Emerging Clinical Features of COVID-19 Related Pancreatitis: Case Reports and Review of the Literature
Bibliographic record
Abstract
INTRODUCTION: SARS-CoV-2 is fundamentally a respiratory pathogen with a wide spectrum of symptoms. The COVID-19 related pancreatitis is less considered than other clinical features. The purpose is to describe two cases of pancreatitis associated with COVID-19. METHODOLOGY: Patients' demographics, clinical features, laboratory, and instrumental findings were collected. RESULTS: Two patients admitted to the hospital were diagnosed with COVID-19 and severe acute pancreatitis, according to the Atlanta criteria. Other causes of acute pancreatitis were excluded. Treatment included broad-spectrum antibiotics, proton pump inhibitors, and low molecular weight heparin. Steroids, oxygen, antifungal treatment, and pain killers were administered when appropriate. Both patients were asymptomatic, with normal vital parameters and blood exams, and were discharged in a good condition. CONCLUSION: It is recommendable to include lipase and amylase on laboratory routine tests in order to evaluate the need for the abdominal CT-scan and specific therapy before hospital admission of the patients with COVID-19 related life-threatening acute pancreatitis.
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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) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.007 | 0.006 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.002 | 0.003 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".