Collagenous enterocolitis manifesting as watery diarrhoea and iron-deficiency anaemia
Bibliographic record
Abstract
A 56-year-old Caucasian woman presented with epigastric pain, watery diarrhoea, bloating and flatulence following treatment with duloxetine and venlafaxine for anxiety and depression. Abdominal examination was benign. Blood work revealed haemoglobin of 96 g/L (115-160 g/L), iron 6 μmol/L (10-33 μmol/L), transferrin saturation 0.08 (0.20-0.55), ferritin 26 μg/L (15-180 μg/L), albumin 46 g/L (35-50 g/L), pre-albumin 293 mg/L (170-370 mg/L), total IgA 2.64 g/L (0.78-3.58 g/L) and anti-tTG IgA 5 units (<20 units). Faecal occult blood tests were 3/3 positive and stool cultures were negative. CT enterography was normal. Colonic biopsy revealed collagenous colitis, while duodenal biopsy showed collagenous sprue with blunted to completely flattened villi and markedly thickened subepithelial collagen table entrapping capillaries and lymphocytes. The patient started a gluten-free diet, loperamide and ferrous gluconate. Her symptoms resolved and a faecal immunochemical test performed 6 months later was negative.
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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 | 0.002 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.003 | 0.002 |
| 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".