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Record W1598832991 · doi:10.1111/scd.12077

Evaluation of periodontal disease and oral inflammatory load in adults with special needs using oral neutrophil quantification

2014· article· en· W1598832991 on OpenAlexafffund
Anita Moosani, Michael Sigal, Michael Glogauer, Herenia P. Lawrence, Michael B. Goldberg, Howard C. Tenenbaum

Bibliographic record

VenueSpecial Care in Dentistry · 2014
Typearticle
Languageen
FieldDentistry
TopicOral microbiology and periodontitis research
Canadian institutionsCanadian Institutes of Health ResearchUniversity of TorontoHolland Bloorview Kids Rehabilitation HospitalMount Sinai Hospital
FundersCanadian Institutes of Health Research
KeywordsMedicinePeriodontal diseaseDiseaseOral healthDentistryInternal medicine

Abstract

fetched live from OpenAlex

The purpose of this study was to validate and assess the feasibility of using an assay of oral neutrophils to measure periodontal inflammation in uncooperative adults with special needs. Conventional periodontal measurements and neutrophil counts obtained from oral swabs were performed on patients having dental care under general anesthesia (GA) and at subsequent recall. Forty-nine patients were assessed under GA and 30 (61%) returned for follow-up. A high prevalence of gingival inflammation was found at baseline and oral neutrophil levels positively correlated with traditional periodontal parameters (p < 0.05). Neutrophils were acquired using swabs for 100% of patients examined at recall and a significant reduction in oral inflammatory load was noted after a single treatment session (p < 0.05), despite the persistence of poor oral hygiene and prolonged recall intervals. This study demonstrates that oral neutrophil quantification may serve as a novel and standardized method for clinical assessment of periodontal diseases in people with special needs.

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)0.000
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 score0.063
Threshold uncertainty score0.953

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.030
GPT teacher head0.317
Teacher spread0.287 · 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
Published2014
Admission routes2
Has abstractyes

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