Question · asked by 1 review
Rubber dam isolation and moisture control (alone or with saliva aspiration) vs Cotton rolls (with or without saliva aspiration): Clinical evaluation of restoration's quality
- Population
- Dental patients undergoing direct or indirect restorative treatment (no age or gender restriction)
- Intervention
- Rubber dam isolation and moisture control (alone or with saliva aspiration)
- Comparison
- Cotton rolls (with or without saliva aspiration)
- Outcome
- Clinical evaluation of restoration's quality
What each review found
Include earlier review versions| Finding | Effect | Studies | GRADE certainty |
|---|---|---|---|
Rubber dam isolation and moisture control (alone or with saliva aspiration) vs Cotton rolls (with or without saliva aspiration) Clinical evaluation of restoration's quality · Dental patients undergoing direct or indirect restorative treatment (no age or gender restriction) · 6, 12, 18 months, Non-carious cervical lesions (composite restoration) Rubber dam isolation for restorative treatment in dental patients (2021) · Cochrane All outcomes | Loguercio 2015: no significant differences (P>0.05) in marginal staining and marginal adaptation of NCCL restorations between rubber dam and cotton rolls/retraction cords at 6, 12 and 18 months. | 1 study · 30 participants | GRADE not reported |
Findings are shown side by side, never pooled across reviews.
The reviews
| Review | Searched up to | Included studies | AMSTAR 2 |
|---|---|---|---|
| Rubber dam isolation for restorative treatment in dental patients 2021 · Cochrane All outcomes | 2021-01 | Not listed | Not assessed |
Related questions
The same intervention and outcome, asked in another population or against another comparator.
- Rubber dam isolation and moisture control (alone or with saliva aspiration) vs Alternative isolation/moisture control, e.g. cotton rolls (with or without same active treatment) · Dental patients undergoing direct or indirect restorative treatment (no age or gender… · 0 reviews
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.