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Enregistrement W2901763385 · doi:10.1182/blood-2018-99-110871

Treatment Patterns and Healthcare Resource Utilization (HRU) in Patients with Relapsed/Refractory (R/R) FLT3-Mutated (FLT3mut) and FLT3-Wild Type (FLT3wt) Acute Myeloid Leukemia (AML): A Multi-Country Medical Chart Study

2018· article· en· W2901763385 sur OpenAlexaboutno aff
James D. Griffin, Manasee V. Shah, Yan Song, Hongbo Yang

Notice bibliographique

RevueBlood · 2018
Typearticle
Langueen
DomaineMedicine
ThématiqueAcute Myeloid Leukemia Research
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésMedicineCEBPAInternal medicineClofarabineChemotherapy regimenHematopoietic stem cell transplantationTransplantationOncologyNPM1Myeloid leukemiaPediatricsCytarabineChemotherapyMutationBiology

Résumé

récupéré en direct d'OpenAlex

Abstract Background: Salvage therapy for patients with R/R AML has long relied on chemotherapy as a bridge to hematopoietic stem cell transplantation (HSCT). With the advent of treatments targeted to biomarkers, such as fms-like tyrosine kinase 3 (FLT3), there is a need to understand current treatment patterns and HRU. This multi-country study utilized real-world evidence (RWE) collected from medical charts to evaluate treatment patterns and HRU among patients with R/R AML by FLT3 mutation status. Methods: Hematologists/oncologists were recruited from 10 countries (US, Canada, UK, France, Germany, Italy, Spain, Netherlands, Japan, and South Korea). Patients with AML who were classified as relapsed or refractory to initial treatment between January 1, 2013 and December 31, 2015 were eligible for inclusion. Eligible patients with R/R AML were randomly selected by physicians and were categorized into one of two cohorts: FLT3mut or FLT3wt patients. Stratified recruitment was used to ensure that an equal ratio of FLT3mut and FLT3wt patients were enrolled. The index dates were defined as the dates of R/R classification and data collection until the date of last follow-up or death. Results: The study included both FLT3mut (n=181) and FLT3wt (n=182) patients. Of the FLT3mut patients, 53.6% (n=97) had only an internal tandem duplication (ITD) mutation, 15.5% (n=28) had both ITD and tyrosine kinase domain (TKD) mutations, and 30.9% (n=56) only had a TKD mutation. Other mutations (eg, NPM1, IDH1/2, CEBPA, KIT, AXL) were seen in both cohorts; all other mutations were more common in FLT3mut patients. Compared with FLT3wt patients, FLT3mut patients were significantly younger at the event date (53.2 ± 15.2 vs 56.8 ± 14.6, P<.05) and more had an Eastern Cooperative Oncology Group score ≥2 (36.9% vs 33.0%; P<.01). FLT3mut patients were also more likely to have dysplasia-related AML (22.8% vs 12.6%; P<.01) and genetic abnormalities (38.9% vs 16.1%; P<.01) than FLT3wt patients. Despite treatment guidelines, which recommend specific chemotherapy-based regimens according to patient age and health status, nearly one-third of patients with R/R AML received only best supportive care (BSC) after being classified as R/R AML; more FLT3mut patients received BSC (39.8%) than FLT3wt patients (24.7%). While few patients received a FLT3 inhibitor (eg, midostaurin), this is most likely due to limited availability outside of a clinical trial. Overall, 20.8% of patients with R/R AML received some type of transplant; the rate of HSCT was similar between cohorts. Patients with R/R AML were high utilizers of healthcare resources. In the post-event period, patients averaged 0.52 hospital visits per month with a mean length of stay (LOS) of 16.6 days/visit and a mean LOS of 6.8 days/month; there was no significant difference between FLT3mut and FLT3wt cohorts. The mean number of pre-event intensive care unit (ICU) visits was 0.03 ± 0.15 with a mean LOS/visit of 10.8 ± 9.6. In the post-event period, the mean number of ICU visits was 0.16 ± 1.3 with a mean LOS of 7.5 ± 6.5 days/visit. In total, 30.1% of all patients with R/R AML had hospice care in the post-event period; the mean number of days in hospice was 4.1 ± 8.7 days (4.5 ± 9.7 days [FLT3mut] vs 3.8 ± 7.7 [FLT3wt]). In some instances in the pre-event period, patients with FLT3mut were higher users of healthcare resources. Compared with FLT3wt, patients with FLT3mut had a longer hospital LOS/visit (29.6 days vs 21.8 days; P<.05) and had significantly higher utilization of all types of outpatient visits, including: total outpatient, hematologist, nurse, and general practitioner (all P<.001). Conclusions: Utilizing RWE, these data reveal that patients with FLT3mut AML are diagnosed at an earlier age and utilize more healthcare resources than patients with FLT3wt AML. Further, for patients with R/R AML, regardless of mutation status and despite the availability of effective therapies, the most common treatment was BSC - a divergence from accepted treatment guidelines. Additionally, the breadth of treatments being used suggests that there is no real standard of care for patients with R/R AML. The availability of targeted agents (ie, FLT3 inhibitors) may provide treatment options for patients. Disclosures Griffin: Novartis Pharma: Other: Grant, Patents & Royalties: Royalties ; Sun Pharmaceuticals: Consultancy; Lilly Pharmaceuticals: Other: Grant; Myeloproliferative Neoplasia Foundation: Other: Grant ; Analysis Group: Consultancy; RXi Pharmaceuticals: Consultancy; Astellas Pharma: Consultancy. Shah:Astellas Pharma: Employment. Song:Astellas Pharma: Consultancy. Yang:Astellas Pharma: Consultancy.

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)0,004
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 enseignants0,013
Score d'incertitude au seuil0,025

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0010,004
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,001
Bibliométrie0,0020,003
Études des sciences et des technologies0,0010,000
Communication savante0,0010,001
Science ouverte0,0010,001
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 Opus0,022
Tête enseignante GPT0,303
Écart entre enseignants0,281 · 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
Publié2018
Routes d'admission1
Résumé présentoui

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