Anticonvulsant-Induced Marrow Suppression and Immune Thrombocytopenia
Bibliographic record
Abstract
Phenytoin and carbamazepine are rarely associated with serious hematologic side effects but can include impairment of either humoral or cell-mediated immunity. We describe a patient who developed severe granulocytopenia while taking phenytoin. The phenytoin was replaced by carbamazepine and the patient subsequently developed erythroid hypoplasia, neutropenia and persistent thrombocytopenia. In vitro studies demonstrated a phenytoin-dependent antigranulocyte antibody directly implicating phenytoin in the leukopenia. An extremely high titre of platelet-associated IgG was found which was independent of the presence of carbamazepine. Autoantibodies directed against the patient's red cells, granulocytes and lymphocytes were also demonstrated. In vitro marrow culture studies failed to detect cellular or humoral inhibitors and were suggestive of a stem cell defect. These studies indicate that anticonvulsant therapy can result in sustained humoral abnormalities as well as in nonimmune mediated marrow suppression.
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| 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".