Nasal continuous positive airway pressure versus nasal intermittent positive pressure ventilation for preterm neonates: a systematic review and meta‐analysis
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
AIM: To determine whether nasal intermittent positive pressure ventilation (NIPPV) is more effective in preterm infants than nasal continuous positive airway pressure (NCPAP) in reducing the rate of extubation failure following mechanical ventilation, and reducing the frequency of apnoea of prematurity and subsequent need for endotracheal intubation. METHODS: Randomized trials of NIPPV versus NCPAP were sought and their data extracted and analysed independently by the authors using the methodology of the Cochrane Collaboration. The analysis used relative risk (RR), risk difference (RD) and number needed to treat (NNT) with 95% confidence intervals. RESULTS: The three studies identified, comparing NIPPV with NCPAP in the postextubation period, all used synchronized NIPPV (SNIPPV), which was more effective than NCPAP in preventing failure of extubation [RR 0.21 (0.10, 0.45), RD -0.32 (-0.45, -0.20), NNT 3 (2, 5)]. Two studies compared NIPPV versus NCPAP for the treatment of apnoea of prematurity. Although meta-analysis was not possible one trial showed a reduction in apnoea frequency with NIPPV and the other a trend favouring NIPPV. CONCLUSION: SNIPPV is an effective method of augmenting the beneficial effects of NCPAP in preterm infants in the postextubation period. Further research is required to delineate the role of NIPPV in the management of apnoea of prematurity.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.010 | 0.004 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it