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Enregistrement W3209852691 · doi:10.14338/ijpt-21-00012.1

Evaluating Disparities in Proton Radiation Therapy Use in AHOD1331, a Contemporary Children's Oncology Group Trial for Advanced-Stage Hodgkin Lymphoma

2021· article· en· W3209852691 sur OpenAlexaff

Notice bibliographique

RevueInternational Journal of Particle Therapy · 2021
Typearticle
Langueen
DomaineMedicine
ThématiqueLymphoma Diagnosis and Treatment
Établissements canadiensCentre Hospitalier de l’Université de MontréalPrincess Margaret Cancer CentreUniversity of Toronto
Organismes subventionnairesNational Cancer InstituteSt. Baldrick's Foundation
Mots-clésProton therapyRadiation therapyContext (archaeology)ReceiptHodgkin lymphomaRadiation oncologyLymphomaSystemic therapy

Résumé

récupéré en direct d'OpenAlex

To the Editor:The indications for proton radiation therapy carry the strongest evidence in pediatric cancers. In a recently published letter, Bitterman et al [1] reviewed factors associated with receipt of proton radiation therapy in patients enrolled in Children's Oncology Group (COG) solid tumor and CNS tumor trials. They demonstrated that Black children were less likely to receive this treatment than non-Hispanic white patients, a disparity that persisted when controlling for other demographic and clinical variables. We strongly commend them for their work, as addressing racism and infrastructural barriers to care requires its identification.Disparities and unequal access to radiation therapy reflect barriers and systemic biases of the health system. As radiation oncologists are highly specialized, it is rare for them to primarily diagnose cancers, particularly in the pediatric setting. Unequal access reflects those obstacles or biases acting on (1) the relationship between pediatric oncologist and radiation oncologist; (2) the recommendation of radiation oncologist; or (3) patient choice. Determining what factors and processes lead to disparities as evidenced previously are paramount in addressing them.The aforementioned analysis did not include lymphoma, as it focused on pediatric solid tumors. Furthermore, the authors characterized a cohort generally enrolled more than a decade ago. Proton therapy represents a radiation modality with the potential to reduce dose to healthy tissues. Within the context of Hodgkin lymphoma, especially for patients with large mediastinal adenopathy (LMA), dose reduction is important for at-risk organs, including the lungs, heart, and breasts [2, 3]. We now share our analysis of factors associated with proton therapy receipt on a contemporary COG trial for Hodgkin lymphoma, AHOD 1331 [4]. The primary aim of the randomized clinical trial was to determine the efficacy of brentuximab vedotin in a pediatric chemotherapy regimen for de novo high-risk classical Hodgkin lymphoma. Radiation therapy was indicated for all patients with LMA or slow-responding lesions after 2 cycles of chemotherapy on either treatment arm. As the primary trial endpoint has not been reported, we focus the analysis on factors associated with receipt of proton radiation therapy for LMA in Hodgkin lymphoma.We conducted a univariate analysis by χ2 test to evaluate the association of receipt of proton radiation therapy with age (< or ≥12 years), sex, race, ethnicity, payment method as private versus nonprivate insurance, and neighborhood socioeconomic status (SES), based on a binary 5-digit zip code–derived census-tract definition of poverty level as low or non-low (< or ≥20%).Among 265 patients with LMA who received radiation therapy, 65 (25%) received proton therapy and 200 (75%) received photon radiation therapy. The results of the analyses are presented in Table 1.Among those receiving proton versus photon radiation therapy, 13.8% vs 12.0% were Black, 24.6% vs 19.5% were Hispanic, and 13.8% vs 10.0% were of low SES, respectively, with no difference in radiation therapy receipt by race, ethnicity, or SES detected. When payment method was evaluated, a significantly higher proportion of patients receiving proton radiation therapy were privately insured (67.7% with proton versus 50.5% with photon radiation therapy; P = .016).Disparities in Hodgkin lymphoma outcome faced by Black children are documented [5, 6]. Black children with Hodgkin lymphoma have been shown to have significantly worse overall survival than their white counterparts in a large national database, and in children enrolled in COG trials. In contrast to the finding of Bitterman et al [1] of racial disparities in receipt of proton therapy, our analysis in a more contemporary national study for a hematologic cancer did not demonstrate racial or ethnic disparity in proton therapy access for children enrolled in trial. Given the different periods under which enrollment was conducted, the fact that more proton therapy centers existed during accrual for AHOD 1331, which enrolled from 2015 to 2019, may partly account for our findings compared to the historical trials included by Bitterman et al [1]. As our initial analysis is limited to the group with LMA, it is possible that the examination of disparities may yield different results when the entire radiation cohort is considered. With greater sample size and availability to analyze all enrolled children after the primary endpoint is released, it will be important to conduct multivariable analyses to control for any confounding factors to better evaluate individual associations. Given the ability of proton delivery to dosimetrically spare healthy organs and with favorable cost-effectiveness for survivors of Hodgkin lymphoma [7], proton therapy's allocation and receipt merits continued monitoring to ensure equal access.The American Society of Clinical Oncology has called for continued prospective reevaluation of disparities in access to care and outcomes in order to eliminate inequalities that systemic and infrastructural racism may engender [8]. This is especially important with the advent of novel therapies like proton therapy with its goal of reducing second cancers and cardiotoxicity in survivors.Conflicts of Interest: Bradford S. Hoppe is an Associate Editor of the International Journal of Particle Therapy. Raymond B. Mailhot Vega reports educational travel grants from Varian and IBA outside the submitted work. The authors have no additional conflicts of interest to disclose.Acknowledgments: The authors would like to acknowledge the work of Qinglin Pei as statistician. Support for AHOD1331 came from the following grants: COG NCTN Operations Center Grant U10 CA180886, COG NCTN Statistics & Data Center Grant U10 CA180899, and St. Baldrick's Foundation.Ethical Approval: This editorial did not involve human subjects/participants and was exempt from IRB approval.

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 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 enseignants0,288
Score d'incertitude au seuil0,449

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0010,000
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0000,000
Études des sciences et des technologies0,0000,000
Communication savante0,0000,000
Science ouverte0,0000,000
Intégrité de la recherche0,0000,000
Charge utile insuffisante (le modèle a refusé de juger)0,0000,000

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 Opus0,130
Tête enseignante GPT0,433
Écart entre enseignants0,304 · 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.

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

Citations9
Publié2021
Routes d'admission1
Résumé présentoui

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