ARP with allograft plus synthetic cell-binding peptide P-15 vs ARP with allograft without P-15: Changes in bucco-lingual/palatal width of alveolar ridge (mm)
- Population
- Adults aged 18 years or older, in good general health (including well-controlled systemic disease), requiring extraction of one or more permanent teeth (mandibular or maxillary, molar or non-molar), with consideration of future delayed dental implant placement
- Intervention
- ARP with allograft plus synthetic cell-binding peptide P-15
- Comparison
- ARP with allograft without P-15
- Outcome
- Changes in bucco-lingual/palatal width of alveolar ridge (mm)
It is very uncertain whether ARP with allograft plus synthetic cell-binding peptide P-15 changes changes in bucco-lingual/palatal width of alveolar ridge (mm) compared with ARP with allograft without P-15 (very low certainty).
What each review found
Include earlier review versions| Finding | Effect | Studies | GRADE certainty |
|---|---|---|---|
ARP with allograft plus synthetic cell-binding peptide P-15 vs ARP with allograft without P-15 Changes in bucco-lingual/palatal width of alveolar ridge (mm) · Adults aged 18 years or older, in good general health (including well-controlled systemic disease), requiring… · 6 months It is very uncertain whether ARP with allograft plus synthetic cell-binding peptide P-15 changes changes in bucco-lingual/palatal width of alveolar ridge (mm) compared with ARP with allograft without P-15 (very low certainty). Interventions for replacing missing teeth: alveolar ridge preservation techniques for dental implant site… (2021) · Cochrane All outcomes | MD -0.87 [-1.61, -0.13] | 1 study · 18 participants | Very low |
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: alveolar ridge preservation techniques for dental implant site development 2021 · Cochrane All outcomes | 2021-03 | 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.