Safety and effectiveness of long-term therapy with the oral iron chelator deferiprone
Bibliographic record
Abstract
The identification of a safe, orally active iron chelator is critically important for the prevention of morbidity and early death in patients receiving regular red cell transfusions. Based on our findings in a 1-year multicenter, prospective study of the safety and efficacy of deferiprone in patients with thalassemia major, we have extended the treatment period to 4 years. The mean dose of the chelator was 73 mg/kg per day during 531 patient-years. The rates of agranulocytosis (absolute neutrophil count [ANC] < 500 x 10(9)/L) and milder forms of neutropenia (ANC, 500-1500 x 10(9)/L) were 0.2 and 2.8 per 100 patient-years, respectively. Neutropenia occurred significantly more commonly in patients with intact spleens. Gastrointestinal and joint symptoms decreased significantly after the first year of therapy, and led to discontinuation of deferiprone in only one patient in years 2 to 4. The mean alanine aminotransferase (ALT) value of 71 U/L after 4 years of therapy was significantly higher than the baseline value of 61 U/L. Trend analysis showed no increase in the ALT levels or the percentage of patients with ALT levels greater than twice the upper limit of the reference range. Ferritin levels did not change significantly from the values at the time of change from deferoxamine to deferiprone in either the intention-to-treat analysis or in the 84 patients who completed 4 years of therapy. Because of concerns regarding the effectiveness of the studied dose of deferiprone, 47 patients discontinued therapy, whereas 15 patients interrupted therapy because of concerns regarding low iron levels. The results of this study help to define the safety and effectiveness of long-term therapy with deferiprone.
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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 | 0.002 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 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) | 0.001 | 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".