Menetrier's disease (protein-losing gastropathy) in a child with acute lymphoblastic leukemia
Bibliographic record
Abstract
A 3-year-old boy with high-risk precursor-B ALL presented with abdominal pain, vomiting, and hypoalbuminemia just before his second scheduled course of high-dose methotrexate in interim maintenance. Examination was significant for epigastric tenderness and periorbital edema. Abdominal imaging revealed a circumferential thickening of the stomach with an increased mucosal enhancement and a mild circumferential thickening of segments of small bowel loops. Cytomegalovirus (CMV) of the patient, determined by PCR, in blood was positive with a low titer and was subsequently negative. Upper endoscopy revealed hypertrophic rugae and folds in the stomach and duodenum, and biopsy showed giant gastric folds and foveolar hyperplasia but was negative for CMV. He received supportive care and a 2-week course of ganciclovir and Cytogam with clinical improvement. We report a case of Menetrier's disease (Protein-losing gastropathy), which was diagnosed in a child with acute leukemia. Menetrier's disease should be considered in any patient with symptoms referable to the gastrointestinal tract and thickened stomach and bowel loops detected by radiologic imaging.
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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 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| 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".