Hepatitis in Disseminated Bacillus Calmette-Guérin Infection
Bibliographic record
Abstract
Local immunotherapy with an attenuated live strain of Mycobacterium bovis, bacillus Calmette-Guérin (BCG), is an effective and frequently used treatment for in situ transitional cell carcinoma (TCC) of the bladder. Success rates are high, and serious side effects are infrequent but can affect every organ system. A 79-year-old patient with recently diagnosed TCC who was treated with intravesical BCG for a recurrence after initial surgical treatment is reported. After unsuccessful attempts at bladder catheterization with the creation of a false passage for his third treatment, BCG was instilled via a suprapubic catheter the same day and again a week later. Two weeks after the third BCG instillation, the patient presented with profound lethargy and weakness to the point of not being able to get up out of a chair. He was febrile, anorexic, icteric and had hepatosplenomegaly. Disseminated BCG infection was suspected on the basis of history, clinical examination and a liver biopsy that showed noncaseating granulomatous hepatitis. Empirical treatment was started with antituberculous combination therapy. A short course of an oral corticosteroid was given. Clinical improvement was marked and sustained so that the patient could be discharged home for the full six-month course of his treatment. Disseminated BCG infection with granulomatous hepatitis can be severe and life-threatening in cases where a large intravascular inoculum of BCG may have been given inadvertently.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| 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".