Less invasive surfactant administration versus intubation for surfactant delivery in preterm infants with respiratory distress syndrome: a systematic review and meta-analysis
Bibliographic record
Abstract
Context In spontaneously breathing preterm infants with respiratory distress syndrome (RDS) receiving nasal continuous positive airway pressure, a method of less invasive surfactant administration (LISA) using a thin catheter has been described as an alternative to endotracheal intubation for surfactant delivery to reduce lung injury. Objective A systematic review of randomised controlled trials (RCTs) comparing LISA with the standard method of surfactant delivery for clinical outcomes. Methods Medline, CENTRAL and Embase databases were searched (until 29 October 2015). Additional citations were identified from trial registries, conference proceedings and the bibliographies of selected articles. The included studies were RCTs enrolling preterm infants with RDS and compared LISA technique with intubation for surfactant delivery for any of the prespecified clinical outcomes. Results Six RCTs were identified, enrolling a total of 895 infants. The use of LISA technique reduced the composite outcome of death or bronchopulmonary dysplasia (BPD) at 36 weeks (risk ratio (RR)=0.75 (95% CI 0.59 to 0.94), p=0.01), BPD 36 among survivors (RR=0.72 (0.53 to 0.97), p=0.03), need for mechanical ventilation within 72 hours of birth (RR=0.71 (0.53 to 0.96), p=0.02) or need for mechanical ventilation anytime during the neonatal intensive care unit stay (RR=0.66 (0.47 to 0.93), p=0.02). There were no differences noted for the outcome of death and other neonatal morbidities. Procedure failure rate on the first attempt and the need for additional doses of surfactant were not different between the intervention groups. Conclusions LISA technique for surfactant delivery results in a lesser need for mechanical ventilation in infants with RDS, reduction in the composite outcome of death or BPD at 36 weeks, and BPD 36 among survivors.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.009 | 0.024 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.022 | 0.030 |
| Bibliometrics | 0.006 | 0.006 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 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 source (direct Gemma or distilled Codex), 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".