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Enregistrement W4405038834 · doi:10.1182/blood-2024-201022

ASC4REAL: Efficacy and Tolerability Comparison between Ascembl Study, a Phase 3 Randomized Clinical Trial (RCT), and Consolidated Real-World (RW) Evidence with Asciminib in CML Patients Beyond 2 TKIs

2024· article· en· W4405038834 sur OpenAlexaboutno aff
Anchit Khanna, Hannah Small, Dhamend Lutchman, Gabriel Marquez, Daisy Yang, Kejal Jadhav

Notice bibliographique

RevueBlood · 2024
Typearticle
Langueen
DomaineMedicine
ThématiqueChronic Myeloid Leukemia Treatments
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésRandomized controlled trialTolerabilityMedicineInternal medicineAdverse effect

Résumé

récupéré en direct d'OpenAlex

Introduction: Despite advancements in managing chronic myeloid leukemia (CML), there are limited effective treatment options available in later lines of therapy. With each successive line of treatment, the rates of treatment failure increase, and sequential tyrosine kinase inhibitor (TKI) therapy is linked to higher resistance. It is worth noting that most TKIs currently used in clinical practice target the ATP binding site, which may lead to off-target effects and long-term tolerability issues. ASCEMBL is a phase 3 randomized controlled trial (RCT) evaluating the efficacy of asciminib (ASC), a novel allosteric TKI that targets the myristoyl pocket, in CML patients who have received two prior TKIs. While there is emerging efficacy and safety data for ASC, the limited number of patients in individual ASC real-world (RW) studies hampers a robust comparison with larger phase 3 RCTs. The data presented here builds upon previous efforts to aggregate RW evidence from studies conducted in multiple countries (Italy, Spain, the Netherlands, Australia, Russia, the United Kingdom, and Canada). This analysis expands the dataset to include US RW evidence as well as additional patient accrual and longer follow-up times in several of the original studies to contextualize and generalize the results of the ASCEMBL study. Methods: A total of 10 RW studies were included in this analysis, with a total of 421 CML patients that received ASC after 2 or more prior TKIs. 9 of the RW studies were previously identified with a systematic literature search conducted in May 2023. In this previous search, data was extracted from published or publicly presented RW studies of patients that received ASC after 2 or more prior TKIs, and RW studies that had fewer than 10 patients were excluded. The 10th RW study (n=97), using US RW data, was presented following the previous search. Where updated data for the original 9 studies was published or publicly presented prior to July 2024, that updated data was used in this analysis. Data in the RW studies meeting the analysis criteria was generated during managed access programs or included from Flatiron Health's nationwide US electronic health record-derived de-identified database. The RW studies had a mean sample size of 42 patients, with a range of 20 to 97 patients. Key endpoints from the RW studies were compared to the ASCEMBL study (n=157), including major molecular response (MMR) rates, deep molecular response (DMR) rates, reason for ASC discontinuation, and adverse event occurrence. Data on patient MMR (n=393) and DMR (n=343) was available for a subset of the total RW patient population. DMR was operationalized as either MR4 (≤0.01% BCR::ABL1) or as MR4.5 (≤0.0032% BCR::ABL1) in the RW studies and as MR4 in the RCT. Results: The average age of CML patients was slightly higher in the RW studies (59 years) than in the RCT (52 years). Importantly, compared to the RCT, RW studies showed similar or higher efficacy based on MMR and DMR rates, achieved in shorter time. RW studies reported a mean of 52% of patients achieving MMR (range: 37-70%) at a median 13 months (range: ≤12-24 months), and RCT reported 38% of patients achieving MMR at 22 months. RW studies reported a mean of 32% of patients achieving DMR (range: 16-70%) at a median 13 months (range: ≤12-24 months), and RCT reported 17% of patients achieving DMR at 22 months. Rate of discontinuation of ASC was comparable or lower in the RW setting. For discontinuation due to intolerance, RW studies reported a mean of 9% (range: 0-16%), and RCT reported 8%. For discontinuation due to resistance, RW studies reported a mean of 12% (range: 6-23%), and RCT reported 24%. Similarly, some adverse events, specifically thrombocytopenia and arterial occlusive events, were less frequent in the RW settings, while some such as myalgia and muscle spasms were slightly higher in the RW setting when compared with the RCT. Conclusions: The aggregated RW evidence data across varied global contexts demonstrates asciminib is an effective and tolerable TKI for CML patients who have received two or more prior TKIs in the RW setting, supporting the results of the ASCEMBL RCT. Furthermore, the similarity of the RW results to the RCT results demonstrates the generalizability of the ASCEMBL RCT outcomes, indicating external validity despite the varying country and age contexts in the RW studies.

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)0,026
score de la tête « metaresearch » (Gemma)0,027
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 enseignants0,026
Score d'incertitude au seuil0,137

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0260,027
Méta-épidémiologie (sens strict)0,0010,001
Méta-épidémiologie (sens large)0,0020,007
Bibliométrie0,0010,002
Études des sciences et des technologies0,0010,001
Communication savante0,0020,002
Science ouverte0,0010,001
Intégrité de la recherche0,0020,003
Charge utile insuffisante (le modèle a refusé de juger)0,0180,001

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 Opus0,079
Tête enseignante GPT0,430
Écart entre enseignants0,351 · 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

Citations1
Publié2024
Routes d'admission1
Résumé présentoui

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