No excess cement was found around implants with TB. At the time of revision therapy, BOP was found around 100% of the implants with PIC and excess cement (PIC+), 93% around implants with PIC but no excess cement (PIC-), and around 42% of the TB-cemented implants (Chi-squared P < .01). Suppuration was observed in 86% of the PIC+ implants, in 14% of the PIC- implants and in 0% of the TB implants (Chi-squared P < .01). At the time of both F1 and F2, the inflammation parameters, that is BOP and suppuration, on implant level were significantly reduced in the PIC+ cases (McNemar's test P < .01). For PIC-, BOP was significantly reduced at both points in time (P < .05). For TB no differences were found. Probing depth at F2 had significantly decreased in all groups (t test P < .05). CONCLUSION: The removal of excess cement and recementation with TB had an anti-inflammatory effect on the peri-implant tissues after 1 year.

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)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.000
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.144
GPT teacher head0.465
Teacher spread0.322 · 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 designObservational
Domainnot available
GenreEmpirical

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

Citations29
Published2017
Admission routes1
Has abstractyes

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