Subsequent Primary Malignancies in Patients with Indolent B Cell Non-Hodgkin Lymphoma Receiving Frontline Bendamustine Rituximab Therapy
Notice bibliographique
Résumé
Introduction: Bendamustine is used in combination with rituximab (BR) for frontline treatment of indolent non-Hodgkin lymphoma (iNHL). BR was publicly funded in Ontario, Canada in 2013. Though patients often experience prolonged treatment free survival after therapy, patient burden can result from infections and toxicities including subsequent primary malignancy (SPM). Reported cumulative incidence of SPM ranges from 3-18% over 3-9 years, usually in mixed cohorts receiving BR frontline or at relapse, with an unclear dose dependent association. The impact of covariates on SPM development and effects on survival in this setting are unknown. We examined the relationship between frontline BR treatment and the development of SPM among iNHL patients in Ontario. Methods: We conducted a population-based retrospective cohort study using linked healthcare databases in Ontario, Canada including all provincial residents ≥18 years diagnosed with iNHL (excluding CLL/SLL and hairy cell leukemia) who received BR as first systemic therapy from Jan 1, 2013 to Dec 31, 2022. Patients receiving ≥7 cycles were excluded. Follow up occurred from first bendamustine dose until the earliest of end of observation (Dec 31, 2023), death or loss of provincial coverage. Baseline variables including age, sex, rurality, marginalization (quintiles), comorbidity burden measured by Aggregated Diagnosis Groups (ADG), and lymphoma subtype were collected, along with treatment data including timing of initiation post diagnosis, number of cycles, maintenance (RM) usage and subsequent therapies. Primary outcome was time to a SPM, identified with ICD codes and excluding cases of diffuse large B cell lymphoma and iNHL. Cumulative incidence of developing SPM was estimated using cumulative incidence function accounting for the competing risk of death prior to SPM for the entire cohort and in patients receiving 1-4 vs. 5-6 cycles. Cause-specific hazard models examined the association between baseline characteristics and SPM, considering the competing event of death and adjusting for covariates. Cumulative incidence of all-cause death was estimated using the Kaplan Meier method. A Cox regression model examined the association between baseline characteristics and all-cause death with SPM modeled as a time-varying covariate. Results: 6284 patients were identified; mean age 66.9 years and 43.7% female. 14.4% lived rurally, 23.6% in the most marginalized quintile and 36.3% had a high ADG score. Median time from iNHL diagnosis to treatment was 4 months(Q1-3 2-34). Common histologies included follicular (51.0%), marginal zone (13.0%) and mantle cell lymphoma (10.6%). 17.8% developed an alternate cancer after iNHL diagnosis but prior to BR. Most received 5-6 cycles (83.7%) of BR. Overall, 69.5% received RM with a difference between patients receiving 1-4 vs. 5-6 cycles(25.2% vs. 78.1%, p<0.0001). Subsequent usage of radiation, autologous and allogeneic stem cell transplant did not differ by group. Median follow up was 4 years after initiating therapy. The cumulative incidence of developing SPM during follow up was 14.6%(95%CI 13.3-16.1). Median time to diagnosis was 2.36 years(Q1-3 0.98-4.32). Most commonly these were cancers of the respiratory tract and thorax (17.4% of SPM), digestive system (16.7%) and hematopoietic neoplasms (12.4%). 31.8% patients died during follow up. The probability of SPM at 5 years was 9.5%(95%CI 8.6-10.4%) for 5-6 vs. 7.5%(95%CI 5.9-9.4%) for 1-4 cycles(p=0.05). Male sex, age, marginalization, ADG category and lymphoma subtype were associated with development of SPM. Conversely, the probability of death prior to a SPM was much higher for those with truncated therapy with a 5 year cumulative incidence of 20.3%(95%CI 19.1-21.5%) for 5-6 vs. 56.2%(95%CI 52.8-59.4%) for 1-4 cycles. The majority of deaths within the latter group occurred within the first year of therapy (35.4%). Sex, age, marginalization, ADG category and subtype were also associated with risk of death. Cumulative incidence of death during follow up was 47.9%. Conclusions: Patients with iNHL had a 9.2% risk of developing SPM 5 years after frontline BR. Examination by cycle number suggests dose dependency; consideration could be given to trials examining risk adapted protocols especially given effective salvage therapies. Next steps include review of hematopoietic SPM histology and evaluating the impact of subsequent therapies on SPM.
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 enseignantsNi 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.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,000 | 0,001 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,001 | 0,002 |
| Études des sciences et des technologies | 0,001 | 0,000 |
| Communication savante | 0,001 | 0,000 |
| Science ouverte | 0,001 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,002 | 0,000 |
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.
score_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 découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».