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Enregistrement W2979922329 · doi:10.1182/blood.v124.21.1288.1288

Obinutuzumab and Chlorambucil Versus Chlorambucil Monotherapy for Treatment of Previously Untreated Chronic Lymphocytic Leukemia Where Fludarabine-Based Chemotherapy Is Considered Inappropriate: A Canadian Cost-Utility Analysis

2014· article· en· W2979922329 sur OpenAlexaffabout
Heather Cameron, Melissa Thompson, John-Paul Marino, M. Duong, Ursula Becker

Notice bibliographique

RevueBlood · 2014
Typearticle
Langueen
DomaineMedicine
ThématiqueChronic Lymphocytic Leukemia Research
Établissements canadiensRoche (Canada)
Organismes subventionnairesnon disponible
Mots-clésChlorambucilObinutuzumabFludarabineMedicineChronic lymphocytic leukemiaInternal medicineChemotherapyOncologyLeukemiaCyclophosphamide

Résumé

récupéré en direct d'OpenAlex

Abstract BACKGROUND: In Canada, treatment options are limited for patients with chronic lymphocytic leukemia (CLL) where fludarabine-based regimens are considered inappropriate. For these patients, chlorambucil monotherapy is considered a standard treatment option. Obinutuzumab is a novel recombinant humanized and glycoengineered Type II anti-CD20 monoclonal antibody of the IgG1 isotype. Clinical data demonstrate that first line therapy with obinutuzumab + chlorambucil can improve progression-free survival (PFS) compared with chlorambucil alone in CLL patients ineligible for fludarabine-based chemotherapy (29.9 vs. 11.1 months; HR 0.18 (95% CI [0.14; 0.24]), p<0.0001). (Goede et al., 2014; Roche. Data on file; May 2014). Obinutuzumab + chlorambucil also demonstrated an overall survival (OS) benefit versus chlorambucil alone (HR for death, 0.47; 95% CI, 0.29 to 0.76; P=0.0014). (Goede et al., 2014; Roche. Data on file; May 2014). We conducted a cost-effectiveness and cost-utility analysis of obinutuzumab + chlorambucil versus chlorambucil monotherapy from a Canadian healthcare perspective. METHODS: A Markov model was created to estimate the cost-utility of the treatment with obinutuzumab + chlorambucil versus chlorambucil monotherapy over a ten-year time horizon in previously untreated CLL patients ineligible for fludarabine-based chemotherapy. The model simulated patients moving through three health states: “progression-free”, “progression”, and “death”, with all patients beginning in the progression-free state. The progression-free state was divided into sub health states; progression-free with therapy, and progression-free without therapy. Each health state was associated with a utility value and direct medical costs. (Roche. Data on file; April 2014) Transition probabilities from the progression-free health state to the progression state were determined by PFS collected in the CLL11 trial for obinutuzumab + chlorambucil and chlorambucil monotherapy arms (Roche. Data on file; May 2014). Patients who experienced disease progression transitioned to the progression health state where they received second-line therapy and ongoing supportive care. Transition probabilities from the progression-free health state to death were determined based on the treatment specific death rates observed in CLL11. Due to the lack of mature OS data from CLL11 the transition probabilities from the progressed health state to death were determined based on data from the CLL5 trial (Eichhorst et al., 2009). Resource use and costs were estimated using Canadian sources ($CAD 2014), and both costs and outcomes were discounted at 5% annually. The stability of model results was tested using one-way and probabilistic sensitivity analyses. RESULTS: Treatment with obinutuzumab + chlorambucil produced more life years and quality adjusted life years (QALYs) than treatment with chlorambucil alone. The incremental cost was $35,330 for an incremental life years gain (LYG) of 1.038 and an incremental QALY gain of 0.975 (Table 1). These result in an incremental cost per LYG ratio of $34,028 and an incremental cost per QALY gained of $36,246. The results of one-way sensitivity analyses indicated that the model was robust to changes in model inputs, with the most impactful parameters being time horizon, assumptions regarding survival, treatment duration, and exclusion of second-line therapies. A probabilistic sensitivity analysis resulted in a mean ICER of $35,370, with obinutuzumab + chlorambucil having a 94.3% chance of being cost-effective at a willingness to pay threshold of $50,000/QALY, and a 100% chance of being cost-effective at a willingness to pay threshold of $100,000/QALY and $150,000/QALY. Abstract 1288. Table 1. Ten year cost-effectiveness results Treatment Total Costs Total LYs Total QALYs Incremental Costs Incremental LYs Incremental QALYs Cost per LYG Cost per QALY Chlorambucil $22,417 3.971 2.546 Obinutuzumab + Chlorambucil $57,747 5.009 3.521 $35,330 1.038 0.975 $34,028 $36,246 CONCLUSIONS: The results of this analysis demonstrated that improvements in PFS and OS with obinutuzumab + chlorambucil translate into longer term gains in LYs and QALYs. From a Canadian healthcare perspective, first line treatment of CLL patients ineligible for fludarabine based therapies with obinutuzumab + chlorambucil is cost-effective with a cost-utility ratio of $36,246/QALY. Disclosures Cameron: Cornerstone Research Group: Employment. Thompson:Cornerstone Research Group: Employment. Marino:2Hoffmann-La Roche Limited : Employment. Duong:2Hoffmann-La Roche Limited : Employment. Becker:Roche: Employment. Wiesner:4Genentech, Inc. A Member of the Roche Group: Employment.

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction machine sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.

score de la tête « metaresearch » (Codex)0,006
score de la tête « metaresearch » (Gemma)0,018
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Simulation ou modélisation · Signal consensuel: Simulation ou modélisation
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,117
Score d'incertitude au seuil0,419

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0060,018
Méta-épidémiologie (sens strict)0,0020,001
Méta-épidémiologie (sens large)0,0020,009
Bibliométrie0,0030,005
Études des sciences et des technologies0,0010,001
Communication savante0,0020,001
Science ouverte0,0030,001
Intégrité de la recherche0,0010,003
Charge utile insuffisante (le modèle a refusé de juger)0,0070,000

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,028
Tête enseignante GPT0,292
Écart entre enseignants0,264 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeSimulation ou modélisation
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations3
Publié2014
Routes d'admission2
Résumé présentoui

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