Bibliographic record
Abstract
FDA on October 14 announced the approval of deferiprone oral tablets for the treatment of transfusional iron overload in patients with thalassemia whose previous chelation therapy did not produce an adequate response. The drug will be marketed as Ferriprox by ApoPharma Inc. of Toronto. According to FDA, deferiprone was approved under the agency’s accelerated review process on the basis of the drug’s ability to reduce serum ferritin levels. In a dozen clinical studies involving a total of 236 patients with transfusional iron overload, serum ferritin levels fell by at least 20% in half of the patients treated with the drug. Approval of deferiprone was granted under the condition that the company will conduct a clinical trial to assess the safety and efficacy of the drug in patients with sickle cell disease who have transfusional iron overload. The labeling for deferiprone includes a boxed warning stating that the drug can cause agranulocytosis, which can lead to serious infections and death. This agranulocytosis may be preceded by neutropenia. The mechanism for deferiprone’s adverse effects on leukocytes is not known, according to the labeling.
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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.018 | 0.006 |
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".