Aspirin vs low molecular weight heparin: Symptomatic DVT
It is very uncertain whether aspirin (ASA) changes symptomatic deep vein thrombosis compared with low molecular weight heparin (LMWH) (very low certainty).
What each review found
Include earlier review versions| Finding | Effect | Studies | GRADE certainty |
|---|---|---|---|
Aspirin (ASA) vs low molecular weight heparin (LMWH) Symptomatic deep vein thrombosis · ambulatory patients with multiple myeloma receiving immunomodulatory agents It is very uncertain whether aspirin (ASA) changes symptomatic deep vein thrombosis compared with low molecular weight heparin (LMWH) (very low certainty). Antithrombotic therapy for ambulatory patients with multiple myeloma receiving immunomodulatory agents (2021) · Cochrane Headline outcomes only | RR 1.23 [0.49, 3.08] | 2 studies · 781 participants | Very low |
Aspirin (ASA) vs low molecular weight heparin (LMWH) Symptomatic deep vein thrombosis · ambulatory patients with multiple myeloma receiving immunomodulatory agents It is very uncertain whether aspirin (ASA) changes symptomatic deep vein thrombosis compared with low molecular weight heparin (LMWH) (very low certainty). Antithrombotic therapy for ambulatory patients with multiple myeloma receiving immunomodulatory agents (2021) · Cochrane Headline outcomes only | RR 1.2 [0.53, 2.72] | 1 study · 440 participants | Very low |
Findings are shown side by side, never pooled across reviews.
The reviews
| Review | Searched up to | Included studies | AMSTAR 2 |
|---|---|---|---|
| Antithrombotic therapy for ambulatory patients with multiple myeloma receiving immunomodulatory agents 2021 · Cochrane Headline outcomes only | Not reported | list not extracted yet | Not 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.