Predictors of Long-Term Pulmonary Morbidity in Children with Congenital Diaphragmatic Hernia
Bibliographic record
Abstract
Purpose The aim is to identify prognostic markers of long-term pulmonary morbidity among congenital diaphragmatic hernia (CDH) survivors. Methods A single-institution, retrospective review was performed on all CDH patients from 2000 and 2012 (REB#1000053383). Liver position, patch use, and pulmonary function tests (PFTs) (forced expiratory volume at 1 second [FEV1] and forced vital capacity [FVC] expressed as mean % predicted + SD) were recorded. Data were analyzed using analysis of variance. Results Patients with acceptable and reproducible PFT (n = 72 for 202 total PFT) with patch repair and liver up (n = 28) had significantly lower FEV1 (72.4 + 17.6) than those with no patch and liver down (n = 98, FEV1= 86.3 + 15.9, p = 0.002). Patients with patch repair and liver down (n = 40) also had significantly lower FEV1 (76.6 + 14.4) than those with liver down and no patch (p = 0.0463). Patients with liver up and patch repair had PFT results consistent with moderate reduction of lung function, while the remainder had mild to no decrease in lung function. All CDH patients older than 14 years had a reduction in FEV1/FVC consistent with obstructive phenotype, with a mean FEV1/FVC = 62.3 for patch repair group and FEV1/FVC = 76.1 in the no patch group. Conclusion Decreased pulmonary function of CDH survivors correlated with the use of patch repair and liver position. CDH lung disease should be monitored in adulthood.
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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 | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| 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) | 0.001 | 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".