Safety and efficacy of pegylated interferon -2a and ribavirin for the treatment of hepatitis C in patients with thalassemia
Bibliographic record
Abstract
Antiviral treatment of hepatitis C virus in thalassemia has raised concerns of ribavirin-induced hemolysis and increased iron loading. This study examined the change in liver iron concentration, transfusion requirement, virological response, and iron-related toxicities after pegylated interferon alpha-2a/ribavirin treatment in patients with thalassemia. Median transfusions increased by 44%. However, only 29% (4/14) of patients showed an increase of liver iron concentration > 5mg/g dry wt. and overall liver iron remained stable. One of 4 patients with genotype 2 or 3 demonstrated sustained viral response, compared with 50% with genotype 1 (6/12). No patient developed cardiac, liver or endocrine toxicities, although neutropenia occurred in 52%. The molar efficacy of deferoxamine improved with reduction in liver inflammation on biopsy (p=0.001). In conclusion, antiviral treatment is safe if transfusion requirement, iron toxicities and neutropenia are monitored.
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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 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) | 0.001 | 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".