MétaCan
Menu
Back to cohort
Record W2046437108 · doi:10.1177/1078155206069925

Dose conversion and cost effectiveness of erythropoietic therapies in chemotherapy-related anemia: a Canadian application

2006· article· en· W2046437108 on OpenAlexaboutno aff
Pierre Y. Crémieux, Francis Vekeman, Patrick Lefèbvre

Bibliographic record

VenueJournal of Oncology Pharmacy Practice · 2006
Typearticle
Languageen
FieldMedicine
TopicErythropoietin and Anemia Treatment
Canadian institutionsnot available
Fundersnot available
KeywordsDarbepoetin alfaEpoetin alfaMedicineDosingAnemiaInternal medicineChemotherapyRegimenCost effectivenessOncology

Abstract

fetched live from OpenAlex

OBJECTIVE: To determine the dose-conversion ratio (DCR) between epoetin alfa and darb-epoetin alfa in cancer patients and compare the treatment costs of both agents at the estimated DCRs. METHODS: A comprehensive search of the literature was carried out on clinical trials evaluating patients with chemotherapy-related anemia treated with epoetin alfa or darbepoetin alfa. A multivariate meta-analysis regression was conducted to determine the relative doses of these two agents at which they were equally effective. The effectiveness measure used was the area under the hemoglobin change curve. Using the estimated DCR for each dosing regimen, the relative cost of epoetin alfa and darbepoetin alfa treatments in Canada was evaluated. RESULTS: Twenty-nine study arms, evaluating 12,923 patients (10,582 treated with epoetin alfa and 2341 treated with darbepoetin alfa), were eligible for this study. Results comparing specific dosing regimens indicated that the DCRs were systematically lower than 200:1. The cost premium associated with darbepoetin alfa weekly drug cost was between 37 and 44% above epoetin alfa for the same level of effectiveness. CONCLUSION: Based on the evidence from this meta-analysis, epoetin alfa appeared to be more cost-effective compared to darbepoetin alfa in Canada for cancer patients.

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)0.001
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.454
Threshold uncertainty score0.993

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 head0.016
GPT teacher head0.354
Teacher spread0.338 · 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

Citations6
Published2006
Admission routes1
Has abstractyes

Explore more

Same venueJournal of Oncology Pharmacy PracticeSame topicErythropoietin and Anemia TreatmentFrench-language works237,207