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Enregistrement W4403568979 · doi:10.1016/j.htct.2024.09.742

LUSPATERCEPT UTILIZATION PATTERNS IN LOWER-RISK MYELODYSPLASTIC SYNDROMES: FINDINGS FROM A MULTINATIONAL MEDICAL RECORD REVIEW STUDY

2024· article· en· W4403568979 sur OpenAlexaboutno aff
María Díez‐Campelo, Aylin Yücel, RK Goyal, Mrudula B. Glassberg, EM Cavalcante, Elizabeth Esterberg, Julien Rombi, Keith L. Davis, Dimana Miteva, Ulrich Germing

Notice bibliographique

RevueHematology Transfusion and Cell Therapy · 2024
Typearticle
Langueen
DomaineMedicine
ThématiqueAcute Myeloid Leukemia Research
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésMedicineMultinational corporationMyelodysplastic syndromesFamily medicineInternal medicineFinance

Résumé

récupéré en direct d'OpenAlex

Limited evidence exists from routine clinical practice on patient (pt) characteristics and treatment (tx) patterns in pts treated with luspatercept for lower-risk myelodysplastic syndromes (LR-MDS). This study aimed to describe the baseline demographic and clinical characteristics and patterns of therapy in pts with LR-MDS receiving tx with luspatercept in Canada, Germany, and Spain. This was a noninterventional, retrospective medical records review study. Pts aged ≥18 years, diagnosed with LR-MDS, and treated with luspatercept after its approval in the respective countries were identified for study inclusion by participating hematologists/hem-oncologists (data abstraction period: October–November 2023). Abstracted data on baseline pt characteristics (eg, demographics, comorbidities, genetic risk factors) and luspatercept tx patterns (eg, line of therapy, dosage, time to tx discontinuation) were analyzed descriptively. Findings reported here are based on interim data collected through November 2023 for Canada, Germany, and Spain. Data were abstracted by 47 participating physicians for a total of 114 eligible pts (56 Germany, 52 Spain, and 6 Canada). Median age was 71 years (range, 40–92), 59.6% of pts were male, and 92.1% were White. Revised International Prognostic Scoring System (IPSS-R) risk status was Very low or Low for nearly two-thirds (64.9% [among 111 pts with recorded data]) at LR-MDS diagnosis and for approximately half (53.8% [among 65 pts with recorded data]) at luspatercept initiation. Luspatercept use was most common in the second line (2L, 57.9%), followed by first line (1L, 33.3%), and third or later line (3L+, 8.8%). Among previously treated pts (n = 76), almost all received erythropoietin-stimulating agents (94.7%) before initiating luspatercept. Median follow-up duration was 21.5 months from LR-MDS diagnosis. Median time from LR-MDS diagnosis to luspatercept initiation was 10.7 months (median time to initiation in 1L was 0.9 months). Median dose at luspatercept initiation was 1 mg/kg per administration among those with known dosing data (n = 103), with a majority (91.3%) receiving a 3-weekly cycle. Approximately 17.5% (n = 20) received a dose increase. The median dose as of the last follow-up, reported for 17 pts with a dose increase, was 1.3 mg/kg per administration, cycled every 3 weeks. Median follow-up duration from luspatercept initiation was 8.9 months, and median duration of therapy over this period was 8.7 months. Overall, 14.9% (n = 17) discontinued therapy, and of those with known dosing information (n = 15), 40% had a dose escalation before discontinuation. This analysis of pts with LR-MDS receiving luspatercept in Canada, Germany, and Spain shows that one-third of pts received luspatercept in 1L, patients were followed for approximately 2 years (21.5 months) from LR-MDS diagnosis, and only 40% of pts who discontinued therapy had a dose escalation before discontinuation, suggesting that a better understanding of dose escalation may be needed. This study provides early insights into the prevailing patterns of luspatercept utilization in routine clinical practice in Canada, Germany, and Spain and is expected to inform ongoing and future evaluations of this tx option for pts with LR-MDS. The study was supported by Bristol Myers Squibb. This abstract was previously presented at the EHA Annual Congress (Díez Campelo M, et al. HemaSphere 2024;8[suppl 1]:P1909).

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)0,001
score de la tête « metaresearch » (Gemma)0,000
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesCharge utile insuffisante (le modèle a refusé de juger)
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 enseignants0,273
Score d'incertitude au seuil0,994

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0010,000
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0010,000
Bibliométrie0,0000,000
Études des sciences et des technologies0,0000,000
Communication savante0,0000,000
Science ouverte0,0000,000
Intégrité de la recherche0,0000,001
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 Opus0,034
Tête enseignante GPT0,332
Écart entre enseignants0,298 · 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.

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

Citations0
Publié2024
Routes d'admission1
Résumé présentoui

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