Question · asked by 1 review
Deferasirox vs deferoxamine: LIC
- Population
- patients with managing transfusional iron overload in people with sickle cell disease
- Intervention
- Deferasirox
- Comparison
- deferoxamine
- Outcome
- LIC
What each review found
Current versions onlyNo studies found 0 · 0%GRADE not reported 0 · 0%Very low 0 · 0%Low 0 · 0%Moderate 2 · 100%High 0 · 0%
| Finding | Effect | Studies | GRADE certainty |
|---|---|---|---|
Deferasirox vs deferoxamine LIC measured by SQUID biomagnetometer (mg Fe/g dw); overall population adjusted for transfusion category · patients with sickle cell disease and transfusional iron overload Deferasirox for managing transfusional iron overload in people with sickle cell disease (2014) · Cochrane Headline outcomes only | no estimate extracted | 1 study · 173 participants | Moderate |
Deferasirox vs Deferoxamine LIC measured by SQUID Biomagnetometer; Overall population adjusted for transfusion category · patients with managing transfusional iron overload in people with sickle cell disease Deferasirox for managing transfusional iron overload in people with sickle cell disease (2010) · Cochrane Headline outcomes onlyearlier version CD007477.PUB2, superseded | no estimate extracted | 1 study · 173 participants | Moderate |
Findings are shown side by side, never pooled across reviews.
The reviews
| Review | Searched up to | Included studies | AMSTAR 2 |
|---|---|---|---|
| Deferasirox for managing transfusional iron overload in people with sickle cell disease 2014 · 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.
- Deferasirox vs deferiprone · people with transfusion‐dependent thalassemia · 1 review
- Deferasirox vs combined deferasirox and deferiprone · people with transfusion‐dependent thalassemia · 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.