Impacts of oligodontia on oral health-related quality of life reported by affected children and their parents
Bibliographic record
Abstract
BACKGROUND: Oligodontia (agenesis of six or more permanent teeth) affects functional, emotional, and social aspects of an individual's life. Few published studies have evaluated oral health-related quality of life (OHRQoL) in children with oligodontia and very limited have compared the child and parental perceptions. METHODS: Thirty-five 8- to 18-year-old patients with oligodontia (10 M, 25 F; mean age: 12.4 ± 2.9 years; mean number of permanent teeth missing due to agenesis: 8.9 ± 3.2) recruited from The Hospital for Sick Children, Toronto, and Holland Bloorview Kids Rehabilitation Hospital, Toronto, and their parents completed the short format of Child Perception Questionnaire (CPQ11-14) and the Parent Child Perception Questionnaire, respectively. RESULTS: Children reported significantly worse overall CPQ score than their parents. Correlations between children's and parents' overall CPQ score, oral symptoms and functional limitations, and social well-being were not statistically significant. However, as children's emotional well-being score increased, parents' score also increased. There was no association between child CPQ score and age, gender, number, and location of permanent tooth agenesis in this sample. There was a significant correlation between overall CPQ score and Site-Specific Tooth Absences. CONCLUSION: Children's overall CPQ score and domain scores were significantly worse than their parents indicating that children with oligodontia had poorer OHRQoL compared to what was perceived by their parents.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".