Question · asked by 1 review
Guided tissue regeneration (GTR) with barrier membrane (resorbable or non-resorbable) vs Open flap debridement (access flap surgery): Post-operative adverse events and complications
- Population
- Patients with chronic periodontitis (aged 21 years or older) with periodontal infra-bony defects; furcation-involved teeth and aggressive periodontitis excluded
- Intervention
- Guided tissue regeneration (GTR) with barrier membrane (resorbable or non-resorbable)
- Comparison
- Open flap debridement (access flap surgery)
- Outcome
- Post-operative adverse events and complications
What each review found
Current versions only| Finding | Effect | Studies | GRADE certainty |
|---|---|---|---|
Guided tissue regeneration (GTR) with barrier membrane (resorbable or non-resorbable) vs Open flap debridement (access flap surgery) Post-operative complications / adverse effects (including pain, infection) · Patients with chronic periodontitis (aged 21 years or older) with periodontal infra-bony defects; furcation-involved… Guided tissue regeneration for periodontal infra-bony defects (2006) · Cochrane All outcomes | Adverse effects were generally minor. Healing was generally uneventful for both test and control groups. Exposure of the GTR barrier membrane was widely reported, ranging from 20% of sites (non-resorbable… | 16 studies | GRADE not reported |
Findings are shown side by side, never pooled across reviews.
The reviews
| Review | Searched up to | Included studies | AMSTAR 2 |
|---|---|---|---|
| Guided tissue regeneration for periodontal infra-bony defects 2006 · Cochrane All outcomes | 2004-04 | Not listed | Not assessed |
Related questions
The same intervention and outcome, asked in another population or against another comparator.
- Guided tissue regeneration (GTR) with barrier membrane (resorbable or non-resorbable) vs Open flap debridement (access flap surgery) · Patients with chronic adult periodontitis (aged 21 years or older) with periodontal… · 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.