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Record W3094818118 · doi:10.1182/blood-2020-136356

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

2020· article· en· W3094818118 on OpenAlexaffabout
Gwynivere A Davies, John Orav, Kristen D. Brantley

Bibliographic record

VenueBlood · 2020
Typearticle
Languageen
FieldMedicine
TopicLymphoma Diagnosis and Treatment
Canadian institutionsMcMaster UniversityJuravinski Cancer Centre
Fundersnot available
KeywordsMedicineBrentuximab vedotinInternal medicineRetrospective cohort studyCohortOncologyLymphomaHodgkin lymphoma

Abstract

fetched live from OpenAlex

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.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.201
Threshold uncertainty score0.404

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.004
Science and technology studies0.0030.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.001

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.008
GPT teacher head0.223
Teacher spread0.216 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations1
Published2020
Admission routes2
Has abstractyes

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