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Record W3003515350 · doi:10.1111/jcpe.13263

Higher intakes of flavonoids are associated with lower salivary IL‐1β and maintenance of periodontal health 3–4 years after scaling and root planing

2020· article· en· W3003515350 on OpenAlexaff
Taylor V. Sparrow, David W. Dodington, Jenalyn L. Yumol, Péter Fritz, Wendy E. Ward

Bibliographic record

VenueJournal Of Clinical Periodontology · 2020
Typearticle
Languageen
FieldDentistry
TopicOral microbiology and periodontitis research
Canadian institutionsBrock University
Fundersnot available
KeywordsMedicineConfoundingScaling and root planingFlavonoidDentistryInternal medicineSalivaPeriodontitisOral healthGastroenterologyChronic periodontitisBiology

Abstract

fetched live from OpenAlex

AIMS: Higher intakes of fruits and vegetables, and vitamin C are associated with improved periodontal healing post-scaling and root planing (SRP). This study determined if this association was sustained at 3-4 years post-SRP, and if flavonoid intake is associated with periodontal health. Whether reduced probing depth (PD) is sustained and whether PD is correlated with salivary IL-1β, IL-6 and CRP at 3-4 years post-SRP were also studied. MATERIALS AND METHODS: Clinical periodontal outcomes, dietary intakes and salivary markers of inflammation were measured in patients (n = 43, 23 females, 37-93 years) who had undergone SRP 3-4 years earlier and had been part of a periodontal maintenance programme. RESULTS: Flavonoid intake was inversely associated with PD (p = .042) and salivary IL-1β concentration (p = .015) after adjustment for multiple confounders. When changes in PD were considered, the association of flavonoid intake with reduced PD became borderline significant (p = .051) but persisted for IL-1β (p = .018). PD at 3-4 years and 2-4 months post-SRP was similar. There was a positive correlation between PD and salivary IL-1β (p = .005) but not with salivary CRP and IL-6. CONCLUSION: Higher flavonoid intake is associated with lower IL-1β. Also, regular supportive periodontal therapy maintained the improved PD at 3-4 years post-SRP regardless of smoking status.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.004
Threshold uncertainty score0.603

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0020.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.054
GPT teacher head0.356
Teacher spread0.303 · 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 teacher head, 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

Citations17
Published2020
Admission routes1
Has abstractyes

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