Question · asked by 1 review
Essential oil mouthwash vs Coloured and flavoured 5% hydroalcohol mouthwash: Reduction in level of contamination by particles >5 um (droplets) at <2 m from patient's oral cavity
- Population
- Dental patients undergoing aerosol-generating procedures (AGPs) and the dental healthcare providers treating them
- Intervention
- Essential oil mouthwash
- Comparison
- Coloured and flavoured 5% hydroalcohol mouthwash
- Outcome
- Reduction in level of contamination by particles >5 um (droplets) at <2 m from patient's oral cavity
What each review found
Current versions only| Finding | Effect | Studies | GRADE certainty |
|---|---|---|---|
Essential oil mouthwash C (Listerine) vs Coloured and flavoured 5% hydroalcohol mouthwash Reduction in level of contamination by particles >5 um (droplets) at <2 m from patient's oral cavity · Dental patients undergoing aerosol-generating procedures (AGPs) and the dental healthcare providers treating them · operator level; aerobic culture (cross-over; graph-only, not analysed) Preprocedural mouth rinses for preventing transmission of infectious diseases through aerosols in dental… (2022) · Cochrane All outcomes | One study (Fine 1993a) compared essential oil mouthwash C (Listerine) with coloured and flavoured 5% hydroalcohol mouthwash in a cross-over design for reduction in contamination by particles >5 um at operator level… | 1 study | GRADE not reported |
Findings are shown side by side, never pooled across reviews.
The reviews
| Review | Searched up to | Included studies | AMSTAR 2 |
|---|---|---|---|
| Preprocedural mouth rinses for preventing transmission of infectious diseases through aerosols in dental healthcare providers 2022 · Cochrane All outcomes | 2022-02 | Not listed | Not assessed |
Related questions
The same intervention and outcome, asked in another population or against another comparator.
- Essential oil mouthwash vs Water · Dental patients undergoing aerosol-generating procedures (AGPs) and the dental… · 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.