Question · asked by 1 review
Not applicable (single-group prevalence) vs Not applicable: Dental caries prevalence
- Population
- Children aged 12 years (plus or minus one year) in Africa
- Intervention
- Not applicable (single-group prevalence)
- Comparison
- Not applicable
- Outcome
- Dental caries prevalence
The pooled dental-caries prevalence was 0.3657 (95% CI 0.3065 to 0.4250); GRADE was not reported.
What each review found
Include earlier review versionsNo studies found 0 · 0%GRADE not reported 2 · 100%Very low 0 · 0%Low 0 · 0%Moderate 0 · 0%High 0 · 0%
| Finding | Effect | Studies | GRADE certainty |
|---|---|---|---|
Not applicable vs Not applicable Prevalence of dental caries · Children aged 12 years (plus or minus one year) in Africa · Africa, Overall, urban/rural-status analysis The pooled dental-caries prevalence was 0.3657 (95% CI 0.3065 to 0.4250); GRADE was not reported. Prevalence of dental caries in the permanent dentition amongst 12-year-olds in Africa: a systematic review… (2022) All outcomes | Prevalence 0.3657 [0.3065, 0.4250] | Not reported | GRADE not reported |
Not applicable vs Not applicable Prevalence of dental caries · Children aged 12 years (plus or minus one year) in Africa · Africa, Overall, publication-period analysis The pooled dental-caries prevalence was 0.356 (95% CI 0.294 to 0.417); GRADE was not reported. Prevalence of dental caries in the permanent dentition amongst 12-year-olds in Africa: a systematic review… (2022) All outcomes | Prevalence 0.356 [0.294, 0.417] | Not reported | GRADE not reported |
Findings are shown side by side, never pooled across reviews.
The reviews
| Review | Searched up to | Included studies | AMSTAR 2 |
|---|---|---|---|
| Prevalence of dental caries in the permanent dentition amongst 12-year-olds in Africa: a systematic review and meta-analysis. 2022 All outcomes | January 2000 to December 2021 (search last updated 10 January 2022) | 50 | Not applicable |
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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.