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Record W2181991397

Periodontal diseases among Quebec adults aged 35 to 44 years.

2001· article· en· W2181991397 on OpenAlexaffabout
Brodeur Jm, M Payette, M Beniger, Anne Charbonneau, Marie Olivier, Denis Chabot

Bibliographic record

VenuePubMed · 2001
Typearticle
Languageen
FieldDentistry
TopicOral microbiology and periodontitis research
Canadian institutionsUniversité de Montréal
Fundersnot available
KeywordsMedicineDentistryGingival and periodontal pocketPopulationMetropolitan areaBleeding on probingTooth brushingTooth lossOral healthCalculus (dental)Family medicinePeriodontitisEnvironmental health
DOInot available

Abstract

fetched live from OpenAlex

BACKGROUND: Very little information is available on periodontal diseases in Canadian adults. The purpose of this study was to estimate the prevalence of periodontal problems in Quebec adults aged 35 to 44. METHODS: A total of 2,110 randomly selected Quebec adults were examined between September 1994 and July 1995. The participation rate was 77% for the questionnaire and 44.5% for the oral examination. Measurements for gingival bleeding, calculus, epithelial attachment and periodontal pocket depths were taken for each tooth. RESULTS: More than 80% of examined persons presented with gingival bleeding on at least one tooth, and 75% presented with calculus on at least one tooth. The CPITN indicated that only 5.2% of individuals had no treatment needs, and that one out of 5 necessitated complex treatment. People with low family income, men and persons living in metropolitan areas are at higher risk of having at least one tooth with a pocket >6 mm. Dental health behaviours (regular dental visits, brushing and flossing frequency) were not significantly associated with the presence of periodontal pockets. Finally, individuals were relatively unaware of their periodontal problems. CONCLUSION: Increasing the population s awareness of periodontal diseases will be a major task for public health workers. The dental profession and the dental industry need to develop awareness campaigns to improve prevention, management and control of periodontal problems. It is especially important to target people at risk, in particular men and low-income groups. As well, dental schools and continuing education courses should focus on this problem with the aim of modifying dental practices.

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)0.000
metaresearch head score (Gemma)0.001
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 score0.013
Threshold uncertainty score0.055

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0020.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0040.000

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 head0.015
GPT teacher head0.248
Teacher spread0.233 · 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

Citations29
Published2001
Admission routes2
Has abstractyes

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