Potassium containing toothpaste (5% potassium nitrate) vs Placebo toothpaste (without potassium nitrate): Subjective assessment of sensitivity
- Population
- Healthy human adults (18 years or more) with dentine hypersensitivity from exposed root surfaces
- Intervention
- Potassium containing toothpaste (5% potassium nitrate)
- Comparison
- Placebo toothpaste (without potassium nitrate)
- Outcome
- Subjective assessment of sensitivity
Potassium nitrate toothpaste (5%) showed no clear difference in subjective assessment of sensitivity compared with placebo toothpaste (without potassium nitrate); GRADE not reported.
What each review found
Current versions only| Finding | Effect | Studies | GRADE certainty |
|---|---|---|---|
Potassium nitrate toothpaste (5%) vs Placebo toothpaste (without potassium nitrate) Subjective assessment of sensitivity · Healthy human adults (18 years or more) with dentine hypersensitivity from exposed root surfaces · 6 to 8 weeks Potassium nitrate toothpaste (5%) showed no clear difference in subjective assessment of sensitivity compared with placebo toothpaste (without potassium nitrate); GRADE not reported. Potassium containing toothpastes for dentine hypersensitivity (2000) · Cochrane All outcomesearlier version CD001476, superseded | SMD -0.67 [-1.44, 0.10] | 3 studies · 206 participants | GRADE not reported |
Findings are shown side by side, never pooled across reviews.
The reviews
| Review | Searched up to | Included studies | AMSTAR 2 |
|---|---|---|---|
| Potassium containing toothpastes for dentine hypersensitivity 2006 · Cochrane All outcomes | 2005-09 | Not listed | Not assessed |
Related questions
The same intervention and outcome, asked in another population or against another comparator.
- Potassium containing toothpaste (5% potassium nitrate) vs Control toothpaste (without potassium) · Healthy human adults (18 years or more) with dentine hypersensitivity from exposed root… · 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.