Lack of progressive hepatic fibrosis during long-term therapy with deferiprone in subjects with transfusion-dependent beta-thalassemia
Bibliographic record
Abstract
Patients with thalassemia major require lifelong chelation therapy to prevent iron-induced organ damage. The orally active chelator deferiprone has been proposed as an alternative for patients unable or unwilling to use deferoxamine. One report has concluded that deferiprone may worsen hepatic fibrosis in patients with thalassemia, whereas others have found no detrimental effect. A panel of 3 pathologists evaluated 112 coded liver biopsies obtained from 56 patients before and after deferiprone therapy. Fibrosis was scored with the Laennec and Ishak systems. The mean interval between liver biopsies was 3.1 years (range, 1.2-4.9 years). In 11 patients seronegative for hepatitis C, fibrosis scores before and after therapy were 1.12 +/- 1.07 and 0.97 +/- 0.84 (P =.42) with the use of the Ishak system, and 0.71 +/- 0.65 and 0.70 +/- 0.53 (P =.91) with the Laennec system. Among 45 patients seropositive for hepatitis C, fibrosis scores before and after therapy were 1.91 +/- 1.13 and 2.04 +/- 1.30 (P =.43) with the use of the Ishak system and 1.26 +/- 0.73 and 1.35 +/- 0.90 (P =.41) with the Laennec system. When the data set was limited to biopsies that each contained 6 or more portal tracts (31 patients), analysis still showed no significant change in fibrosis with time. With the use of the Laennec system, the fibrosis score did not increase by more than one level in any patients without hepatitis C; it increased by more than one level in 1 patient with hepatitis C; and it did not decrease by more than one level in any of the 56 patients. This analysis of the largest collection of liver biopsies reported to date in patients receiving deferiprone demonstrates no evidence of deferiprone-induced progression of hepatic fibrosis during long-term therapy.
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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 | 0.001 | 0.002 |
| 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 | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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".