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Record W2140996066 · doi:10.3324/haematol.12352

Safety and efficacy of pegylated interferon  -2a and ribavirin for the treatment of hepatitis C in patients with thalassemia

2008· article· en· W2140996066 on OpenAlexaff
Paul Harmatz, Maureen M. Jonas, Janet L. Kwiatkowski, Elizabeth C. Wright, Roland A. Fischer, Elliott Vichinsky, Patricia J. Giardina, Ellis J. Neufeld, John B. Porter, Nancy F. Olivieri

Bibliographic record

VenueHaematologica · 2008
Typearticle
Languageen
FieldMedicine
TopicHepatitis C virus research
Canadian institutionsUniversity Health Network
FundersNational Center for Research ResourcesNational Institutes of HealthNational Heart, Lung, and Blood InstituteNew England Research InstitutesDeutsches Krebsforschungszentrum
KeywordsRibavirinMedicineNeutropeniaPegylated interferonGastroenterologyThalassemiaInternal medicineLiver biopsyHepatitis CHepatitis C virusImmunologyBiopsyVirusChemotherapy

Abstract

fetched live from OpenAlex

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.015
Threshold uncertainty score0.225

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.032
GPT teacher head0.294
Teacher spread0.263 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations50
Published2008
Admission routes1
Has abstractyes

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