Question · asked by 1 review

Resorbable (bioresorbable) plates or screws for fixation vs Titanium plates or screws for fixation: Wound dehiscence

Population
Adults (>16 years old) undergoing orthognathic surgery
Intervention
Resorbable (bioresorbable) plates or screws for fixation
Comparison
Titanium plates or screws for fixation
Outcome
Wound dehiscence

What each review found

Current versions only
No studies found 0 · 0%GRADE not reported 2 · 100%Very low 0 · 0%Low 0 · 0%Moderate 0 · 0%High 0 · 0%
FindingEffectStudiesGRADE certainty
Resorbable (bioresorbable) plates or screws for fixation vs Titanium plates or screws for fixation
Wound dehiscence (adverse effect) · Adults (>16 years old) undergoing orthognathic surgery · Up to 3 years postoperatively
Resorbable versus titanium plates for orthognathic surgery (2017) · Cochrane All outcomes
Three patients (10%) in the titanium group and two patients (6.7%) in the resorbable group presented with wound dehiscence. One patient in each group with dehisced wounds became infected; all non-infected wounds closed…1 study · 60 participantsGRADE not reported
Resorbable (bioresorbable) plates or screws for fixation vs Titanium plates or screws for fixation
Wound dehiscence (adverse effect) · Adults (>16 years old) undergoing orthognathic surgery · Up to 3 years postoperatively
Resorbable versus titanium plates for orthognathic surgery (2007) · Cochrane All outcomesearlier version CD006204.PUB2, superseded
Three patients (10%) in the titanium group and two patients (6.7%) in the resorbable group presented with wound dehiscence. One patient in each group with dehisced wounds became infected; all non-infected wounds closed…1 study · 60 participantsGRADE not reported

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

The reviews

ReviewSearched up toIncluded studiesAMSTAR 2
Resorbable versus titanium plates for orthognathic surgery
2017 · Cochrane All outcomes
2017-01Not 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.