Survival Outcomes for US and Canadian Patients Diagnosed with Hodgkin Lymphoma before and after Brentuximab Vedotin Approval for Relapsed/Refractory Disease: A Retrospective Cohort Study
Notice bibliographique
Résumé
Background: Insurance status impacts access and survival for cancer patients within mixed healthcare systems, such as the US (Walker et al., 2014). Universal healthcare, as in Canada, provides broad coverage, though new drug funding is delayed for financial evaluations given escalating costs of oncologic therapies. Brentuximab Vedotin (BV) was the first FDA approved medication (2011) for Hodgkin lymphoma (HL) since 1977, with a 75% response rate and median overall survival (OS) 40.5 months in patients relapsing post transplant, compared to OS 10.5 to 27.6 months with prior therapies (Chen et al., 2016). Approximately 20% of HL patients develop refractory/relapsed disease, and most proceed to transplant; a further 50% relapse however, thus effective therapy is critical. Given the cost ($232 320 CAD per course; pCODR, 2018), an extensive cost-efficacy analysis was completed in Canada prior to funding, leading to a 3 year delay compared to FDA approval and US funding. We therefore compared OS for US and Canadian patients diagnosed with HL pre/post FDA approval of BV for post-transplant relapse, hypothesizing that 1) survival differences within the US according to insurance would be present and widen after approval and 2) a survival gap would emerge between privately insured US vs. Canadian patients. Methods: A retrospective cohort study was performed of patients 16-64 years diagnosed with classical HL in 2007-2010 (period 1) or 2011-2014 (period 2) from the US SEER and Canadian Cancer Registry (CCR), with vital status updated to November 2016 and December 31, 2014 respectively. A surrogate date for access (FDA approval) was used as neither dataset captures chemotherapy. Exclusion criteria included missing histology, follow-up or insurance data, or post-mortem diagnosis. Log-rank test and Kaplan-Meier analysis compared OS (primary outcome) between groups: in period 2 vs. 1 by US insurance status (aim 1) and including a Canadian/universal category (aim 2). Analysis was performed within each dataset to allow for maximal adjustment utilizing Cox proportional hazards by covariates (age, gender, insurance status, stage, lymphoma subtype, race, ethnicity, marital status within SEER; age, gender, subtype within CCR), then merged using common variables. Secondary outcomes examined 36-month OS (longest calculable given censoring dates) to compare the direction and degree of change in survival between time periods. Results: 12,003 US and 4,210 Canadian patients were included. Demographics were similar, though follow up was shorter for the latter due to censoring date. US patients demonstrated improved survival (crude HR=0.90 (95%CI 0.80-1.02), adjusted HR=0.80 (95%CI 0.71-0.91)), between periods. Canadian patients had a similar reduced risk of death between periods, though this became statistically insignificant after adjustment (crude HR=0.72 (95%CI 0.54-0.95), adjusted HR=0.77 (95%CI 0.59-1.02)). Comparing all patients by country (periods combined) demonstrated a non-significant increased crude risk of death in US vs. Canadian patients (HR 1.13, p=0.059, 95% CI 1.00-1.27). Stratifying US patients by insurance demonstrated stable OS for privately insured, significantly improved OS for Medicaid and non-significantly worse survival for uninsured patients, demonstrating divergence by time likely not solely due to BV access. No difference in OS improvement occurred between periods for privately insured vs. universal patients. In an adjusted model including time period, compared with universal there was increased risk for both uninsured (HR 1.80, p<0.0001, 95% CI 1.46-2.20) and Medicaid patients (HR 2.36, p<0.0001, 95% CI 2.02-2.76), and reduced risk in privately insured patients (HR 0.87, p=0.044, 95% CI 0.77-1.00). Unadjusted 36-month OS quantified divergence according to insurance, with a large (+7.4%) and small (+2.4%) improvement in Medicaid and universal patients respectively, no change in privately insured and worse survival (-4.1%) for uninsured patients. Conclusions: HL survival was worse for Medicaid/uninsured compared to privately/universally insured patients, however all had stable or improved survival in period 2 except uninsured patients. No difference in change between periods for privately or universally insured patients occurred due to delayed access, however robust datasets capturing chemotherapy and comorbidities are needed. Disclosures Davies: Novartis: Honoraria; TEVA: Honoraria.
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 | 0,001 | 0,002 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,001 |
| Bibliométrie | 0,002 | 0,004 |
| Études des sciences et des technologies | 0,003 | 0,001 |
| Communication savante | 0,001 | 0,001 |
| Science ouverte | 0,001 | 0,001 |
| Intégrité de la recherche | 0,001 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,003 | 0,001 |
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 ».