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Enregistrement W2943067820 · doi:10.1182/blood.v130.suppl_1.2780.2780

Bendamustine and Rituximab As Initial Therapy in Indolent Non-Hodgkin's Lymphoma and Mantle Cell Lymphoma in a Canadian Population; Highly Effective with Frequent Infections

2017· article· en· W2943067820 sur OpenAlexaffabout
Lin Yang, Roopesh Kansara, Pascal Lambert, Pam Skrabek

Notice bibliographique

RevueBlood · 2017
Typearticle
Langueen
DomaineMedicine
ThématiqueLymphoma Diagnosis and Treatment
Établissements canadiensCancerCare ManitobaUniversity of Manitoba
Organismes subventionnairesnon disponible
Mots-clésMedicineBendamustineRituximabMantle cell lymphomaInternal medicineFollicular lymphomaLymphomaPopulationMarginal zone B-cell lymphomaMacroglobulinemiaChronic lymphocytic leukemiaAggressive lymphomaOncologyLeukemiaImmunologyMultiple myelomaB cellAntibodyMarginal zone

Résumé

récupéré en direct d'OpenAlex

Indolent non-Hodgkin9s lymphoma (iNHL) and mantle cell lymphoma (MCL) represent a diverse group of treatable but incurable B-cell lymphoid malignancies. Since 2013, bendamustine and rituximab (BR) followed by maintenance rituximab (MR) became standard upfront therapy for patients with treatment naive iNHL and transplant ineligible MCL at CancerCare Manitoba, a tertiary referral center in the province of Manitoba, Canada. The aim of this retrospective study is to describe efficacy of BR, outside of a clinical trial, with a focus on toxicity. Manitoba provincial oncology drug program database was used to identify patients. Treatment naive iNHL and transplant-ineligible MCL patients treated with BR were included. Chronic lymphocytic leukemia, transformed and aggressive B-cell lymphoma patients were excluded. Patient and disease characteristics including response evaluation, dates of relapse, death and hematologic and non-hematologic toxicities were collected. Statistical analysis was completed using univariable Cox regression. A total of 187 patients were identified, diagnosed between 1994-2016 (median 2014). At diagnosis, the median age was 65 years (range 41-91); 36% (68/187) of patients were > 70 years old. Follicular lymphoma (FL) was the most common histology [63.4% (97/187); n=54 grade 1-2, n= 31 grade 3A, n=12 unknown grade] followed by 16% (30/187) marginal zone lymphoma, 13% (25/187) Waldenstrom macroglobulinemia, 12% (22/187) MCL, 2% (3/187) small lymphocytic lymphoma and 5% (10/187) low grade unclassifiable. Median FLIPI score was 2 (range 0-5) and median MIPI score was 5 (range 3-10). 83% (156/187) of patients had Ann Arbor stage III/IV, and 60% (107/178) had extra-nodal disease. Median follow-up from initiation of BR was 21 months (range 0-45). 81% (152/187) of patients completed six cycles of BR (range 1 to 6). Following treatment, 162 patients were evaluable for response; overall response rate (ORR) was 95% [52% (n=84) CR, 43% (n=69) PR]. Most (n=135) received at least one dose of MR (range 1-12). Of the 67 patients with post MR evaluations, the CR rate increased to 84% (n=56). During follow up, 10% (19/187) of patients relapsed, median time to relapse was 14 months (range 3-31). Of these, 7 had FL (n=5 grade 1-2, n=2 grade 3A). Death (all cause) occurred in 9% (17/187) of patients. Median PFS and OS have not been reached within the follow-up period. Infections (all grades) were reported in 62% (116/187) of patients with a total of 251 events. Infections were primarily respiratory (55%, 138/251), fever (7%, 17/251) and of the urinary tract (6%, 16/251). Febrile neutropenia events occurred in 3% (5/187) of patients. Non-infectious adverse events (all grades) were reported in 75% (140/187) of patients with a total of 217 events. Fatigue (25%, 54/217), infusion reaction (14%, 31/217), nausea (12%, 25/217) and diarrhea (7%, 16/217) were the most common. Rash was reported in 26% (48/217) of total events. Severe neutropenia occurred in 22% (41/187 patients) of which 5% (n=10) had grade 3 and 17% (n=31) had grade 4. This resulted in a 1-year cumulative incidence of severe neutropenia during BR therapy of 19.7%. Starting after BR completion, there was a 1-year cumulative incidence of neutropenia of 6.9% (Figure 1). Increasing age significantly correlated with risk of neutropenia [p=0.026, HR 1.46, 95% CI (1.05-2.03)]. The 1-year cumulative incidence of respiratory and non-respiratory infections during BR therapy was 35.7% and 39.7%, respectively. Our real world data of unselected patients (including FL, grade 3A) show that BR is associated with high ORR, similar to the published literature. For those evaluable for post-MR response, CR rate improved compared to post BR assessment. Grade 4 neutropenia was higher than previously reported with older age being a statistically significant risk factor for neutropenia. Risk of neutropenia and infection persisted beyond six months following BR but use of MR could have contributed. Our study show that BR followed by MR is effective for unselected patients with iNHL and transplant ineligible MCL. However, we found higher rates of adverse events than previously reported. Respiratory infection was particularly common and further investigation regarding etiology and benefit of immunizations in this patient population should be explored. Disclosures No relevant conflicts of interest to declare.

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)0,002
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 enseignants0,121
Score d'incertitude au seuil0,243

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0010,002
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0000,001
Études des sciences et des technologies0,0010,000
Communication savante0,0010,000
Science ouverte0,0010,000
Intégrité de la recherche0,0000,001
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 Opus0,007
Tête enseignante GPT0,257
Écart entre enseignants0,250 · 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

Citations0
Publié2017
Routes d'admission2
Résumé présentoui

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