Question · asked by 1 review
Antifibrinolytic therapy - locally-applied tranexamic acid (TXA) mouthwash/solution (SoF eligibility: TXA or EACA; all included trials used topical TXA) vs Placebo mouthwash: Bleeding duration (minutes, all types of bleeding, minor and major)
- Population
- People on continuous VKA treatment undergoing minor oral surgery or dental extractions (eligibility included DOACs and all ages; all four included trials were adults on VKAs with INR within the therapeutic range, mean age 60 years)
- Intervention
- Antifibrinolytic therapy - locally-applied tranexamic acid (TXA) mouthwash/solution (SoF eligibility: TXA or EACA; all included trials used topical TXA)
- Comparison
- Placebo mouthwash
- Outcome
- Bleeding duration (minutes, all types of bleeding, minor and major)
The review found no eligible studies for this question.
What each review found
Include earlier review versions| Finding | Effect | Studies | GRADE certainty |
|---|---|---|---|
Antifibrinolytic therapy - locally-applied tranexamic acid (TXA) mouthwash/solution (SoF eligibility: TXA or EACA; all included trials used topical TXA) vs Placebo (placebo solution/mouthwash) Bleeding duration (minutes, all types of bleeding, minor and major) · People on continuous VKA treatment undergoing minor oral surgery or dental extractions (eligibility included DOACs and… The review found no eligible studies for this question. Antifibrinolytic therapy for preventing oral bleeding in people on anticoagulants undergoing minor oral… (2018) · Cochrane All outcomes | no estimate extracted | 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 |
|---|---|---|---|
| Antifibrinolytic therapy for preventing oral bleeding in people on anticoagulants undergoing minor oral surgery or dental extractions 2018 · Cochrane All outcomes | 2018-02 | 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.