Question · asked by 0 reviews
Triclosan/copolymer-containing fluoride toothpaste vs Fluoride toothpaste without triclosan: Participant-centred outcomes (quality of life; satisfaction with product)
- Population
- Children and adults (aged 16 years or less classified as children, over 16 as adults); excludes participants with periodontitis at baseline, those selected for a pre-existing health condition, and studies where the majority wear orthodontic appliances
- Intervention
- Triclosan/copolymer-containing fluoride toothpaste
- Comparison
- Fluoride toothpaste without triclosan
- Outcome
- Participant-centred outcomes (quality of life; satisfaction with product)
The review found no eligible studies for this question.
What each review found
Current versions only| Finding | Effect | Studies | GRADE certainty |
|---|---|---|---|
Triclosan/copolymer-containing fluoride toothpaste vs Fluoride toothpaste without triclosan Patient-centred outcomes: quality of life scores; satisfaction with product · Children and adults (aged 16 years or less classified as children, over 16 as adults); excludes participants with… · 6 months of follow-up or longer The review found no eligible studies for this question. Triclosan/copolymer containing toothpastes for oral health (2013) · Cochrane All outcomesearlier version CD010514, superseded | no estimate extracted | Not reported | No studies found |
Findings are shown side by side, never pooled across reviews.
The reviews
| Review | Searched up to | Included studies | AMSTAR 2 |
|---|---|---|---|
| Triclosan/copolymer containing toothpastes for oral health 2013 · Cochrane All outcomes | 2013-08 | Not listed | Not assessed |
Related questions
The same intervention and outcome, asked in another population or against another comparator.
- Triclosan/copolymer-containing fluoride toothpaste vs Fluoride toothpaste without triclosan · Children and adults (aged 16 years or less = children, over 16 = adults) without… · 1 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.