Fetal Tracheal Occlusion for Severe Pulmonary Hypoplasia in Isolated Congenital Diaphragmatic Hernia
Bibliographic record
Abstract
OBJECTIVE: To evaluate fetal survival after tracheal occlusion in fetuses with severe pulmonary hypoplasia and isolated congenital diaphragmatic hernia (CDH). BACKGROUND: Despite recent advances in neonatal intensive care, CDH still has a high mortality and morbidity. Fetoscopic endoluminal tracheal occlusion (FETO) stimulates lung growth and improves gas exchange in animal models of CDH, but the effects in humans are still under investigation. METHODS: We searched Pubmed, Cochrane, EMBASE, and Scopus databases for clinical studies on tracheal occlusion and CDH. All studies comparing FETO and a contemporary control group were included. The primary outcome was survival, with the need for oxygen on discharge the secondary outcome. Meta-analysis of outcome measures was performed and odds ratios, relative risk ratios, and 95% confidence intervals were estimated with a fixed-effects model and were reported in accordance with Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidance. RESULTS: Between 1997 and 2015, five eligible studies describing 211 patients were included (101 control and 110 FETO). All studies selected isolated severe CDH fetuses with a lung-to-head ratio 1.0 or less and liver herniation into the thoracic cavity. FETO favored survival outcome (odds ratio 13.32; 95% confidence interval, 5.40-32.87). Meta-analysis of the secondary outcome oxygen need at discharge could not be calculated, because it was not reported in all included studies. CONCLUSIONS: FETO improves survival in isolated CDH with severe pulmonary hypoplasia compared with the standard perinatal management.
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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 | 0.006 | 0.016 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.004 | 0.008 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".