Does Overnight Birth Influence Treatment or Outcome in Congenital Diaphragmatic Hernia?
Bibliographic record
Abstract
We examined the effect of overnight birth on treatment and outcome (including initial cardiorespiratory stabilization) in newborns with congenital diaphragmatic hernia (CDH). CDH births between May 2005 and May 2008 were abstracted from a national CDH database. Overnight birth was defined as occurring between 8 PM and 8 AM. Patient characteristics, treatment, and outcomes were compared between birth time groups, including the subset of infants in whom a prenatal diagnosis of CDH had been made. Of 132 cases evaluated, 106 (80%) survived. Forty-nine babies (37%) were born overnight. Eighty-five infants (64%) with a prenatal diagnosis were evenly distributed between the birth time cohorts. Survival to discharge, surgical management, duration of mechanical ventilation, and length of hospital stay were comparable between the risk-matched (SNAP-II score) birth time groups. Overnight birth did predict a lower rate of cesarean section deliveries (P = 0.03). Escalation of ventilator mode, inability to achieve/maintain blood gas targets, development of pneumothorax, and need for extracorporeal membrane oxygenation were all considered "stabilization failures." Overnight birth predicted a failure to maintain or improve pH to within target range (P = 0.008). Overnight birth did not adversely affect outcome in this birth time comparison of newborns with CDH.
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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 | 0.001 | 0.010 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".