Bibliographic record
Abstract
We report a case of hepatitis in a 58-year-old woman being treated with thalidomide for end-stage plasma cell leukemia. The patient had a medical history including chronic stable hepatitis C infection. At diagnosis there was a severe anemia, thrombocytopenia, hypercalcemia, IgG paraproteinemia, peripheral blood myeloma cells, and a marrow plasmacytosis with lytic bony lesion. The disease was refractory to standard chemotherapy, and she was treated with oral thalidomide. Within 1 week she became jaundiced and developed a marked transaminitis. This promptly resolved upon cessation of thalidomide alone. Thalidomide has recently enjoyed renewed interest as a treatment in many disorders, including plasma cell leukemia. To our knowledge, this is the first reported case of thalidomide-associated hepatotoxicity. Although the mechanism of its actions on the liver are uncertain, it is possible that thalidomide acts as a direct hepatotoxin or as an immuno-modulator, altering the activity of chronic viral hepatitis. We present this case to increase awareness of a new potential side effect of thalidomide as its clinical indications expand.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.003 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.004 | 0.001 |
| Scholarly communication | 0.002 | 0.003 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.005 | 0.003 |
| Insufficient payload (model declined to judge) | 0.003 | 0.002 |
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".