Heparin vs no treatment: All‐cause mortality at 100 days post‐transplant
- Population
- People undergoing autologous or HLA identical allogeneic bone marrow transplant with a variety of malignant diseases or aplastic anaemia
- Intervention
- Heparin
- Comparison
- no treatment
- Outcome
- All‐cause mortality at 100 days post‐transplant
Summary of findings: Heparin showed no clear difference in all‐cause mortality at 100 days post‐transplant ( compared with no treatment (low certainty).
What each review found
Include earlier review versions| Finding | Effect | Studies | GRADE certainty |
|---|---|---|---|
Summary of findings: Heparin vs no treatment All‐cause mortality at 100 days post‐transplant ( · People undergoing autologous or HLA identical allogeneic bone marrow transplant with a variety of malignant diseases… Summary of findings: Heparin showed no clear difference in all‐cause mortality at 100 days post‐transplant ( compared with no treatment (low certainty). Interventions for prophylaxis of hepatic veno‐occlusive disease in people undergoing haematopoietic stem… (2015) · Cochrane Headline outcomes only | RR 0.66 [0.25, 1.76] | 1 study · 161 participants | Low |
Findings are shown side by side, never pooled across reviews.
The reviews
| Review | Searched up to | Included studies | AMSTAR 2 |
|---|---|---|---|
| Interventions for prophylaxis of hepatic veno‐occlusive disease in people undergoing haematopoietic stem cell transplantation 2015 · Cochrane Headline outcomes only | Not reported | Not extracted | Not assessed |
Related questions
The same intervention and outcome, asked in another population or against another comparator.
- Heparin vs low molecular weight heparin · Patients undergoing stem cell transplant with malignant and non‐malignant diseases · 1 review
- Heparin vs prostaglandin E1 · Patients undergoing stem cell transplant with malignant and non‐malignant diseases · 1 review
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.