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Record W3035978669 · doi:10.17648/2178-6925-v1-2020-19

O EFEITO FÉRULA TEM INFLUÊNCIA NA OCORRÊNCIA DE FALHA E SOBREVIDA EM DENTES COM RESTAURAÇÕES RETIDAS POR PINO DE FIBRA? REVISÃO DE LITERATURA

2020· article· pt· W3035978669 on OpenAlexaff
Francisco Ivison Rodrigues Limeira, Diandra Costa Arantes, Daniel José Braga Dutra

Bibliographic record

VenueRevista Multidisciplinar do Nordeste Mineiro · 2020
Typearticle
Languagept
FieldArts and Humanities
TopicForensic Anthropology and Bioarchaeology Studies
Canadian institutionsAdidas (Canada)
Fundersnot available
KeywordsDentistryMedicine

Abstract

fetched live from OpenAlex

This study aimed to perform a literature review about the influence of the ferula effect on the occurrence of failure and clinical survival of fiber-reinforced composite post-andcore restorations. A search was performed in the PubMed / MEDLINE, Scopus and Cochrane Library databases. A search strategy centered on terms related to DM and PA was used, using the following MESH terms: "Ferrule", "Ferrule effect", "Fiber posts" and "Post and Core Technique". Articles published until July 2019 were reviewed. After the search, it was possible to observe only 4 clinical studies investigating the influence of the ferula effect on the occurrence of failure and clinical survival of fiber-reinforced composite post-and-core restorations. It was observed that the preservation of at least one coronary wall helped to reduce the occurrence of failures and increase the survival of teeth restored using fiber posts. In addition, fiber post placement also made a significant contribution to failure and survival rates. Survival rates ranged from 72.5% to 95% in the teeth with ferula groups and from 62.5% to 95.2% in the groups without ferula effect. However, only one study showed difference in survival of restored teeth, with the ferula effect favoring survival. Thus, it was possible to conclude that the ferula effect does not seem to significantly influence the reduction of failure rates and the increased survival of fiber-reinforced composite post-and-core restorations. However, there are still few studies related to this subject, requiring well-designed clinical trials.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Scholarly communication
Consensus categoriesMeta-epidemiology (narrow), Science and technology studies
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.453
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0000.001
Science and technology studies0.0030.009
Scholarly communication0.0010.001
Open science0.0010.002
Research integrity0.0010.002
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 head0.032
GPT teacher head0.287
Teacher spread0.255 · 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; both teacher heads agree on what is shown here.

Study designNot applicable
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

Citations0
Published2020
Admission routes1
Has abstractyes

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