Dental caries vs Caries-free status: Oral microbial community composition and diversity (other caries-associated taxa; alpha- and beta-diversity)
No oral microbial taxon other than S. mutans was consistently associated with caries; alpha-diversity mostly did not differ between caries-active and caries-free groups and beta-diversity findings were mixed (ungraded, narrative).
What each review found
Include earlier review versions| Finding | Effect | Studies | GRADE certainty |
|---|---|---|---|
Caries-active status (presence of dental caries) vs Caries-free status Oral microbial community composition and diversity (other caries-associated taxa; alpha- and beta-diversity) · Systemically healthy individuals (children and adults, aged 40 months to 50 years) assessed for dental caries · Cross-sectional, Clinical oral-microbiome studies; saliva and/or supragingival plaque samples; 7 countries; DNA/RNA-based sequencing or microarray No oral microbial taxon other than S. mutans was consistently associated with caries; alpha-diversity mostly did not differ between caries-active and caries-free groups and beta-diversity findings were mixed (ungraded, narrative). Streptococcus mutans and Caries: A Systematic Review and Meta-Analysis. (2025) All outcomes | Narrative synthesis (no pooled estimate): no bacterial genus or species other than S. mutans was consistently (reported in more than 2 studies) associated with caries-active status (Table 3; 15 of 19 studies for… | 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 |
|---|---|---|---|
| Streptococcus mutans and Caries: A Systematic Review and Meta-Analysis. 2025 All outcomes | May 22, 2023 | 20 | Not applicable |
Studies behind the findings
None of these reviews ties its included studies to this outcome in the data here. Cochrane reviews and reviews with headline outcomes only do not list their studies yet.
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.