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Enregistrement W2342410120 · doi:10.1182/blood.v122.21.1735.1735

Cost-Utility Of Bortezomib In Induction Treatment Prior To Autologous Stem-Cell Transplantation (ASCT) In Previously Untreated Multiple Myeloma Patients In Canada

2013· article· en· W2342410120 sur OpenAlexaffabout
Tom Kouroukis, Darrell White, Morgan Kruse, Donna Lawrence, Cristina Trambitas, Matthew C. Cheung

Notice bibliographique

RevueBlood · 2013
Typearticle
Langueen
DomaineMedicine
ThématiqueMultiple Myeloma Research and Treatments
Établissements canadiensHealth Sciences CentreQueen Elizabeth II Health Sciences CentreDalhousie UniversitySunnybrook Health Science CentreJuravinski Cancer Centre
Organismes subventionnairesnon disponible
Mots-clésBortezomibMultiple myelomaMedicineAutologous stem-cell transplantationRegimenOncologyInternal medicineTransplantationClinical trialProgression-free survivalSurgeryChemotherapy

Résumé

récupéré en direct d'OpenAlex

Abstract Introduction The effectiveness of bortezomib for induction treatment prior to ASCT in multiple myeloma (MM) patients has been demonstrated in a number of randomized, open-label phase III trials, including the IFM 2005-01 trial (Harousseau et al., J Clin Oncol 2010;28(30):4621-9). This trial showed that the addition of bortezomib as part of an induction treatment prior to ASCT resulted in statistically significant improvements in post-induction response rates and longer progression-free survival (PFS) compared to a non-bortezomib containing regimen (NBCR). The objective of this study was to assess the cost-utility of a bortezomib-containing regimen (BCR) vs. a NBCR for induction treatment in previously untreated MM patients prior to ASCT from a Canadian public payer perspective, based on the results of the IFM 2005-01 study. Methods A Markov model was developed to estimate the cost-utility over a lifetime horizon (50 years) in previously untreated MM patients undergoing induction and ASCT. The model simulated disease progression of patients with previously untreated MM through three health states: “progression-free”, “progression” and “death”, with all patients beginning in the progression-free state. The PFS and overall survival (OS) curves from the IFM 2005-01 trial were extrapolated beyond the study follow-up period to estimate the timeframe spent in each health state. Each health state was associated with a utility value and direct medical costs. Utilities for the progression-free and progression health states were derived from a previous cost-utility analysis for bortezomib and were 0.81 and 0.645, respectively (Hornberger et al., Eur J Haematol 2010;85(6):484-91). Transition probabilities between health states were estimated by calibrating the model to the PFS and OS curves from the IFM 2005-01 trial. In the base case, transition probabilities beyond the trial follow-up period were conservatively assumed to be equal for both treatment groups. Medical resource utilization was estimated using the IFM 2005-01 trial, and supplemented by published literature and clinical advisors. Clinical advisors also provided input on management of adverse events (> grade 3) and treatment of patients who progressed after induction and ASCT. Resource costs were estimated using Canadian sources ($CAN 2012) and costs and outcomes were discounted at 5% annually. Because patients in each group incurred similar costs (i.e. cost of an ASCT), only incremental costs between the two arms were included in the analysis. One-way sensitivity analyses and probabilistic sensitivity analyses were performed to test the robustness of the model. Results The mean total MM-related cost over the lifetime analysis in the model was $68,800 per patient treated with a BCR and $47,000 per patient treated with a NBCR. Addition of bortezomib to the induction regimen increased costs by $21,700 (see table). Over the model lifetime, a delay in progression with a BCR led to 0.25 years of additional survival compared to a NBCR and a quality-adjusted life-year (QALY) gain of 0.22 years. The incremental cost-utility ratio for induction using a BCR compared to a NBCR approach was $99,200/QALY. Sensitivity analyses identified the major factors impacting the cost-utility ratio as: transition probabilities beyond the trial follow-up period, discounting, utilities and bortezomib costs. The probability of a BCR being cost-effective compared to a NBCR was 43.9% at a threshold of $100,000/QALY. Conclusions A number of phase 3 trials have demonstrated the effectiveness of bortezomib as part of an induction regimen prior to ASCT. This analysis indicates that, from a Canadian perspective, induction treatment with a BCR in previously untreated MM patients prior to ASCT can be cost-effective at conventional decision thresholds with a cost-utility ratio of $99,200/QALY. Disclosures: Kouroukis: Janssen Inc.: Honoraria. White:Janssen Inc.: Consultancy, Honoraria. Kruse:OptumInsight: Employment. Lawrence:OptumInsight: Employment. Trambitas:Janssen Inc.: 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)0,001
score de la tête « metaresearch » (Gemma)0,005
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,064
Score d'incertitude au seuil0,465

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0010,005
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0010,001
Bibliométrie0,0010,001
Études des sciences et des technologies0,0010,001
Communication savante0,0020,000
Science ouverte0,0010,001
Intégrité de la recherche0,0010,001
Charge utile insuffisante (le modèle a refusé de juger)0,0030,000

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 Opus0,022
Tête enseignante GPT0,258
Écart entre enseignants0,235 · 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'étudeObservationnel
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
Publié2013
Routes d'admission2
Résumé présentoui

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