Sclerosing encapsulating peritonitis and intra-abdominal fistulas secondary to <i>Mycobacterium bovis</i> from remote consumption of unpasteurized cow’s milk
Bibliographic record
Abstract
Mycobacterium bovis tuberculosis acquired in Canada is extremely rare, thanks to eradication and surveillance programs as well as to milk pasteurization practices initiated in the early twentieth century. This case report presents a case of abdominal tuberculosis in a 69-year-old Canadian-born white man presumed to be secondary to consumption of unpasteurized cow’s milk in childhood. He initially presented with non-specific abdominal symptoms and underwent extensive work-up, including CT-guided biopsy, which failed to elucidate the diagnosis. After multiple hospitalizations, he underwent exploratory laparotomy with peritoneal biopsy, from which M. bovis was cultured. Diagnosis of abdominal tuberculosis is notoriously challenging because of its long latency period and the non-specific nature of presenting symptoms. In addition, imaging similarities between abdominal tuberculosis and neoplastic processes can cause further confusion. This case highlights the diagnostic challenges of this disease while illustrating the importance of a thorough history, particularly in the context of a difficult diagnosis.
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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) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 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".