Necrotizing Enterocolitis: State of the Art in Translating Experimental Research to the Bedside
Bibliographic record
Abstract
Necrotizing enterocolitis (NEC) is a devastating intestinal disease that continues to have high morbidity and mortality among preterm neonates, despite medical advancements in neonatology and neonatal care. To investigate the pathogenesis of the disease and explore novel form of treatment, a variety of experimental models of NEC have been developed and used by various investigators. These experimental models range from in vitro evaluation of intestinal epithelial cells and intestinal organoids to in vivo models of the disease in neonatal mice, rats, and piglets. Most recently, human-derived intestinal organoids have also been developed and investigated. In this review, we will briefly discuss these experimental models and the contributions that they have made to our understanding of NEC. We will also point to the ischemia/reperfusion (I/R) model of intestinal injury which has been used as an indirect model of NEC by some investigators. Advancements in laboratory research into this devastating disease have continued to expand our knowledge on the pathogenesis and prevention of NEC as well as the effectiveness of therapeutic options for management of this severe disease.
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 | 0.012 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.002 |
| 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".