Question · asked by 1 review

Non-syndromic cleft lip and palate (CLP) status and its oral microbiota (exposure/grouping) vs Children and adolescents aged 0-18 years without CLP (controls): Streptococcus mutans count

Population
Children and adolescents aged 0-18 years with non-syndromic cleft lip and palate (CLP)
Intervention
Non-syndromic cleft lip and palate (CLP) status and its oral microbiota (exposure/grouping)
Comparison
Children and adolescents aged 0-18 years without CLP (controls)
Outcome
Streptococcus mutans count

A meta-analysis of 2 studies found no difference in mean Streptococcus mutans levels between children with and without CLP, with very high heterogeneity; the evidence is ungraded.

What each review found

Include earlier review versions
FindingEffectStudiesGRADE certainty
Non-syndromic cleft lip and palate (CLP) status and its oral microbiota (exposure/grouping) vs Children and adolescents aged 0-18 years without CLP (controls)
Streptococcus mutans salivary/plaque counts (cariogenic microbiota) · Children and adolescents aged 0-18 years with non-syndromic cleft lip and palate (CLP) · Multiple countries; pediatric cleft/craniofacial care; saliva, dental plaque, subgingival plaque and nasal/oropharyngeal samples
A meta-analysis of 2 studies found no difference in mean Streptococcus mutans levels between children with and without CLP, with very high heterogeneity; the evidence is ungraded.
Characterization of the oral microbiota and the relationship of the oral microbiota with the dental and… (2024) All outcomes
Two studies were analyzed that reported the outcome in means of the presence of Streptococcus mutans, and that there was no difference between the means for healthy patients and those with CLP. The results of these…2 studiesGRADE not reported

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

The reviews

ReviewSearched up toIncluded studiesAMSTAR 2
Characterization of the oral microbiota and the relationship of the oral microbiota with the dental and periodontal status in children and…
2024 All outcomes
Publications from 1 January 1985 to 30 June 2020 (search date not separately reported)24Not applicable
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.