Dornase alfa vs alternate days: FEV1
Dornase alfa daily showed no clear difference in mean relative percentage change in FEV1 (L) at 3 months compared with alternate days (low certainty).
What each review found
Current versions only| Finding | Effect | Studies | GRADE certainty |
|---|---|---|---|
Dornase alfa daily vs alternate days Mean relative percentage change in FEV1 (L) at 3 months · Children with cystic fibrosis Dornase alfa daily showed no clear difference in mean relative percentage change in FEV1 (L) at 3 months compared with alternate days (low certainty). Dornase alfa for cystic fibrosis (2021) · Cochrane Headline outcomes only | MD 2 | 43 participants | Low |
Dornase alfa daily vs alternate days Mean relative percentage change in FEV1 (L) at 3 months · Children with cystic fibrosis Dornase alfa daily showed no clear difference in mean relative percentage change in FEV1 (L) at 3 months compared with alternate days (low certainty). Dornase alfa for cystic fibrosis (2018) · Cochrane Headline outcomes onlyearlier version CD001127.PUB4, superseded | MD 2 | 43 participants | Low |
Dornase alfa daily vs alternate days Mean relative percentage change in FEV1 (L) at 3 months · Children with cystic fibrosis Dornase alfa daily showed no clear difference in mean relative percentage change in FEV1 (L) at 3 months compared with alternate days (low certainty). Dornase alfa for cystic fibrosis (2016) · Cochrane Headline outcomes onlyearlier version CD001127.PUB3, superseded | MD 2 | 43 participants | Low |
Findings are shown side by side, never pooled across reviews.
The reviews
| Review | Searched up to | Included studies | AMSTAR 2 |
|---|---|---|---|
| Dornase alfa for cystic fibrosis 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.