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Enregistrement W4389231842 · doi:10.1182/blood-2023-185351

Assessing the Impact of Marginalization on Survival for Patients Undergoing Allogeneic Stem Cell Transplant in Ontario, Canada

2023· article· en· W4389231842 sur OpenAlexaffabout
Adam Suleman, Sho Podolsky, Ning Liu, Kelvin Chan, Sumedha Arya, Lisa K. Hicks, Matthew C. Cheung, Anca Prica

Notice bibliographique

RevueBlood · 2023
Typearticle
Langueen
DomaineMedicine
ThématiqueAcute Lymphoblastic Leukemia research
Établissements canadiensPrincess Margaret Cancer CentreSt. Michael's HospitalCanadian Blood ServicesHealth Sciences CentreSunnybrook Health Science CentreInstitute for Clinical Evaluative SciencesUniversity of Toronto
Organismes subventionnairesnon disponible
Mots-clésContext (archaeology)MedicinePopulationEthnic groupPsychological interventionDemographyGerontologyTransplantationImmigrationInternal medicineEnvironmental healthGeographyPolitical scienceSociology

Résumé

récupéré en direct d'OpenAlex

Background Allogeneic hematopoietic stem cell transplants (allo-SCT) are potentially life-saving interventions used to treat hematologic disorders. Recent studies have shown that living in rural areas may predict worse outcomes after allo-SCT. Marginalization, a term that encompasses social and health-related factors affecting individuals, is predictive of adverse health outcomes. The Ontario Marginalization Index (ON-Marg), an administrative index using variables obtained from census data, was used to identify marginalization status (quintile 1-least marginalized; quintile 5-most marginalized) encompassing four domains: residential instability (area-level concentrations of people who experience high rates of family or housing instability), material deprivation (area-level concentrations of inability for individuals and communities to access and attain basic material needs), dependency (area-level concentrations of people who do not have income from employment), and ethnic concentration (area-level concentrations of people who are recent immigrants and/or a visible minority). In a publicly-funded healthcare context, it is important to know how marginalization impacts survival for patients undergoing allo-SCT. Methods We performed a retrospective population-based study using administrative healthcare databases from Ontario, Canada. Patients were included if they were 18 years or older at the time of allo-SCT, and had undergone allo-SCT for acute myeloid leukemia (AML), myelodysplastic syndrome (MDS) or acute lymphoblastic leukemia (ALL) between 2010 and 2022. Patients were excluded if they were a non-Ontario resident at the time of allo-SCT and as a result lacked ON-Marg data. Patients who received allo-SCT for a different indication were excluded. The primary outcome of this study was 2-year overall survival (OS) from time of transplant to death or end of the study period, based on ON-Marg quintiles. Multivariable Cox regression analysis was used to identify baseline characteristics associated with OS, with ON-Marg as the main exposure. Results A total of 1961 patients underwent allo-SCT for AML/MDS/ALL. The median age of patients undergoing allo-SCT was 55 years (IQR 43-63), and 55% of patients were male. 40% of patients had high aggregated diagnosis group (ADG) comorbidity burden, and a majority of patients (64%) lived within 50 kilometers (km) from the transplant center, with a mean distance of 33 km in the entire study population. The distribution of patients across each quintile of marginalization was not always uniform. For ethnic concentration, 24% of patients were in quintile 5, with 17% of patients in quintile 1. For dependency, 19% of patients were in quintile 5, and 25% of patients were in quintile 1. During the follow-up period, 43% of patients (n = 842) died. 2-year OS was not significantly different across all quintiles of the ethnic concentration domain of marginalization ( Figure 1A). 2-year OS was worse (HR 1.27, 95% CI 1.02-1.57) for patients in quintile 4 compared to quintile 1 of the dependency domain of marginalization ( Figure 1B). This effect persisted in multivariable logistic regression analyses accounting for other demographic variables ( Table 1). Increased age and a higher comorbidity index were significantly associated with worse survival across all domains. Patients with ALL had worse outcomes compared to patients with AML/MDS across all domains of marginalization. There was also a trend toward patients living >200 km from the transplant center having an increased risk of death compared to patients living less than 50 km from the center (HR 1.24, 95% CI 1.00-1.54). Conclusion This study shows that 2-year OS after allo-SCT for AML/MDS/ALL was not affected by marginalization quintile of ethnic concentration. This is in keeping with other published data suggesting that outcomes after allo-SCT are not impacted by socioeconomic factors such as race. Patients in quintile 4 of dependency had worse outcomes than patients in quintile 1, suggesting that employment and income support are crucial to successful patient outcomes. A majority of patients who underwent allo-SCT lived in close proximity to the transplant center. Transplant outcomes in general do not appear to vary based on marginalization status, and it is therefore crucial that all patients who may benefit receive allo-SCT regardless of demographics or distance to treatment centers.

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 enseignants0,033
Score d'incertitude au seuil0,237

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0010,002
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,001
Bibliométrie0,0010,003
Études des sciences et des technologies0,0020,001
Communication savante0,0010,000
Science ouverte0,0010,001
Intégrité de la recherche0,0000,001
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 Opus0,028
Tête enseignante GPT0,294
Écart entre enseignants0,265 · 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

Citations2
Publié2023
Routes d'admission2
Résumé présentoui

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