Question · asked by 1 review
Silver diamine fluoride (SDF >=30%, i.e. 30% or 38%), applied annually or biannually vs No treatment or another non-invasive/minimally-invasive treatment (ART, sodium fluoride or silver-based varnish, or 12% SDF): Caries arrest
- Population
- Children (age 1-10 years) with active cavitated dentin caries lesions in primary molars
- Intervention
- Silver diamine fluoride (SDF >=30%, i.e. 30% or 38%), applied annually or biannually
- Comparison
- No treatment or another non-invasive/minimally-invasive treatment (ART, sodium fluoride or silver-based varnish, or 12% SDF)
- Outcome
- Caries arrest
The pooled caries arrest rate with SDF (>=30%, applied annually/biannually) was 51.62% (622/1205 lesions arrested) at >=12 months follow-up.
What each review found
Current versions only| Finding | Effect | Studies | GRADE certainty |
|---|---|---|---|
Silver diamine fluoride (SDF >=30%, i.e. 30% or 38%), applied annually or biannually vs No treatment or another non-invasive/minimally-invasive treatment (ART, sodium fluoride or silver-based varnish, or 12% SDF) Caries arrest rate (absolute proportion of lesions arrested) · Children (age 1-10 years) with active cavitated dentin caries lesions in primary molars · Follow-up >=12 months, Pediatric dental care in hospital, community/school and outpatient settings (Saudi Arabia, China, India, Brazil, Spain) The pooled caries arrest rate with SDF (>=30%, applied annually/biannually) was 51.62% (622/1205 lesions arrested) at >=12 months follow-up. Silver Diamine Fluoride (SDF) Efficacy in Arresting Cavitated Caries Lesions in Primary Molars: A Systematic… (2022) All outcomes | Proportion 0.5162 | 5 studies · 1205 participants | GRADE not reported |
Findings are shown side by side, never pooled across reviews.
The reviews
| Review | Searched up to | Included studies | AMSTAR 2 |
|---|---|---|---|
| Silver Diamine Fluoride (SDF) Efficacy in Arresting Cavitated Caries Lesions in Primary Molars: A Systematic Review and Metanalysis. 2022 All outcomes | 10 January 2022 (databases searched from inception to 10 January 2022) | 16 | Critically Low / Critically Low |
How reviews are matched to this question
Reviews word the same question differently. Four decision models (TypeSafe's Jev, Liquid AI's d1-ultra, SubQ Snap and Baseten's Elephant) judged each wording of the population, intervention, comparator and outcome against the others; two wordings count as the same when at least three of them agree and none clearly disagrees, and findings count as this question only when all four elements match. Timing, setting and subgroup never split a question: they are shown on each finding.