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Drug Utilization and Cost Considerations of Erythropoiesis-Stimulating Agents in Patients with Myelodysplastic Syndromes.

2007· article· en· W2565199921 on OpenAlexaff
François Laliberté, Scott McKenzie, Brahim Bookhart, Mei Sheng Duh, Patrick Lefèbvre

Bibliographic record

VenueBlood · 2007
Typearticle
Languageen
FieldMedicine
TopicErythropoietin and Anemia Treatment
Canadian institutionsGroup for Research in Decision Analysis
Fundersnot available
KeywordsMedicineDarbepoetin alfaDosingEpoetin alfaMyelodysplastic syndromesAnemiaErythropoiesisDrug holidayInternal medicineRetrospective cohort studyPediatricsFamily medicineBone marrow

Abstract

fetched live from OpenAlex

Abstract Background: Prevalent in the vast majority of patients at diagnosis, anemia associated with myelodysplastic syndromes (MDS) has historically been treated through red blood cell (RBC) transfusions. More recently, the erythropoiesis-stimulating agents (ESAs), epoetin alfa (EPO) and darbepoetin alfa (DARB), have also been employed for the treatment of MDS-associated anemia. To characterize real-world utilization of ESAs in adult patients with MDS, this retrospective analysis of medical claims examined EPO and DARB dosing patterns, ESA treatment costs, and RBC transfusion use. Methods: An analysis of de-identified medical claims from January 2004–March 2006 using the Integrated Health Care Information Services (IHCIS) national database, which encompasses over 35 health plans, was conducted. Patients included were ≥18 years old, had ≥1 claim for MDS (ICD-9 code: 238.7) prior to ESA therapy, were newly initiated on either EPO or DARB, and received ≥2 doses during the treatment period. Patients with cancer (ICD-9 codes: 140–209) within 180 days prior to ESA treatment initiation were excluded. The study period terminated with either the last ESA treatment dose, end of data availability, initial AML diagnosis, or initial stem cell transplant, whichever occurred first. Dosing frequency was classified into mutually exclusive categories: once weekly (QW; ≤9 days), once every two weeks (Q2W; 9.1 to 18 days), and once every three weeks or longer (≥Q3W; >18 days), based on the average dosing interval during treatment. Mean cumulative ESA dose was used to calculate drug cost (based on July 2007 WAC: $12.005/1,000 Units for EPO and $4.576/mcg for DARB) and dose ratio (Units EPO: mcg DARB). RBC transfusions were identified from medical procedure codes, and the proportion of patients transfused during treatment was compared between the two groups. Results: A total of 193 patients, 146 receiving EPO and 47 receiving DARB, formed the study population. Patients receiving EPO were older (69.9 vs. 66.2 years for DARB, p=0.018) with a similar proportion of women (56.2% vs. 51.1%, p=0.541). Extended dosing frequency (defined as every two weeks or greater, ≥Q2W) during treatment was observed in the majority of patients in both groups (EPO: QW 43%, Q2W 35%, ≥Q3W 22%; DARB: QW 15%, Q2W 60%, ≥Q3W 25%). Mean treatment duration was similar for both groups (EPO: 88.3 days; DARB: 87.1 days; p=0.944). The mean cumulative ESA dose administered was 406,685 Units for the EPO group and 1,509 mcg for the DARB group, corresponding to a dose ratio of 270:1 (Units EPO: mcg DARB). Use of concurrent white blood cell growth factors (G-CSF or GM-CSF) was similar (EPO 8.2%, DARB 6.4%, p =0.683). RBC transfusion was administered to 8.9% of EPO patients compared to 8.5% of DARB patients (p=0.934) Cumulative drug cost was lower in the EPO group by $2,022 (EPO $4,882; DARB $6,904; p=0.101) compared to DARB. Conclusion: Based on these data from actual clinical practice, the majority of MDS patients received extended dosing regimens (≥Q2W) of either EPO or DARB. A dose ratio of 270:1 (Units EPO: mcg DARB) between the two agents and 29% lower drug cost in the EPO group was observed. These findings are similar to those previously reported from published real-world ESA drug utilization studies in other therapeutic areas.

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 score0.006
Threshold uncertainty score0.011

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.002
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.031
GPT teacher head0.286
Teacher spread0.255 · 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".

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Citations1
Published2007
Admission routes1
Has abstractyes

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