Question · asked by 1 review

Bone graft with platelet-rich plasma (PRP) vs Bone graft without PRP: Implant failure

Population
Patients with insufficient bone below the maxillary sinus requiring dental implants
Intervention
Bone graft with platelet-rich plasma (PRP)
Comparison
Bone graft without PRP
Outcome
Implant failure

Bone graft with platelet-rich plasma (PRP) showed no clear difference in implant failure compared with bone graft without PRP (low certainty).

What each review found

Current versions only
No studies found 0 · 0%GRADE not reported 1 · 50%Very low 0 · 0%Low 1 · 50%Moderate 0 · 0%High 0 · 0%
FindingEffectStudiesGRADE certainty
Bone graft with platelet-rich plasma (PRP) vs Bone graft without PRP
Implant failure · Patients with insufficient bone below the maxillary sinus requiring dental implants · 2 years after loading
Interventions for replacing missing teeth: augmentation procedures of the maxillary sinus (2014) · Cochrane All outcomes
No statistically significant difference for implant failures. Per trial: Raghoebar 2005 1 failure in the PRP arm, OR 3.67 (0.12 to 113.73), P = 0.46; Torres 2009 (PRP only = 1, no-PRP only = 2), OR 0.50 (0.01 to…2 studies · 62 participantsGRADE not reported
Bone graft with platelet-rich plasma (PRP) vs Bone graft without PRP
Implant failure · Patients with insufficient bone below the maxillary sinus requiring dental implants · 0 to 2 years
Bone graft with platelet-rich plasma (PRP) showed no clear difference in implant failure compared with bone graft without PRP (low certainty).
Interventions for replacing missing teeth: augmentation procedures of the maxillary sinus (2010) · Cochrane All outcomesearlier version CD008397, superseded
OR 0.61 [0.09, 4.27]2 studies · 91 participantsLow

Findings are shown side by side, never pooled across reviews.

The reviews

ReviewSearched up toIncluded studiesAMSTAR 2
Interventions for replacing missing teeth: augmentation procedures of the maxillary sinus
2014 · Cochrane All outcomes
2014-01Not listedNot 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.