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Enregistrement W7108463524 · doi:10.1182/blood-2025-4507

The impact of marginalization on outcomes in patients with Hodgkin lymphoma

2025· article· en· W7108463524 sur OpenAlexaffabout

Notice bibliographique

RevueBlood · 2025
Typearticle
Langueen
DomaineMedicine
ThématiqueLymphoma Diagnosis and Treatment
Établissements canadiensPrincess Margaret Cancer CentreSunnybrook Health Science CentreInstitute for Clinical Evaluative SciencesOakville-Trafalgar Memorial HospitalUniversity of Toronto
Organismes subventionnairesnon disponible
Mots-clésSocioeconomic statusHodgkin lymphomaCensusImmigrationRetrospective cohort studyProportional hazards modelHealth carePopulationEthnic group

Résumé

récupéré en direct d'OpenAlex

Abstract Background Hodgkin lymphoma (HL) has become one of the most curable hematologic malignancies with survival rates exceeding 85%. Despite improved outcomes, there remain certain populations that have a significantly worse survival, including those from a lower socioeconomic status, with limited Canadian data in this cancer population. In a publicly funded healthcare setting with universal access, understanding how marginalization impacts survival for HL patients is crucial. Methods We performed a retrospective population-based study of adult patients (≥18 years) diagnosed with HL from 2006 until 2022 using administrative healthcare databases from Ontario, Canada. The Ontario Marginalization Index (ON-Marg) uses unique census variables to score four dimensions of neighborhood-level marginalization: Households and Dwellings (types and density of residential accommodations), Material Resources (related closely to financial status), Age and Labour force (indicators for population not actively working), and Racialized and Newcomer Populations (recent immigrants or visible minority groups). Quintiles divide the population from least (1st quintile) to most (5th quintile) marginalized. The primary outcome of this study was 2-year overall survival (OS) from date of diagnosis, based on ON-Marg quintiles. A secondary outcome of this study was the rate of health resource utilization (HRU: defined as an emergency department (ED) visit or hospitalization) based on ON-Marg quintiles. Cox regression analyses were used to identify demographic features associated with OS and HRU. Results A total of 4,733 patients (median age 39 years; 54% male) were diagnosed with HL in Ontario during the study period (ABVD treated: 3,907 (83%), escBEACOPP: 107 (2%), Other/None: 719 (15%)). Within the follow-up period, 18.6% of patients (n=880) died. Patients in the most marginalized Material Resources Q5 had significantly worse 2-year OS (HR 1.54, 95% CI 1.16-2.04, p=0.003) on multivariable analysis than those in Q1, while other domains showed no significant effect. The OS analysis for the entire cohort demonstrated that those in the most marginalized Racialized Newcomer Population domain had improved OS compared to those in Q1 (HR 0.78, 95% CI 0.63-0.96, p=0.023). In the first 2-years post-diagnosis, 71.3% (n=3375) of all patients presented to the ED, with a median of 2 visits per person. Within the ABVD treated cohort, 45.3% (n=1,765) of patients presented to ER within the first 6 months from diagnosis, and 27.5% (n=1,071) had at least one hospitalization. Of ABVD patients with HRU within the first 6 months from diagnosis, 28.92% (n=643) of visits were for an infectious complication. There was a significant increase in health services utilization within 2 years of follow-up for patients in Q5 of the Households and Dwellings (Rate Ratio (RR) 1.15, 95% CI 1.08-1.22, p<0.001), Material Resources (RR 1.27, 95% CI 1.20-1.35, p<0.001), and Age and Labour force (RR 1.15, CI 1.09-1.22, p<0.001) domains. Patients in Q5 of the Racialized Newcomer Population domain, had a significant decrease in healthcare services utilization (RR =0.78, 95% CI 0.74-0.83, p<0.001). Conclusion Our study demonstrates that patients with HL who are most marginalized from a material resources perspective (indicating financial stress) have a lower 2 yr OS. This domain is closely related to socioeconomic status and is in keeping with previous data showing that patients with lower neighbourhood SES had worse OS. Despite a universal healthcare system, there are still disparities in survival for patients from a lower SES. Our study also suggests that patients most marginalized in several domains have higher healthcare utilization with respect to ED and hospitalization rates during treatment and in early follow-up. In contrast, racialized newcomer populations had lower healthcare utilization and improved overall survival which may reflect the healthy immigrant effect, whereby immigrant patients are healthier than their Canadian-born counterparts. Cultural factors may also have a protective role. Finally, we uniquely demonstrated the unexpectedly high health care resource use (ED and hospitalizations) during ABVD chemotherapy. These novel findings highlight the complex relationship between social determinants of health and outcomes in HL and emphasize the need for care strategies to better support marginalized HL populations, particularly during treatment.

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)0,003
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 enseignants0,203
Score d'incertitude au seuil0,404

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0010,003
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0010,001
Études des sciences et des technologies0,0010,001
Communication savante0,0010,000
Science ouverte0,0000,001
Intégrité de la recherche0,0000,000
Charge utile insuffisante (le modèle a refusé de juger)0,0020,000

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 Opus0,005
Tête enseignante GPT0,260
Écart entre enseignants0,255 · 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
Publié2025
Routes d'admission2
Résumé présentoui

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