Conventional restorative treatment with resin composite (CRT-RC) vs Sealing: Treatment success (caries lesion arrest or restoration survival)
Conventional restorative treatment with resin composite gave a higher treatment success rate than resin sealing for outer-half occlusal dentin caries in primary teeth (2 studies; low certainty).
What each review found
Include earlier review versions| Finding | Effect | Studies | GRADE certainty |
|---|---|---|---|
Conventional restorative treatment with resin composite (CRT-RC) vs Sealing (resin sealant over caries) Treatment success rate (survival/success of restoration) · Children with dentin caries lesions in the outer half of dentin on occlusal surfaces of primary teeth · Mixed follow-up (6 months to 1.5 years; pooled), Dental clinic; children in Brazil (Borges 2012, Hesse 2014) Conventional restorative treatment with resin composite gave a higher treatment success rate than resin sealing for outer-half occlusal dentin caries in primary teeth (2 studies; low certainty). Scientific evidence for the management of dentin caries lesions in pediatric dentistry: A systematic review… (2018) All outcomes | RR 1.20 [1.06, 1.37] | 2 studies · 66 participants | Low |
Findings are shown side by side, never pooled across reviews.
The reviews
| Review | Searched up to | Included studies | AMSTAR 2 |
|---|---|---|---|
| Scientific evidence for the management of dentin caries lesions in pediatric dentistry: A systematic review and network meta-analysis. 2018 All outcomes | December 14, 2017 | 15 | 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.
- Sealing versus partial caries removal in primary molars: a randomized clinical trial. · 2014 · included by 1 of these review
- Efficacy of a non-drilling approach to manage non-cavitated dentin occlusal caries in primary molars: a 12-month randomized controlled… · 2012 · 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.