Pediatric Acute Pancreatitis
Bibliographic record
Abstract
OBJECTIVE: To examine the changes over time of pediatric acute pancreatitis (AP) severity, management, and disease outcomes at our academic tertiary center. METHODS: We reviewed 223 pediatric AP admissions (2002-2018) and used a time-to-event regression model to study changes over time. Disease outcomes were analyzed using a subgroup of 89 patients in whom only the AP event determined length of hospital stay and duration of opioid use. RESULTS: There was an increase in mild, but not severe, AP episodes over the examined period. June 2014 was identified as a single cutoff point for change in AP management and disease outcomes independent of each other and of disease severity. Timing of initiating enteral nutrition decreased from 5 to 1.6 days (P < 0.0001) in the entire cohort and from 4.1 to 1.8 days in the subgroup (P = 0.0001) after June 2014. Length of hospitalization decreased from 6 to 3.3 days (P = 0.0008) and days of opioid use from 4.1 to 1.3 (P = 0.002) after June 2014. CONCLUSIONS: Timing of initiating enteral nutrition has significantly reduced at our center after June 2014. In parallel, we observed a significant improvement in disease outcomes.
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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 | 0.001 | 0.003 |
| 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 | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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".