Bibliographic record
Abstract
PURPOSE OF REVIEW: This review provides a concise summary of recent literature pertaining to emerging therapies for bronchopulmonary dysplasia (BPD). To provide context for the presented therapies, a brief overview of recently proposed changes to the definition of BPD and the concept of expanded respiratory outcomes is included. RECENT FINDINGS: New or redefined respiratory outcomes are required to improve accuracy in evaluating new therapies and correlating results with long-term clinical outcomes of importance. Dexamethasone is no longer the only steroid-based therapy showing promise for impacting BPD. Early trials indicate hydrocortisone, inhaled budesonide, and a budesonide-surfactant combination may be of benefit to preterm infants. Additionally, simple approaches like increasing utilization of mother's own milk may deserve more emphasis. Of significant interest is the traction stem cell therapies are acquiring as one of the more anticipated treatments for BPD. A new preclinical meta-analysis demonstrates the benefits of mesenchymal stromal cell therapy in animal models while the results of early clinical trials remain eagerly awaited. SUMMARY: BPD continues to be the most frequently occurring significant morbidity for extremely preterm infants, yet highly effective therapies remain elusive. Promising new treatments are on the horizon, but only continued efforts to complete well-designed clinical trials will determine the true impact of these emerging therapies.
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 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) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.007 | 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".