A Single-Center Experience of Implementing Delayed Cord Clamping in Babies Born at Less Than 33 Weeks' Gestational Age
Bibliographic record
Abstract
OBJECTIVE: To describe the implementation and outcomes of delayed cord clamping (DCC) in preterm babies. STUDY DESIGN: Following staff orientation, a policy of DCC for 45 seconds was instituted for all eligible babies born between 28 and 32 weeks' gestational age, and later to all those younger than 33 weeks. RESULTS: Of 480 babies, 349 (73%) were eligible for DCC. Of these, 236 (68%) received DCC. Monthly compliance rates to DCC protocol in eligible babies ranged from 18% to 93%. There was no significant difference in demographic measures or rates of delivery room ventilation between eligible babies who did or did not receive DCC. Delayed cord clamping was associated with less hypothermia, higher initial hemoglobin levels, and less necrotizing enterocolitis, with a trend toward lower 1-minute Apgar scores and less blood pressure support. CONCLUSIONS: The DCC protocol is feasible in preterm babies with reinforcement and education. It appears practical, safe, and applicable, and has minimal impact on immediate neonatal transition, with possible early neonatal benefits.
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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 | 0.002 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".