Effectiveness of Silver Diamine Fluoride in Preventing and Arresting Dental Caries in Young Children: A Scoping Review
Bibliographic record
Abstract
Objectives: Dental caries presents a worldwide health issue that results in significant pain and infection among numerous children. Nevertheless, it is more common among children from lower socio-economic backgrounds, and cavitated carious lesions in children are predominantly left untreated. Numerous clinical studies have demonstrated that, the advancement of dental caries in young children is easily arrested through the application of SDF solution. To assess the effectiveness of silver diamine fluoride (SDF) in preventing and arresting dental caries in paediatric dental care. Methods: This scoping review examined 20 randomized clinical trials from various countries, published between 1990 and 2024, concentrating on the efficacy of SDF in preventing or halting dental caries in young children. This review employed clearly defined inclusion and exclusion criteria to guarantee the relevance and quality of the chosen studies. Results: Findings indicate that, the application of SDF is a successful and effective approach for arresting the caries process in dentin and enamel in primary teeth as well as the permanent first molars in children. Also, it provides a feasible, economical, and minimally invasive treatment alternative, which is especially appropriate for families and communities with limited resources. However, aesthetic concerns, such as black staining of lesions, remain a drawback. Conclusion: SDF demonstrated superior effectiveness in preventing and arresting dental caries in children especially when applied two times a year. The reviewed clinical trials yielded a comprehensive understanding of SDF, that can influence public health policy and suggesting shift towards minimally invasive treatment in young children.
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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 | 0.005 | 0.016 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.004 | 0.004 |
| Bibliometrics | 0.009 | 0.007 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".