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Record W7033046128

Oral health and microflora in an institutionalised elderly population in Canada

2010· article· en· W7033046128 on OpenAlexaboutno aff

Bibliographic record

VenueThe HKU Scholars Hub (University of Hong Kong) · 2010
Typearticle
Languageen
FieldEngineering
TopicMilitary Technology and Strategies
Canadian institutionsnot available
Fundersnot available
KeywordsDenturesOral healthOral hygieneRoot cariesPopulationStomatitisOral cavity
DOInot available

Abstract

fetched live from OpenAlex

A cross sectional study was undertaken to assess the oral health of a group of elderly, long-term care, institutionalised residents in a facility in Edmonton, Canada. In addition, the oral occurrence of Candida and coliform micro-organisms was evaluated to examine the relationship between oral health status and oral prevalence of these opportunistic pathogens. The mean age of 63 examined individuals was 83.4 (± 17.6) years; 28.6 per cent were dentate with a DMF score of 22.4; 4.5 per cent of teeth exhibited root caries. Of the edentate, 55.5 per cent were wearing complete maxillary and mandibular dentures; 59 per cent of the maxillary dentures and 20 per cent of mandibular dentures were found to exhibit good retention and stability while the remaining prostheses were deemed to be poor; 17 per cent of individuals had neither teeth or dentures. Denture stomatitis was the most common mucosal lesion and was found amongst one third of the denture wearers. Three quarters of the residents harboured oral yeasts, 30 per cent coliforms and a significant number exhibited poor oral hygiene and oral pathoses for which remedial treatment was readily available in the form of subsidised dental care. © 1999 FDI/World Dental Press.

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)0.000
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 score0.413
Threshold uncertainty score0.433

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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)0.0000.000

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 head0.010
GPT teacher head0.193
Teacher spread0.183 · 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

Citations0
Published2010
Admission routes1
Has abstractyes

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