Question · asked by 1 review

Antifibrinolytic therapy (tranexamic acid or epsilon aminocaproic acid) vs Placebo, no intervention or usual care (with or without placebo): Number of postoperative bleeding episodes requiring intervention

Population
People with haemophilia (A or B) undergoing minor oral surgery or dental extractions
Intervention
Antifibrinolytic therapy (tranexamic acid or epsilon aminocaproic acid)
Comparison
Placebo, no intervention or usual care (with or without placebo)
Outcome
Number of postoperative bleeding episodes requiring intervention

Antifibrinolytic therapy (tranexamic acid or epsilon aminocaproic… probably leads to lower number of postoperative bleeding episodes requiring intervention compared with placebo, no intervention or usual care (with or without placebo) (moderate certainty).

What each review found

Include earlier review versions
FindingEffectStudiesGRADE certainty
Antifibrinolytic therapy (tranexamic acid or epsilon aminocaproic acid) vs Placebo, no intervention or usual care (with or without placebo)
Number of postoperative bleeding episodes requiring intervention · People with haemophilia (A or B) undergoing minor oral surgery or dental extractions · Up to 10 days postoperative
Antifibrinolytic therapy (tranexamic acid or epsilon aminocaproic… probably leads to lower number of postoperative bleeding episodes requiring intervention compared with placebo, no intervention or usual care (with or without placebo) (moderate certainty).
Antifibrinolytic therapy for preventing oral bleeding in patients with haemophilia or Von Willebrand disease… (2019) · Cochrane All outcomes
RD -0.57 [-0.76, -0.37]2 studies · 59 participantsModerate

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

The reviews

ReviewSearched up toIncluded studiesAMSTAR 2
Antifibrinolytic therapy for preventing oral bleeding in patients with haemophilia or Von Willebrand disease undergoing minor oral surgery…
2019 · Cochrane All outcomes
2019-03Not listedNot assessed

The same intervention and outcome, asked in another population or against another comparator.

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.