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Record W2062079015 · doi:10.1159/000203854

Long-Term Therapy with Deferiprone

2009· review· en· W2062079015 on OpenAlexaffabout
Nancy F. Olivieri

Bibliographic record

VenueActa Haematologica · 2009
Typereview
Languageen
FieldMedicine
TopicHemoglobinopathies and Related Disorders
Canadian institutionsHospital for Sick Children
Fundersnot available
KeywordsDeferiproneDeferoxamineMedicineThalassemiaIncidence (geometry)Intensive care medicineClinical trialPediatricsInternal medicine

Abstract

fetched live from OpenAlex

Data from several trials have provided direct and supportive evidence for the efficacy of deferiprone in the treatment of iron overload in thalassemia major. Deferiprone has been shown to induce sustained decreases in body iron to concentrations associated with survival free from the complications of iron overload in deferoxamine (DFO)-treated patients. Despite this evidence of efficacy, the risk of agranulocytosis mandates a careful evaluation in patients willing and able to use DFO. The incidence of agranulocytosis associated with deferiprone is under study in a prospective multicenter trial in Canada, Italy and the United States, under corporate sponsorship (Apotex Research, Canada). The results of this study should determine the risk associated with the use of this agent, and may provide the data required for an FDA decision regarding licensing of this agent for the treatment of iron overload, a goal supported by investigators worldwide.

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 imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.003
Threshold uncertainty score0.010

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.001

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 head0.048
GPT teacher head0.323
Teacher spread0.275 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreReview

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

Citations57
Published2009
Admission routes2
Has abstractyes

Explore more

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