Question · asked by 1 review
Hyaluronic acid gel (brushing) vs Chlorhexidine, 0.2% to 2% (solution or gel): Plaque
- Population
- Adults with dental implants and healthy peri-implant soft tissues at baseline
- Intervention
- Hyaluronic acid gel (brushing)
- Comparison
- Chlorhexidine, 0.2% to 2% (solution or gel)
- Outcome
- Plaque
Hyaluronic acid gel (brushing) showed no clear difference in plaque compared with chlorhexidine gel (brushing); GRADE not reported.
What each review found
Current versions onlyNo studies found 0 · 0%GRADE not reported 2 · 100%Very low 0 · 0%Low 0 · 0%Moderate 0 · 0%High 0 · 0%
| Finding | Effect | Studies | GRADE certainty |
|---|---|---|---|
Hyaluronic acid gel (brushing) vs Chlorhexidine gel (brushing) Plaque · Adults with dental implants and healthy peri-implant soft tissues at baseline · 6 months Hyaluronic acid gel (brushing) showed no clear difference in plaque compared with chlorhexidine gel (brushing); GRADE not reported. Interventions for replacing missing teeth: maintaining and recovering soft tissue health around dental… (2010) · Cochrane All outcomes | MD -0.47 [-1.08, 0.14] | 1 study · 30 participants | GRADE not reported |
Hyaluronic acid gel (brushing) vs Chlorhexidine gel (brushing) Plaque · Adults with dental implants and healthy peri-implant soft tissues at baseline · 6 months Interventions for replacing missing teeth: maintaining and recovering soft tissue health around dental… (2008) · Cochrane All outcomesearlier version CD003069.PUB3, superseded | After 6 months no differences in plaque were found (Modified plaque index, Mombelli) | 1 study · 30 participants | GRADE not reported |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 |
|---|---|---|---|
| Interventions for replacing missing teeth: maintaining and recovering soft tissue health around dental implants 2010 · Cochrane All outcomes | 2010-06-02 | 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.