Relationship between type-I diabetes mellitus and oral health status and oral health-related quality of life among children of Saudi Arabia
Bibliographic record
Abstract
INTRODUCTION: The study was conducted to assess the impact of oral health status on the oral health-related quality of life (OHRQOL) of children between 12 and 15 years with type-1 diabetes mellitus (IDDM) in Saudi Arabia and compare these findings to age and gender matched medically fit children. MATERIALS AND METHOD: -test was used to compare the DMFT, Gingival index, and COHIP19 domains of the two groups. RESULTS: = 0.003). CONCLUSION: Children with IDDM had better oral health both in terms of dental caries and gingival status when compared to their age-matched controls. However, they had significantly higher oral health domains that suggest a poorer overall OHRQoL in children with IDDM.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".