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Record W1960572040

INFLUÊNCIA DO USO DE CRANBERRY NA SAÚDE SISTÊMICA E BUCAL / INFLUENCE OF THE USE OF CRANBERRY IN SYSTEMIC AND ORAL HEALTH

2015· article· pt· W1960572040 on OpenAlexaboutno aff
Marcos José Custodio Neto Silva, Flávia Carvalho de Oliveira Paixão, Adriana de Fátima Vasconcelos Pereira

Bibliographic record

VenueLA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Científicas) · 2015
Typearticle
Languagept
FieldDentistry
TopicOral microbiology and periodontitis research
Canadian institutionsnot available
Fundersnot available
KeywordsOral healthHumanitiesMedicineArtDentistry
DOInot available

Abstract

fetched live from OpenAlex

Introdução: Cranberry é uma fruta vermelha nativa dos Estados Unidos e Canadá, cujas propriedades medicinais têm despertado o interesse tanto no campo da Medicina quanto da Odontologia. Objetivo: Este trabalho teve o propósito de abordar as propriedades e os meios pelos quais os componentes presentes no cranberry agem em relação a algumas alterações sistêmicas e bucais, através de revisão de literatura. Métodos: Foram consultadas as bases de dados Pubmed, Lilacs e Scielo, utilizando-se as palavras-chave: Cranberry, systemic health, periodontal diseases, periodontopathogen, biofilm and cytokines no período de 2004 a 2013. Resultados: Foram encontrados 52 artigos. Após análise, 45 trabalhos foram utilizados nesta revisão. Destes, 10 eram revisões de literatura, 26 estudos clínicos e 9 estudos in vitro. Cranberry possui um amplo espectro de ação, atuando como agente terapêutico/preventivo em doenças cardiovasculares, gastrointestinais e renais, bem como na inibição de formação do biofilme dental e a interação com enzimas associadas com sua formação, limitando a coagregação bacteriana, especialmente de espécies gram negativas, e impedindo a adesão tardia de periodontopatógenos ao biofilme. Conclusão: Cranberry, principalmente o componente fenólico proantocianidina do tipo A, possui excelentes propriedades terapêuticas para a saúde humana e atua como coadjuvante ao tratamento da doença periodontal.Palavras-chave: Sistema imunológico. Doenças periodontais. Biofilme. Tratamento.AbstractIntroduction: The cranberry is a red fruit native to the United States and Canada, whose medicinal properties have attracted the interest both in medicine and in dentistry. Objective: The aim of this study was to address the properties and the ways by which the components present in cranberry act in relation to some systemic and oral alterations, through literature review. Methods: It were consulted the Pubmed, Lilacs and Scielo databases, using the keywords Cranberry, systemic health, periodontal diseases, periodontopathogen, biofilm and cytokines, from 2004 to 2013. Results: were found 52 articles. After the analysis, 45 were used in this study. From these, 10 literature reviews, 26 clinical trials and 9 in vitro studies. The cranberry has a broad spectrum of action, acting as therapeutic/preventive agent in cardiovascular, gastrointestinal and renal diseases, as well as in the inhibition of dental biofilm formation and the interaction with enzymes associated with its formation, limiting bacterial coaggregation, especially of gram-negative species, and preventing late adherence of periodontopathogens to the biofilm. Conclusion: Cranberry, mainly the phenolic component proanthocyanidin type A, has excellent therapeutic properties for human health and acts as an adjunct to treatment of periodontal diseases.Keywords: Immune system. Periodontal diseases. Biofilm. Treatment.

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)0.006
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 score0.025
Threshold uncertainty score0.050

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.003
Science and technology studies0.0010.001
Scholarly communication0.0020.001
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.056
GPT teacher head0.300
Teacher spread0.245 · 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

Citations0
Published2015
Admission routes1
Has abstractyes

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