NIPPV vs NCPAP: Mortality before hospital discharge
Nasal intermittent positive pressure ventilation (NIPPV) showed no clear difference in mortality (defined as death before discharge) compared with nasal continuous positive airway pressure (NCPAP) (low certainty).
What each review found
Current versions only| Finding | Effect | Studies | GRADE certainty |
|---|---|---|---|
Nasal intermittent positive pressure ventilation (NIPPV) vs nasal continuous positive airway pressure (NCPAP) Mortality (defined as death before discharge) · preterm neonates after extubation Nasal intermittent positive pressure ventilation (NIPPV) showed no clear difference in mortality (defined as death before discharge) compared with nasal continuous positive airway pressure (NCPAP) (low certainty). Nasal intermittent positive pressure ventilation (NIPPV) versus nasal continuous positive airway pressure… (2023) · Cochrane Headline outcomes only | RR 0.81 [0.61, 1.07] | 11 studies · 2258 participants | Low |
NIPPV vs NCPAP Death before discharge · preterm neonates after extubation NIPPV probably leads to lower death before discharge compared with NCPAP (moderate certainty). Nasal intermittent positive pressure ventilation (NIPPV) versus nasal continuous positive airway pressure… (2017) · Cochrane Headline outcomes onlyearlier version CD003212.PUB3, superseded | RR 0.69 [0.48, 0.99] | 6 studies · 1237 participants | Moderate |
Findings are shown side by side, never pooled across reviews.
The reviews
| Review | Searched up to | Included studies | AMSTAR 2 |
|---|---|---|---|
| Nasal intermittent positive pressure ventilation (NIPPV) versus nasal continuous positive airway pressure (NCPAP) for preterm neonates… 2023 · 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.