Bibliographic record
Abstract
BACKGROUND: Bronchopulmonary dysplasia (BPD) is the most common long-term complication of extreme preterm birth. It is associated with lifelong multisystemic consequences. Advances in neonatal care have not reduced the incidence of BPD and no new breakthrough therapy has been successfully translated into the clinic in recent decades. SUMMARY: Current evidence demonstrates benefit of new modalities of first-line noninvasive positive pressure ventilation, selected strategies of postnatal corticosteroid administration, alternative surfactant delivery methods, and caffeine. Promising emerging therapies that are being translated from bench to bedside include mesenchymal stromal cells (MSCs), insulin-like growth factor 1/binding protein-3 (IGF-1/IGFBP-3), and interleukin 1 receptor (IL-1R) antagonist (anakinra). Strong preclinical data support efficacy of MSCs in attenuating neonatal lung injury. Early-phase clinical trials have already demonstrated safety and feasibility in preterm infants. Phase II studies that aimed at demonstrating efficacy are currently underway. Both IGF-1/IGFBP-3 and IL-1R antagonist present with biological plausibility and animal data of efficacy. Phase I/II clinical trials are currently recruiting patients. KEY MESSAGES: Early noninvasive respiratory support, late systemic dexamethasone, less invasive surfactant administration, and caffeine are proven strategies in reducing the risk of BPD. Potentially disruptive therapies - MSCs, IGF-1/IGFBP-3, and anakinra - are being advanced to clinical trials and their efficacy in remains to be demonstrated. Continued research efforts are needed in the growing population of extremely preterm infants at risk of developing BPD.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.000 |
| 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 | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".