Question · asked by 1 review

38% silver diamine fluoride vs Active dentine caries at baseline (single-arm before vs after proportion): Arrest of dentine caries

Population
Children with dentine caries in primary and permanent teeth
Intervention
38% silver diamine fluoride
Comparison
Active dentine caries at baseline (single-arm before vs after proportion)
Outcome
Arrest of dentine caries

Professionally applied 38% silver diamine fluoride arrested about two-thirds of active dentine caries surfaces in children (pooled proportion 65.9%, 95% CI 41.2% to 90.7%; 5 studies); certainty was not GRADE-rated and heterogeneity was very high (I2=96%).

What each review found

Current versions only
FindingEffectStudiesGRADE certainty
Professionally applied 38% silver diamine fluoride (SDF) vs Active dentine caries at baseline (single-arm before vs after proportion)
Arrest of dentine caries (proportion of surfaces arrested) · Children with active dentine caries (primary and permanent teeth) · Children in clinical dental settings
Professionally applied 38% silver diamine fluoride arrested about two-thirds of active dentine caries surfaces in children (pooled proportion 65.9%, 95% CI 41.2% to 90.7%; 5 studies); certainty was not GRADE-rated and heterogeneity was very high (I2=96%).
Caries remineralisation and arresting effect in children by professionally applied fluoride treatment - a… (2016) All outcomes
Proportion 0.659 [0.412, 0.907]5 studiesGRADE not reported

Findings are shown side by side, never pooled across reviews.

The reviews

ReviewSearched up toIncluded studiesAMSTAR 2
Caries remineralisation and arresting effect in children by professionally applied fluoride treatment - a systematic review.
2016 All outcomes
Publications from 1948 to 2014 (search date not reported)17Critically 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.

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.