Current approaches to the patent ductus arteriosus: Implications for pulmonary morbidities
Bibliographic record
Abstract
The natural closure of the ductus arteriosus is often delayed in premature newborns, especially in the most immature ones, and a significant left-to-right shunt volume raises concerns about pulmonary overcirculation, steal of systemic blood flow, and its potential contribution to neonatal respiratory morbidities such as bronchopulmonary dysplasia (BPD). Extremely low gestational age and long duration of mechanical ventilation may influence the relationship between the patent ductus arteriosus (PDA) and BPD. Decades of research has employed various pharmacologic approaches including NSAIDs and acetaminophen administered based on diverse criteria and using various timing, dose, and route combinations. Unfortunately, none of these interventions has consistently demonstrated meaningful improvements in clinical outcomes. Instead, these treatments inconsistently achieve PDA closure or restriction of flow through the ductus and are often associated with adverse effects. Thus, the lack of clear benefit from available treatments, coupled with the potential for harm, has prompted many centers to adopt conservative or expectant management of the PDA while awaiting novel strategies that could offer improved efficacy and safety. This review explores the associations between PDA and pulmonary outcomes of prematurity, reflecting on past research and outlining potential future directions.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.006 | 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".