Increasing Incidence of Acute Pancreatitis at an American Pediatric Tertiary Care Center
Bibliographic record
Abstract
OBJECTIVES: Studies show an increased incidence of adult acute pancreatitis (AP) in recent decades. The aim was to review pediatric AP incidence. METHODS: Retrospective review of computerized databases at the Children's Hospital of Pittsburgh from 1993 to 2004. The International Classification of Diseases, Ninth Revision, code 5770 Acute Pancreatitis was used; results were tabulated by discharge year and month. The incidence of AP was compared with orders for amylase and lipase testings and with the catchment population. RESULTS: Over the study period, there were a total of 1021 discharge diagnoses of AP (731 first diagnoses). The diagnosis of AP increased from a low of 28 total cases (21 first diagnoses) in 1993 to a high of 141 total cases (109 first diagnoses) in 2004. The catchment population decreased from 882,000 to 826,500. The estimated incidences of first AP admission were 2.4 to 13.2 per 100,000 children (years 1993-2004; r = 0.8339). Linear regression analysis suggests that increased testing for amylase and lipase could account for 94% of the change in all AP admissions (P = 5.1 x 10). CONCLUSIONS: The increased incidence of AP at the Children's Hospital of Pittsburgh from 1993 to 2004 may have been primarily driven by increased testing for the disease.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.004 |
| 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) | 0.003 | 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".