Question · asked by 1 review

10 mg warfarin nomogram vs 5 mg warfarin nomogram: Major bleeding fall in hemoglobin of > 20 g/L or transfusion of 2 or more units of red cells

10 mg warfarin nomogram showed no clear difference in major bleeding fall in hemoglobin of > 20 g/L or transfusion of 2 or… compared with 5 mg warfarin nomogram (moderate certainty).

What each review found

Current versions only
FindingEffectStudiesGRADE certainty
10 mg warfarin nomogram vs 5 mg warfarin nomogram
Major bleeding fall in hemoglobin of > 20 g/L or transfusion of 2 or more units of red cells · patients with venous thromboembolism.
10 mg warfarin nomogram showed no clear difference in major bleeding fall in hemoglobin of > 20 g/L or transfusion of 2 or… compared with 5 mg warfarin nomogram (moderate certainty).
Warfarin initiation nomograms for venous thromboembolism (2016) · Cochrane Headline outcomes only
RR 0.97 [0.27, 3.51]4 studies · 494 participantsModerate
10 mg warfarin nomogram vs 5 mg warfarin nomogram
Major bleeding fall in hemoglobin of > 20 g/L or transfusion of 2 or more units of red cells · patients with venous thromboembolism.
10 mg warfarin nomogram showed no clear difference in major bleeding fall in hemoglobin of > 20 g/L or transfusion of 2 or… compared with 5 mg warfarin nomogram (moderate certainty).
Warfarin initiation nomograms for venous thromboembolism (2013) · Cochrane Headline outcomes onlyearlier version CD007699.PUB2, superseded
RR 0.97 [0.27, 3.51]4 studies · 494 participantsModerate

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

The reviews

ReviewSearched up toIncluded studiesAMSTAR 2
Warfarin initiation nomograms for venous thromboembolism
2016 · Cochrane Headline outcomes only
Not reportedlist not extracted yetNot assessed

Studies behind the findings

None of these reviews ties its included studies to this outcome in the data here. Cochrane reviews and reviews with headline outcomes only do not list their studies yet.

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.