Effect of povidone-iodine on Streptococcus mutans in children with extensive dental caries.
Bibliographic record
Abstract
PURPOSE: The purpose of this pilot project was to determine the effect of a 10% povidone-iodine solution on plaque Streptococcus mutans and on incidence of new caries in young children following dental rehabilitation under general anesthesia. METHODS: Twenty-five children ages 2 to 7 years, scheduled for dental treatment under general anesthesia, were enrolled. Children in the experimental group (N = 13) had povidone-iodine applied 3 times at 2-month intervals. Control children (N = 12) had no treatment. Plaque samples were taken from all children at baseline, 6 months and cultured for total bacteria and S mutans. Dental examinations were conducted at baseline, 6 months, and 1 year. RESULTS: Experimental and control children had similar dietary habits, caries experience, and S mutans levels at baseline. All children's S mutans counts decreased significantly at 6 months (P = .003). The difference between the 2 groups was not significant (P = .58). At 1 year, 5 of 8 children in the control group had new caries compared to 2 of 11 children in the experimental group (P = .06). Povidone-iodine was well accepted by participating families. CONCLUSIONS: Extensive one-time restorative dental treatment resulted in a significant suppression S mutans levels at 6 months. Further exploration of the role of povidone-iodine in caries management is indicated.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 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) | 0.001 | 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".