Chronic Asymptomatic Pancreatic Hyperenzymemia
Bibliographic record
Abstract
OBJECTIVES: Chronic asymptomatic pancreatic hyperenzymemia (CAPH) was described as a benign disease. However, we already described clinically relevant findings requiring surgery or follow-up in half of the subjects. The aim of this study was to evaluate the long-term outcome of CAPH in terms of symptoms and evolution toward chronic pancreatitis. METHODS: Subjects previously enrolled in the first phase of the study (from 2005 to 2010) were reinvestigated from December 2013 to January 2017 with a phone call ± magnetic resonance cholangiopancreatography with secretin stimulation. RESULTS: A total of 133 subjects were eligible for the follow-up study (75 males, 58 females; age, 48.4 [standard deviation {SD}, 14] years); 24 (18%) of them dropped out. During a mean follow-up of 9.3 (SD, 5.2) years after the first diagnosis of CAPH, no episode of acute pancreatitis or abdominal pain was reported. Sixty-three subjects (58%) of 109 underwent magnetic resonance cholangiopancreatography with secretin stimulation with a mean follow-up of 5.7 [SD, 3.1] years (range, 1-11 years). Secretin stimulation-MRCP resulted unchanged in 54 (90%) of 60 subjects, worsened in 3 (5%) and improved in 3 (5%). Two subjects died from causes unrelated to pancreatic disease. CONCLUSIONS: Excluding subjects with a pancreatic disease at index magnetic resonance imaging, CAPH is a benign condition.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| 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".