Parallel Exploratory RCT of Polyethylene Wrap for Heat Loss Prevention in Infants Born at Less than 24 Weeks’ Gestation
Bibliographic record
Abstract
BACKGROUND: The treatment effect of occlusive wrap applied immediately after delivery in infants born 24-28 weeks' gestation has been studied, but the effect is not known in infants born at less than 240/7 weeks' gestation. OBJECTIVES: To determine if the use of occlusive wrap applied immediately after birth in infants born at less than 240/7 weeks' gestation results in any differences in outcomes when compared to non-wrapped infants. METHODS: Parallel exploratory randomized controlled trial with a convenience sample of 28 inborn infants born at less than 240/7 weeks' gestation enrolled during the duration of the HeLP trial. Infants were randomized to either the wrap or standard of care (no wrap) group. RESULTS: Twenty-eight infants (wrap n = 14; no wrap n = 14) were randomized and data on all infants was available for intention-to-treat analysis. There were no differences in baseline population characteristics. There was no statistically significant difference in mortality (n = 8/14 wrap, 8/14 no wrap). There was no statistically significant difference in baseline temperature (35.9°C, SD = 1.12, wrap vs. 35.1°C, SD = 1.16, no wrap, p = 0.16) or post-stabilization temperature (36.4°C, SD = 0.84, wrap vs. 36.1°C, SD = 1.2, no wrap, p = 0.56). There was a trend towards increased baseline temperature in the wrap group. CONCLUSION: Application of occlusive wrap to infants born at less than 240/7 weeks' gestation immediately after birth did not reduce mortality or effect baseline or post-stabilization temperature in this small exploratory study. This small sample provides the first estimate of treatment effect for this high-risk population.
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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 | 0.006 | 0.012 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.003 | 0.004 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.014 | 0.002 |
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".