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Enregistrement W3097787544 · doi:10.1182/blood-2020-133912

Delays in Time to Deterioration of Health-Related Quality of Life Were Observed in Patients with Acute Myeloid Leukemia Receiving Venetoclax in Combination with Azacitidine or in Combination with Low-Dose Cytarabine

2020· article· en· W3097787544 sur OpenAlexaff
Keith W. Pratz, Panayiotis Panayiotidis, Christian Récher, Xudong Wei, Brian A. Jonas, Pau Montesinos, Vladimir Ivanov, Andre C. Schuh, Courtney D. DiNardo, Jan Novák, Vlatko Pejša, Don A. Stevens, Su‐Peng Yeh, Inho Kim, Mehmet Turgut, Nicola Fracchiolla, Kazuhito Yamamoto, Yishai Ofran, Andrew H. Wei, Cat N. Bui, Katy Benjamin, Rajesh Kamalakar, Jalaja Potluri, Wellington Mendes, Jacob Devine, Walter Fiedler

Notice bibliographique

RevueBlood · 2020
Typearticle
Langueen
DomaineMedicine
ThématiqueAcute Myeloid Leukemia Research
Établissements canadiensPrincess Margaret Cancer Centre
Organismes subventionnairesnon disponible
Mots-clésVenetoclaxAzacitidineCytarabineMyeloid leukemiaMedicineLeukemiaMyeloidOncologyInternal medicineClofarabineQuality of life (healthcare)BiologyDNA methylation

Résumé

récupéré en direct d'OpenAlex

Background : For patients (pts) with acute myeloid leukemia (AML), preserving and measuring perceptions of health-related quality of life (HRQoL) is important, particularly for those ineligible for intensive chemotherapy and with a poor prognosis, especially when evaluating new treatment regimens. This analysis from 2 Phase 3 trials, Viale-A (NCT02993523) and Viale-C (NCT03069352), evaluated HRQoL, including key symptoms and aspects of functioning, in pts with AML receiving venetoclax (VEN) co-administered with azacitidine (AZA) (Viale-A) or low-dose cytarabine (LDAC) (Viale-C). Methods: Viale-A and Viale-C included treatment-naïve pts with AML, ≥18 years of age, and ineligible to receive intensive chemotherapy. Pts were randomized 2:1 to receive VEN +AZA or placebo (PBO)+AZA in Viale-A, and VEN+ LDAC or PBO+LDAC in Viale-C. Pt-reported outcome (PRO) measures included the PROMIS Cancer Fatigue Short Form 7a, the EORTC QLQ-C30 global health status (GHS)/QoL and physical functioning [PF] subscales, and the EQ-5D-5L health status visual analog scale (VAS). PRO data were collected on Day 1 of every 28-day cycle throughout both trials. Time to deterioration (TTD) was assessed to quantify differences between treatment groups. TTD was defined as worsening from baseline in PRO-specific meaningful change thresholds of ≥10, 7, or 5 points for the EORTC-QLQ-C30, EQ-5D-5L VAS, and PROMIS Fatigue, respectively. TTD differences between treatment arms were analyzed using Kaplan-Meier curves, unadjusted log-rank tests, and Cox PH models adjusted for key covariates (age, baseline ECOG and PRO scores, AML type, and cytogenetic risk category). TTD analyses were conducted for all pts in the full dataset who survived up to a given assessment with available data on ≥1 PRO measures from baseline. Results: Viale-A included 431 pts (VEN+AZA: 286, PBO+AZA: 145), of whom 60% were male; median age was 76 years. Compared with PBO+AZA pts, VEN+AZA pts had a non-statistically significant trend to longer TTD in GHS/QoL (median in months [95% CI]: 16.5 [95% CI: 9.8, NE] vs. 9.3 [95% CI: 4.7, 16.6], P=0.066) and fatigue (9.3 [7.2, 16.6] vs. 8.6 [4.2, 16.6], P=0.189) (Figure 1A, B). VEN+AZA pts had significantly longer TTD in PF (9.7 [6.7, 16.0] vs. 6.2 [4.7, 9.5], P=0.028) and health status VAS (10.7 [7.5, 18.6] vs. 3.9 [2.4, 7.4], P<0.001) than did PBO+AZA pts (Figure 1C, D). Viale-C included 211 pts (VEN+LDAC: 143, PBO+LDAC: 68), of whom 55% were male; median age was 76 years. Compared with PBO+LDAC, VEN+LDAC pts had significantly longer TTD in GHS/QoL (11.3 [4.2, NE] vs. 2.6 [2.0, 9.3], P=0.011), fatigue (8.1 [5.8, NE] vs. 2.6 [2.1, 9.5], P=0.004), and PF (5.8 [3.1, NE] vs. 2.9 [2.0, 8.1], P=0.020), and a trend in health status VAS (4.9 [2.8, NE] vs. 2.5 [2.0, 9.5], P=0.057) (Figure 2A-D). Cox PH models demonstrated consistently longer TTD in all PRO measures for the VEN arms compared with PBO in both trials, with significant differences for all measures in Viale-C, and for PF and health status VAS in Viale-A (P≤0.01) (Table 1). Conclusions: Results showed a longer TTD in PRO measures of global health status, VAS, fatigue, and PF for pts receiving VEN combinations vs AZA or LDAC monotherapy, with significantly longer TTD observed for all PRO measures from the unadjusted and adjusted analyses in Viale-C, and for PF and health VAS in Viale-A. These results suggest that VEN conveys meaningful benefit in terms of HRQoL. Limitations included the small sample size beyond early cycles in these studies; however, the early separation of the TTD curves with the initial larger sample size, suggests that these results are not due to chance variability and are statistically valid. Overall the improvements in PROs with VEN are consistent with previous efficacy reports. In summary, VEN appears to have a positive impact on the HRQoL of pts with AML who are ineligible for intensive chemotherapy, leading to a longer preservation of functioning and overall health status. Disclosures Pratz: Millennium: Research Funding; Daiichi Sankyo: Research Funding; Agios: Other: Scientific Advisory Board, Research Funding; Celgene: Other: Scientific Advisory Board; Boston BioMedical: Consultancy; AbbVie: Other: Scientific Advisory Board, Research Funding; Astellas: Other: Scientific Advisory Board, Research Funding; Jazz Pharmaceutical: Consultancy. Panayiotidis:AbbVie: Honoraria, Research Funding; Novartis: Honoraria, Research Funding; Roche: Honoraria, Research Funding; Genesis: Honoraria, Research Funding; Takeda: Honoraria; Phizer: Honoraria; ASH: Honoraria; Janssen: Honoraria; Gilead: Honoraria. Jonas:AbbVie: Consultancy, Other: TRAVEL, ACCOMMODATIONS, EXPENSES (paid by any for-profit health care company), Research Funding; Tolero: Consultancy; Treadwell: Consultancy; Forty Seven: Research Funding; Daiichi Sankyo: Research Funding; Genentech/Roche: Research Funding; Amgen: Consultancy, Other: TRAVEL, ACCOMMODATIONS, EXPENSES (paid by any for-profit health care company), Research Funding; GlycoMimetics: Consultancy, Other: TRAVEL, ACCOMMODATIONS, EXPENSES (paid by any for-profit health care company), Research Funding; Accelerated Medical Diagnostics: Research Funding; AROG: Research Funding; LP Therapeutics: Research Funding; Forma: Research Funding; Pharmacyclics: Research Funding; Pfizer: Research Funding; Jazz: Consultancy, Research Funding; Sigma Tau: Research Funding; Celgene: Consultancy, Research Funding; F. Hoffmann-La Roche: Research Funding; Incyte: Research Funding; Hanmi: Research Funding; Takeda: Consultancy. Dinardo:Takeda: Honoraria; Celgene: Research Funding; Agios: Consultancy, Research Funding; AbbVie: Consultancy, Research Funding; Notable Labs: Membership on an entity's Board of Directors or advisory committees; Novartis: Consultancy; Daiichi Sankyo: Consultancy, Research Funding; Calithera: Research Funding; ImmuneOnc: Honoraria. Novak:Janssen: Other: Travel expenses; Novartis: Consultancy; Roche: Consultancy; Pfizer: Consultancy; Amgen: Consultancy, Other: Travel expenses; Takeda: Consultancy. Pejsa:Oktal Pharma: Honoraria, Membership on an entity's Board of Directors or advisory committees; Sandoz: Honoraria, Membership on an entity's Board of Directors or advisory committees; Alvogen: Honoraria, Membership on an entity's Board of Directors or advisory committees; Pliva: Honoraria, Membership on an entity's Board of Directors or advisory committees; Roche: Honoraria, Membership on an entity's Board of Directors or advisory committees; Amgen: Honoraria, Membership on an entity's Board of Directors or advisory committees; Takeda: Honoraria, Membership on an entity's Board of Directors or advisory committees; Janssen: Honoraria, Membership on an entity's Board of Directors or advisory committees; AbbVie: Honoraria, Membership on an entity's Board of Directors or advisory committees. Stevens:Amgen, MorphoSys: Consultancy. Yeh:Amgen: Membership on an entity's Board of Directors or advisory committees; AbbVie: Membership on an entity's Board of Directors or advisory committees; Janssen: Membership on an entity's Board of Directors or advisory committees; Astellas: Membership on an entity's Board of Directors or advisory committees; Astex: Membership on an entity's Board of Directors or advisory committees. Kim:AbbVie: Other: Clinical trials investigator. Fracchiolla:Amgen: Honoraria, Membership on an entity's Board of Directors or advisory committees, Other: TRAVEL, ACCOMMODATIONS, EXPENSES (paid by any for-profit health care company), Speakers Bureau; Pfizer: Honoraria, Membership on an entity's Board of Directors or advisory committees, Other: TRAVEL, ACCOMMODATIONS, EXPENSES (paid by any for-profit health care company), Speakers Bureau; Gilead: Honoraria, Membership on an entity's Board of Directors or advisory committees, Other: TRAVEL, ACCOMMODATIONS, EXPENSES (paid by any for-profit health care company), Speakers Bureau; AbbVie: Honoraria, Membership on an entity's Board of Directors or advisory committees, Other: TRAVEL, ACCOMMODATIONS, EXPENSES (paid by any for-profit health care company). Yamamoto:Takeda: Consultancy, Honoraria, Research Funding; Yakult: Research Funding; Zenyaku: Research Funding; SymBio: Research Funding; Solasia Pharma: Research Funding; Aichi Cancer Center: Current Employment; AbbVie: Consultancy, Honoraria, Research Funding; Astra-Zeneca: Consultancy, Research Funding; Bayer: Research Funding; Bristol-Myers Squibb: Honoraria; Celgene: Consultancy, Honoraria, Research Funding; Chugai: Consultancy, Honoraria, Research Funding; Eisai: Consultancy, Honoraria, Research Funding; Daiichi Sankyo: Consultancy; IQIVA/HUYA: Honoraria; HUYA: Consultancy; IQIVA/Incyte: Research Funding; Gilead Sciences: Research Funding; Janssen: Honoraria; Kyowa Kirin: Honoraria; Meiji Seika Pharma: Consultancy, Honoraria; Mochida: Honoraria; MSD: Consultancy, Honoraria, Research Funding; Mundipharma: Consultancy, Honoraria, Research Funding; Nippon Shinyaku: Honoraria, Research Funding; Novartis: Honoraria, Research Funding; Ono: Consultancy, Honoraria, Research Funding; Otsuka: Consultancy, Honoraria, Research Funding; Pfizer: Honoraria; Sanofi: Honoraria; Sumitomo Dainippon: Honoraria; Stemline Therapeutics: Consultancy. Ofran:AbbVie: Membership on an entity's Board of Directors or advisory committees. Wei:Astra Zeneca: Honoraria, Research Funding; Walter and Eliza Hall Institute of Medical Research: Patents & Royalties: AW is eligible for royalty payments related to venetoclax; Novartis: Honoraria, Research Funding, Speakers Bureau; Amgen: Honoraria, Research Funding; Macrogenics: Honoraria; Roche: Honoraria; Servier: Consultancy, Honoraria, Research Funding; Pfizer: Honoraria; Janssen: Honoraria; Abbvie

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)0,001
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: Observationnel
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,001
Score d'incertitude au seuil0,004

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0010,001
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0000,000
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)0,0010,000

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 Opus0,029
Tête enseignante GPT0,273
Écart entre enseignants0,244 · 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

Citations2
Publié2020
Routes d'admission1
Résumé présentoui

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