Observed population vs Not applicable: Dental caries prevalence
- Population
- Preschool children attending Al Ain pediatric dentistry department
- Intervention
- Observed population
- Comparison
- Not applicable
- Outcome
- Dental caries prevalence
Dental caries prevalence was 99.4%.
What each review found
Include earlier review versions| Finding | Effect | Studies | GRADE certainty |
|---|---|---|---|
Observed population vs Not applicable Dental caries prevalence · Preschool children attending Al Ain pediatric dentistry department · Overall Dental caries prevalence was 99.4%. Oral Health of Children and Adolescents in the United Arab Emirates: A Systematic Review of the Past Decade. (2021) All outcomes | Prevalence 99.4 | 1 study · 176 participants | GRADE not reported |
Findings are shown side by side, never pooled across reviews.
The reviews
| Review | Searched up to | Included studies | AMSTAR 2 |
|---|---|---|---|
| Oral Health of Children and Adolescents in the United Arab Emirates: A Systematic Review of the Past Decade. 2021 All outcomes | May 4, 2021 | 42 | Not applicable |
Related questions
The same intervention and outcome, asked in another population or against another comparator.
- Observed population vs Not applicable · School children aged 12-14 years in Dubai schools · 1 review
- Observed population vs Not applicable · School children aged 15-17 years in Dubai schools · 1 review
- Observed population vs Not applicable · Emirati preschool children in Ras Al Khaimah nurseries · 1 review
- Observed population vs Not applicable · School children aged 5-7 years in Dubai schools · 1 review
- Observed population vs Not applicable · School children aged 11-17 years in Sharjah · 1 review
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.
- Prevalence of Tooth Wear in Primary Dentition in School Children of Abu Dhabi, UAE · 2016 · 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.