Metastatic Hepatocellular Carcinoma in a Patient with Crohn’s Disease Treated with Azathioprine and Infliximab: A Case Report and Literature Review
Bibliographic record
Abstract
Hepatocellular carcinoma most commonly occurs in patients with underlying liver disease or cirrhosis. We describe a case of hepatocellular carcinoma in a 34-year-old man with Crohn's disease treated with azathioprine and infliximab. The patient had no history of liver disease and a complete autoimmune and viral workup was unremarkable. Unfortunately, the patient developed widespread metastatic disease and passed away 5 months after his initial diagnosis. The mechanism of hepatocellular carcinoma in patients' with Crohn's disease is poorly understood and may include both autoimmunity and treatment-related complications. Previous case reports suggest the possibility of a concerning association between azathioprine therapy and the development of hepatocellular carcinoma in patients with Crohn's disease. Clinicians may consider early imaging in patients with Crohn's disease presenting with concerning symptomatology or abnormal liver enzymes, especially in those being treated with azathioprine alone or in combination with infliximab. Future research may help to uncover additional risk factors for this exceedingly rare diagnosis in this patient population.
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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 | 0.004 | 0.003 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.003 | 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".