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Record W2916437498 · doi:10.1182/blood-2018-99-113103

Cost-Effectiveness and Cost-Utility Analysis of ABVD Versus Beacopp in the Treatment of Advanced-Stage Hodgkin Lymphoma

2018· article· en· W2916437498 on OpenAlexaffabout
Abi Vijenthira, Kelvin Chan, Matthew C. Cheung, Anca Prica

Bibliographic record

VenueBlood · 2018
Typearticle
Languageen
FieldMedicine
TopicLymphoma Diagnosis and Treatment
Canadian institutionsPrincess Margaret Cancer CentreInstitute for Clinical Evaluative SciencesCanadian Centre for Applied Research in Cancer ControlHealth Sciences CentreCancer Care OntarioSunnybrook Health Science CentreUniversity of Toronto
Fundersnot available
KeywordsABVDMedicineDacarbazineProcarbazineHodgkin's lymphomaQuality-adjusted life yearOncologyCost effectivenessVincristineInternal medicineLymphomaChemotherapyCyclophosphamide

Abstract

fetched live from OpenAlex

Abstract Background: Treatment options for advanced-stage Hodgkin lymphoma include ABVD (doxorubicin, bleomycin, vinblastine, dacarbazine) or combinations of BEACOPPbaseline and BEACOPPescalated (bleomycin, etoposide, doxorubicin, cyclophosphamide, vincristine, procarbazine, prednisone, hereinafter referred to as BEACOPP). There remains clinical equipoise over the best initial treatment strategy, as both strategies have similar 10-year overall survival in long-term clinical trial follow-up. There is a trade-off that occurs with inferior progression-free survival in the ABVD strategy, but higher rates of hematologic toxicity, infertility, and second malignancy in the BEACOPP strategy. The overall lifetime cost of each strategy is also unknown. Methods: We developed a Markov decision-analytic model to compare ABVD versus BEACOPP for a hypothetical cohort of transplant-eligible patients with newly-diagnosed advanced-stage Hodgkin lymphoma. The model simulates their clinical course over a 20-year time horizon. Baseline probability estimates and utilities were derived from a systematic review of published studies. Direct medical costs were obtained from publicly available administrative databases or from the literature and applied to the health states. All costs and benefits were discounted by 1.5%. A Canadian public health payer's perspective was considered and costs are presented in 2018 Canadian dollars (Table 1). Sensitivity analyses were performed for key variables. Results: Based on a 20-year model, life expectancy was 12.6 years with ABVD and 13.6 years with BEACOPP, yielding an expected survival benefit with BEACOPP of 1.0 years. The quality-adjusted life expectancy (QALY) was 10.4 years with ABVD and 11.4 years with BEACOPP, leading to an expected quality-adjusted survival benefit with BEACOPP of 1.0 QALYs. The direct costs were $98,081 for ABVD and $81,296 for BEACOPP, making BEACOPP the cost-saving strategy with a net benefit of $16,785. In the base-case analysis, BEACOPP was associated with both cost-savings and improved quality-adjusted outcomes over ABVD, making it the dominant treatment strategy. Sensitivity analyses demonstrated that the model was robust to key variables including probability of death from secondary malignancy, probability of relapse post-primary and salvage therapy, and probability of infertility secondary to BEACOPP. In sensitivity analysis of treatment-related mortality secondary to BEACOPP, the threshold value was found to be 6.5% mortality over the 6-month treatment period, a value much greater than that reported in the literature. The threshold utility of infertility was found to be 0.72 for ABVD to have a greater QALY than BEACOPP, a value lower than the utility derived from a systemic review of the literature (0.87). We assumed all infertile patients underwent a cycle of fertility preservation or IVF, which is a conservative approach, and likely overestimates BEACOPP costs. In sensitivity analysis of costs, the BEACOPP strategy was non-dominant if the cost of three months of brentuximab was decreased to $19,360 (compared to its current price of $59,110 per three months), or if the cost of fertility preservation was greater than $37,615 per patient, which is higher than the average amount for this treatment in Canada. In these scenarios, BEACOPP was still more effective, but more expensive; however, the maximum ICER was still less than $10,000 per QALY for both costs, considerably lower than conventional willingness to pay (WTP) thresholds of $50,000. Probabilistic sensitivity analyses (10,000 simulations) were performed. For the WTP threshold of $50,000, BEACOPP was the dominant strategy 72% of the time, and overall the most cost-effective strategy 87.5% of the time (Figure 2). Conclusions: The preferred treatment strategy for patients with newly diagnosed advanced-stage Hodgkin lymphoma is a BEACOPP regimen. This strategy maximizes life expectancy, quality-adjusted life years, and is the most cost-effective strategy, accounting for increased rates of hematologic toxicity, secondary malignancy, and infertility in patients receiving the BEACOPP strategy. The model was robust to sensitivity analyses of key variables tested through plausible ranges obtained from the published literature. Disclosures No relevant conflicts of interest to declare.

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)0.010
metaresearch head score (Gemma)0.031
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.063
Threshold uncertainty score0.125

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0100.031
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.005
Bibliometrics0.0020.002
Science and technology studies0.0000.001
Scholarly communication0.0020.001
Open science0.0020.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0040.000

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 head0.049
GPT teacher head0.346
Teacher spread0.296 · 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
Published2018
Admission routes2
Has abstractyes

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