Systemic antibiotic prophylaxis (any regimen; topical therapy excluded) administered before and/or after tooth extraction vs placebo: Adverse effects
- Population
- People undergoing tooth extraction (21 of 23 trials: healthy patients undergoing impacted third molar extraction; 1 routine intra-alveolar extraction; 1 complex oral surgery)
- Intervention
- Systemic antibiotic prophylaxis (any regimen; topical therapy excluded) administered before and/or after tooth extraction
- Comparison
- placebo
- Outcome
- Adverse effects
It is very uncertain whether systemic antibiotic prophylaxis (any regimen; topical therapy… changes adverse effects compared with placebo (very low certainty).
What each review found
Current versions only| Finding | Effect | Studies | GRADE certainty |
|---|---|---|---|
Systemic antibiotic prophylaxis (any regimen; topical therapy excluded) administered before and/or after tooth extraction vs Placebo Adverse effects · People undergoing tooth extraction (21 of 23 trials: healthy patients undergoing impacted third molar extraction; 1… · 1st to 7th day It is very uncertain whether systemic antibiotic prophylaxis (any regimen; topical therapy… changes adverse effects compared with placebo (very low certainty). Antibiotics to prevent complications following tooth extractions (2021) · Cochrane All outcomes | RR 1.46 [0.81, 2.64] | 8 studies · 1277 participants | Very low |
Findings are shown side by side, never pooled across reviews.
The reviews
| Review | Searched up to | Included studies | AMSTAR 2 |
|---|---|---|---|
| Antibiotics to prevent complications following tooth extractions 2021 · Cochrane All outcomes | 2020-04 | Not listed | Not assessed |
Related questions
The same intervention and outcome, asked in another population or against another comparator.
- Systemic antibiotic prophylaxis (any regimen; topical therapy excluded) administered before and/or after tooth extraction vs placebo · Patients undergoing tooth extraction (all 18 included trials: healthy patients… · 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.