Consumption of xylitol chewing gum by women (mothers) vs Consumption of CHX/xylitol gum by women, or CHX varnish applied to women's dentition: Caries presence in primary teeth
- Population
- For interventions, pregnant women and mothers of infants in the first year of life; for outcomes, children up to 6 years of age
- Intervention
- Consumption of xylitol chewing gum by women (mothers)
- Comparison
- Consumption of CHX/xylitol gum by women, or CHX varnish applied to women's dentition
- Outcome
- Caries presence in primary teeth
It is very uncertain whether consumption of xylitol chewing gum by women (mothers) changes caries presence in primary teeth compared with consumption of CHX/xylitol gum by women, or CHX varnish applied to… (very low certainty).
What each review found
Include earlier review versions| Finding | Effect | Studies | GRADE certainty |
|---|---|---|---|
Consumption of xylitol chewing gum by women (mothers) vs Consumption of CHX/xylitol gum by women, or CHX varnish applied to women's dentition Caries presence in primary teeth · For interventions, pregnant women and mothers of infants in the first year of life; for outcomes, children up to 6… · Children assessed at 4 yrs It is very uncertain whether consumption of xylitol chewing gum by women (mothers) changes caries presence in primary teeth compared with consumption of CHX/xylitol gum by women, or CHX varnish applied to… (very low certainty). Interventions with pregnant women, new mothers and other primary caregivers for preventing early childhood… (2024) · Cochrane All outcomes | RR 0.62 [0.27, 1.39] | 1 study · 96 participants | Very low |
Findings are shown side by side, never pooled across reviews.
The reviews
| Review | Searched up to | Included studies | AMSTAR 2 |
|---|---|---|---|
| Interventions with pregnant women, new mothers and other primary caregivers for preventing early childhood caries 2024 · Cochrane All outcomes | 2023-01 | Not listed | Not assessed |
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.