Question · asked by 0 reviews
Guided tissue regeneration (GTR) with barrier membrane (resorbable or non-resorbable) vs Open flap debridement (access flap surgery): Outcomes relevant to participants' well‐being
- Population
- Patients with chronic adult periodontitis (aged 21 years or older) with periodontal infra-bony defects; furcation-involved teeth and early-onset periodontitis excluded
- Intervention
- Guided tissue regeneration (GTR) with barrier membrane (resorbable or non-resorbable)
- Comparison
- Open flap debridement (access flap surgery)
- Outcome
- Outcomes relevant to participants' well‐being
The review found no eligible studies for this question.
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) Patient well-being / quality of life · Patients with chronic adult periodontitis (aged 21 years or older) with periodontal infra-bony defects;… The review found no eligible studies for this question. Guided tissue regeneration for periodontal infra-bony defects (1999) · Cochrane All outcomesearlier version CD001724, superseded | No data were found for this outcome (listed under 'Other outcomes: No data were found for the following outcomes'). | 0 studies | No studies found |
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 periodontitis (aged 21 years or older) with periodontal infra-bony… · 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.