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Record W2128715753 · doi:10.1017/s0012162200001274

Prevalence of oral health problems in a group of individuals with Down syndrome in France

2000· article· en· W2128715753 on OpenAlexaff
Martine Hennèquin, Paul Allison, J.‐L. Veyrune

Bibliographic record

VenueDevelopmental Medicine & Child Neurology · 2000
Typearticle
Languageen
FieldMedicine
TopicDown syndrome and intellectual disability research
Canadian institutionsMcGill University
Fundersnot available
KeywordsMedicineOral healthSiblingDown syndromePediatricsOral examinationAge groupsDemographyFamily medicinePsychologyPsychiatry

Abstract

fetched live from OpenAlex

This cross-sectional study describes oral health problems in a sample of children with Down syndrome (DS) compared with their siblings. Data were collected using the Oral Assessment - Down Syndrome questionnaire, a validated French language evaluation to be completed by the child's carer. Parents attending a national meeting anonymously answered a questionnaire for their child with DS and for the sibling closest in age and returned their replies by post. Data concerning 204 individuals with DS (103 males, 101 females; mean age 9.6 years) and 161 of their siblings (80 males, 81 females; mean age 11.8 years) were returned. The association between DS status, age, and oral health was analysed. There was a greater frequency of oral health problems in those with DS with regard to function, clinical signs, disability, and development. The prevalence of chewing problems did not improve with age, the prevalence of bleeding gums and mouth breathing increased with age, and that of tongue protrusion reduced with age. Most parents rated the general and oral health of their children with DS highly, although worse than for their siblings.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.014
Threshold uncertainty score0.997

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0040.000

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 head0.025
GPT teacher head0.296
Teacher spread0.271 · 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.

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

Citations70
Published2000
Admission routes1
Has abstractyes

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