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Cost of Current Iron Chelation Infusion Therapy and Cost-Effectiveness of Once-Daily Oral Deferasirox in Transfusion-Dependent Thalassemia Patients in Canada.

2006· article· en· W2594460255 on OpenAlexaffabout
Thomas E. Delea, K. El Ouagari, Oleg Sofrygin

Bibliographic record

VenueBlood · 2006
Typearticle
Languageen
FieldMedicine
TopicHemoglobinopathies and Related Disorders
Canadian institutionsNovartis (Canada)
Fundersnot available
KeywordsDeferasiroxDeferoxamineMedicineDeferiproneThalassemiaChelation therapyBeta thalassemiaBlood transfusionCost effectivenessInternal medicineIntensive care medicinePediatrics

Abstract

fetched live from OpenAlex

Abstract Background: Deferasirox (Exjade®) is a recently approved once-daily oral chelator that has been shown to produce reductions in liver iron concentrations and serum ferritin similar to those with infusional deferoxamine (Desferal®), in patients with β-thalassemia major or sickle cell disease (SCD) and chronic iron overload from blood transfusions. The objective of this study was to estimate the cost of deferoxamine administration in Canada and evaluate the cost-effectiveness of deferasirox versus deferoxamine for chronic iron overload from blood transfusions from the Ontario provincial healthcare system. Methods: Cost of chelation therapy with deferoxamine was estimated from five major treatment centers in Canada. Costs comprised the material used and the time spent by hospital pharmacists in preparing deferoxamine infusions. Cost-effectiveness of the new oral iron chelator, deferasirox, which could replace deferoxamine, was estimated using a Markov model. The model estimates and compares the total lifetime costs and quality-adjusted life years (QALYs) related to the use of deferasirox or deferoxamine in patients with β-thalassemia major at risk of chronic iron overload from blood transfusions. Dosages of deferasirox and deferoxamine used in the model were those that have been shown to be similarly effective in such patients. Compliance with deferoxamine was based on analyses of health-insurance claims data from transfusion-dependent thalassemia patients. Probabilities of complications of iron overload and death by compliance with chelation were estimated from published studies. Because data on compliance with deferasirox in typical clinical practice are unavailable, we used published data on compliance with the oral chelator deferiprone versus deferoxamine. Costs of deferasirox, deferoxamine, and drugs used in the treatment of complications of iron overload were based on publicly available data sources. Utilities were based on a study of patient preferences for oral versus infusional chelation therapy, as well as published literature and assumption. Future costs and QALYs were discounted at 5% annually. Costs were adjusted to 2004 Canadian dollars. Results: Cost of yearly infusion therapy in Canada was estimated at $6,000 per patient, excluding deferoxamine drug cost. Cost-effectiveness of deferasirox compared to deferoxamine was estimated at $45,054 per QALY gained resulting mainly from a gain in 2.9 QALYs obtained at an expected lifetime cost of $130,058 per patient. Cost-effectiveness is sensitive to the estimated costs of deferoxamine and infusional therapy, as well as the quality of life benefit associated with oral versus infusional therapy, and is more favorable in younger patients. Conclusion: In patients with transfusion-dependent β-thalassemia, the cost-effectiveness of deferasirox versus deferoxamine is within the range generally considered acceptable in Canada.

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)0.001
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.085
Threshold uncertainty score0.615

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.002
Bibliometrics0.0010.002
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.016
GPT teacher head0.255
Teacher spread0.239 · 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 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

Citations2
Published2006
Admission routes2
Has abstractyes

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