Bibliographic record
Abstract
Pediatric acute pancreatitis (AP) may be defined by the presence of at least 2 of 3 factors including abdominal pain consistent with pancreatic origin, elevation of amylase or lipase at least three times upper limits of normal and abdominal imaging demonstrating pancreatic inflammation. Younger children represent a diagnostic challenge, as they may not verbalize pain in the same way as an older child would, and because values of amylase and lipase are developmentally lower in the first few years of life. The incidence of pediatric AP has been increasing in recent decades, estimated at 1–3 cases/10,000 children, a trend paralleling that found in adults. However, the etiologies of pediatric AP differ from those commonly found in adults who have primarily biliary and alcohol etiologies. Pediatric AP etiologies include anatomic abnormalities, biliary, medications and toxins, traumas, infections, metabolic disturbances, genetic, and idiopathic. As the knowledge of genetics has expanded, genes such as PRSS1 , CFTR , SPINK1 , and CTRC have been demonstrated in an increased proportion of “idiopathic” cases. Imaging for children aims to avoid radiation whenever possible. Transabdominal ultrasonography (TUS), magnetic resonance imaging, computed tomography represent the three main imaging techniques with TUS preferentially initially utilized. Endoscopic retrograde cholangiopancreatography and endoscopic ultrasonography offer imaging as well as the possibility of therapeutic intervention. General management of pediatric AP parallels that in adults, namely aggressive fluid resuscitation and support, pain reduction, removal of any risk factors and early feedings. Children mostly have benign clinical courses, but complications can occur, the most common being pseudocyst development. Ten to 35% of children will have recurrent episodes of AP and should undergo detailed imaging, genetic, and other appropriate workup to identify any predisposing factors.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.010 | 0.003 |
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".