Antenatal corticosteroid therapy, delivery intervals and perinatal mortality in low-resource settings
Bibliographic record
Abstract
BACKGROUND: Uncertainty exists regarding the ideal interval between the administration of antenatal corticosteroids (ACS) and delivery. The study's objective was to assess the risks of perinatal mortality and respiratory distress syndrome (RDS) among preterm neonates whose mothers gave birth within 48 h of the administration of ACS and those whose mothers gave birth between 48 h and 7 days. METHODS: The study design was a secondary analysis of data from an observational prospective chart review study that was carried out in Tanzania in 2020. Preterm infants born to mothers who got at least one dose of ACS between 28 and 34 weeks of pregnancy were included. RESULTS: A total of 346 preterm neonates (294 singletons and 52 twins) were exposed to ACS. Compared to infants born 48 h following the first dose of ACS, those exposed to the drug between 48 h and 7 days had significantly decreased rates of perinatal mortality and RDS. Multivariable analysis revealed that infants exposed ACS between 48 h and 7 days prior to delivery had lower risk of perinatal mortality (aRR 0.30, 95% CI 0.14-0.66) and RDS (aRR 0.27, 95% CI 0.14-0.52). CONCLUSION: The first dose of ACS given between 48 h and 7 days before delivery was associated with a lower risk of perinatal mortality and RDS than when the first dose was given <48 h before delivery. To improve neonatal outcomes, healthcare providers should consider administering ACS to mothers at the appropriate time.
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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 | 0.009 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".