Pancreatic VIPoma as a Differential Diagnosis in Chronic Pediatric Diarrhea: A Case Report and Review of the Literature
Bibliographic record
Abstract
Chronic diarrhea is a common chief complaint in the pediatric population with a wide range of diagnostic differentials; as such, whilst suspecting common causes, less prevalent conditions tend to be overlooked, such as neuroendocrine tumor pathologies. VIPomas are characterized by hypersecretion of the vasoactive intestinal peptide (VIP), causing watery diarrhea, hypokalemia, and achlorhydria. Nonetheless, its low incidence rate in children makes it an easily unnoticed pathology. Herein, we report a case of a 14-year-old female patient and a review of relevant literature. The patient complained of 7-month history of watery diarrhea, multiple emetic episodes, and relevant past medical history of multiple hospitalizations. Chronic diarrheal disease work-up studies, including a high VIP scintigram, showed a lesion suggestive of a VIPoma-type neuroendocrine pancreatic tumor. A distal pancreatectomy was performed with a complete resolution of the symptoms. When faced with a pediatric patient presenting with chronic secretory diarrhea and whose work-up studies rule out the most common pathologies, the possible presence of a neuroendocrine tumor as VIPoma should be considered.
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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) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.006 | 0.005 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".