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Enregistrement W3096713021 · doi:10.1182/blood-2020-134596

Cost-Effectiveness of a 12-Month Fixed Duration of Venetoclax in Combination with Obinutuzumab Versus Chemoimmunotherapy and Other Novel Combinations in First-Line Chronic Lymphocytic Leukemia in Canada

2020· article· en· W3096713021 sur OpenAlexaffabout
Anuja Chatterjee, Gijs van de Wetering, Ron Goeree, Anne Marie Desbois, P Manzi, Beenish S. Manzoor, Carolyn Owen, Kavita Sail

Notice bibliographique

RevueBlood · 2020
Typearticle
Langueen
DomaineMedicine
ThématiqueChronic Lymphocytic Leukemia Research
Établissements canadiensFoothills Medical CentreABB (Canada)McMaster University
Organismes subventionnairesnon disponible
Mots-clésObinutuzumabVenetoclaxMedicineChemoimmunotherapyChlorambucilOfatumumabIbrutinibBendamustinePopulationChronic lymphocytic leukemiaFludarabineInternal medicineRituximabOncologyIGHV@LeukemiaCyclophosphamideChemotherapyLymphoma

Résumé

récupéré en direct d'OpenAlex

OBJECTIVES: To estimate the cost-effectiveness of venetoclax + obinutuzumab (GAZYVA®, G), (VEN+G) in the treatment of first-line (1L) chronic lymphocytic leukemia (CLL) from a Canadian health care system cost perspective. METHODS: A three-state partitioned-survival model was used to extrapolate progression-free survival (PFS) and overall survival (OS) over a 10-year time horizon. Cost-effectiveness was estimated comparing 12-month fixed duration of VEN+G versus (vs) G + Chlorambucil (GClb) based on the CLL14 clinical trial (NCT02242942). Other comparators included Bendamustine + rituximab (BR), Chlorambucil + rituximab (Clb+R), Ibrutinib (Ibr), Acalabrutinib (Acala) and Acalabrutinib + GAZYVA (Acala+G). VEN+G was also compared to the combination of fludarabine, cyclophosphamide and rituximab (FCR) in the overall 1L CLL population which included unfit and fit patients. Relative efficacy of VEN+G vs other comparators was estimated using a network meta-analysis. Health state utilities and adverse event disutilities were derived from a systematic literature review and other published sources. Costs included CLL treatment, routine care and monitoring, adverse events, disease progression costs, subsequent treatment costs, and end of life care. Uncertainty was assessed using an underlying probabilistic model (probabilistic analysis of uncertainty generated from 5,000 iterations), through deterministic sensitivity analyses (i.e., one-way sensitivity analyses (OWSA)), and through a series of alternative scenario analyses. RESULTS: For the overall unfit 1L CLL patient population, the probabilistic total discounted costs incurred over a 10-year time horizon were as follows: $217,727 for VEN+G vs $312,287 for GClb, $399,219 for BR, $380,713 for Clb+R, $736,017 for Ibr, $868,797 for Acala and $916,139 for Acala+G. The probabilistic total discounted quality adjusted life years (QALYs) were 4.964 for VEN+G vs 4.750, 4.550, 4.422, 4.709, 5.269, and 5.359, respectively for the comparators. For the overall 1L CLL patient population, the probabilistic total discounted costs were $219,651 for VEN+G vs $312,570 for GClb, $342,195 for FCR, $397,262 for BR, $380,551 for Clb+R, $757,129 for Ibr, $868,388 for Acala, and $916,798 for Acala+G. The probabilistic total discounted QALYs were 5.888 for VEN+G vs 5.519, 5.067, 5.198, 5.073, 5.597, 6.259 and 6.380, respectively for the comparators. VEN+G was found to be less costly and more efficacious (i.e., dominant) compared to GClb, BR, Clb+R, Ibr and FCR. As a result, incremental cost utility ratios (ICERs) were not calculated for these comparators. Acala and Acala+G resulted in ICERs ranging from $1.4-$2.1 million per QALY gained relative to VEN+G, which is not cost-effective. Based on the probabilistic model and 5,000 simulations, VEN+G was found to be at least 97% cost-effective across all decision maker willingness-to-pay thresholds. The results from the deterministic model were found to be similar to the probabilistic model. Using the deterministic model, and in comparison to the most commonly prescribed treatment for 1L CLL in Canada (i.e., Ibr), the OWSA comparing VEN+G to Ibr found that the most influential variables in the model were the PFS and OS hazard ratios for Ibr and the utility values for PFS and post-progression survival. CONCLUSION: VEN+G is an effective novel fixed duration treatment option which leads to deep and durable responses for the treatment of patients with unfit 1L CLL and provides excellent value-for-money compared with existing chemoimmunotherapy and treat to progression novel combinations. Disclosures Chatterjee: Pharmerit: Current Employment. Van de Wetering:Pharmerit: Current Employment. Goeree:AbbVie Inc.: Consultancy. Desbois:AbbVie Inc.: Current Employment, Current equity holder in publicly-traded company. Manzi:AbbVie Inc.: Current Employment, Current equity holder in publicly-traded company. Manzoor:AbbVie: Current equity holder in publicly-traded company. Owen:AbbVie, F. Hoffmann-La Roche, Janssen, Astrazeneca, Merck, Servier, Novartis, Teva: Honoraria. Sail:AbbVie Inc.: Current Employment, Current equity holder in publicly-traded company.

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 distillée sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.

score de la tête « metaresearch » (Codex)0,000
score de la tête « metaresearch » (Gemma)0,000
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Simulation ou modélisation · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,387
Score d'incertitude au seuil0,935

Scores Codex et Gemma par catégorie

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

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 Opus0,038
Tête enseignante GPT0,280
Écart entre enseignants0,241 · 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 tête enseignante, 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

Citations1
Publié2020
Routes d'admission2
Résumé présentoui

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