Silver diamine fluoride (SDF) plus fluoride varnish vs Atraumatic restorative treatment + fluoride varnish (ART+FV): Oral health-related quality of life
- Population
- Children with dental caries
- Intervention
- Silver diamine fluoride (SDF) plus fluoride varnish
- Comparison
- Atraumatic restorative treatment + fluoride varnish (ART+FV)
- Outcome
- Oral health-related quality of life
SDF plus fluoride varnish did not significantly differ from ART plus fluoride varnish for oral health-related quality of life (MD 0.16, 95% CI -0.1 to 0.42; ungraded).
What each review found
Include earlier review versions| Finding | Effect | Studies | GRADE certainty |
|---|---|---|---|
Silver diamine fluoride + fluoride varnish (SDF+FV) vs Atraumatic restorative treatment + fluoride varnish (ART+FV) Oral health-related quality of life (OHRQoL; COHIP-SF) · Children with dental caries (ages ~2-13 years in the pooled trials) · Post-treatment, Pediatric dental care; trials conducted in China, the USA, and Brazil SDF plus fluoride varnish did not significantly differ from ART plus fluoride varnish for oral health-related quality of life (MD 0.16, 95% CI -0.1 to 0.42; ungraded). Silver diamine fluoride and oral health-related quality of life: A review and network meta-analysis. (2022) All outcomes | MD 0.16 [-0.1, 0.42] | 1 study · 246 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 and oral health-related quality of life: A review and network meta-analysis. 2022 All outcomes | 30 July 2021 | 10 | Critically Low / Critically Low |
Studies behind the findings
The primary studies the full-text reviews tie to this outcome. Reviews with headline outcomes only do not list them here.
- Silver diamine fluoride, atraumatic restorations, and oral health-related quality of life - Results from the <i>CariedAway</i> cluster… · 2021 · included by 1 of these review
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.