Dental Caries Experience in Elementary School Students in Quebec: Surveillance Study Using ICDAS II.
Bibliographic record
Abstract
OBJECTIVES: The main objective of a 2012-2013 clinical study on the oral health of Quebec elementary school students was to assess the oral health status of Grade 2 and Grade 6 students. We assessed various stages of caries and created caries indicators for primary and permanent dentitions combined. METHODS: Oral health examination of 2875 Grade 2 students and 2788 Grade 6 students, enrolled in public and private, French- and English-language schools, was carried out at schools. The examinations were performed by 16 trained and calibrated dentists using International Caries Detection and Assessment System (ICDAS) II criteria. A 3-level sampling design ensured that the study was representative for the province of Quebec. RESULTS: Mean indexes for decayed, missing, filled primary teeth (dmft) and secondary teeth (DMFT) or surfaces (dmfs and DMFS) for all stages of caries were as follows. Grade 2 students: dmft 3.96, DMFT 1.88, dmft + DMFT 5.84, dmfs 8.33, DMFS 2.96 and dmfs + DMFS 11.28. Grade 6 students: dmft 1.94, DMFT 4.98, dmft + DMFT 5.98, dmfs 4.04, DMFS 7.86 and dmfs + DMFS 9.96. Most students (90% for Grade 2 and 92% for Grade 6) had a dmfs + DMFS > 0. CONCLUSION: Tooth decay remains a public health problem in Quebec. The findings testify to the importance of reinforcing preventive measures to better control dental caries among youth. It is advantageous to use ICDAS II in the context of oral health surveillance at a population level and to present the results as a combination of primary and permanent dentitions.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".