Efficacy and safety of bubble CPAP in neonatal care in low and middle income countries: a systematic review
Bibliographic record
Abstract
INTRODUCTION: Forty per cent of global child deaths occur in the neonatal period. Low and middle income countries need effective and simple methods to improve hospital-based neonatal care. Bubble continuous positive airway pressure (CPAP) may have a role in improving the quality of respiratory support in hospitals in low and middle income countries. AIM: To examine the evidence for the efficacy and safety of bubble CPAP in neonates with respiratory distress in low and middle income settings. METHOD: A systematic search (1946-March 2014) was performed of Pubmed, Ovid MEDLINE, Web of Science, Google Scholar and the references of relevant articles. Articles meeting inclusion criteria (CPAP for respiratory distress in infants <28 days of age in hospitals in low and middle income countries) were assessed using Grading of Recommendations, Assessment, Development and Evaluation and Newcastle-Ottawa Quality Assessment Scale methodology. Outcomes included need for mechanical ventilation, complications and mortality. RESULTS: In three studies, the initial use of bubble CPAP compared with oxygen therapy, followed by mechanical ventilation if required, reduced the need for mechanical ventilation by 30%-50%. In another three trials comparing bubble CPAP with ventilator CPAP, mortality and complication rates were similar, while meta-analysis of CPAP failure in these same trials showed a lower failure rate in the bubble CPAP groups (p <0.003). CONCLUSIONS: There is evidence that bubble CPAP is safe and reduces the need for mechanical ventilation. Further research into the efficacy of bubble CPAP in low-income and middle-income countries is needed.
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How this classification was reachedexpand
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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.006 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".