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Record W4388204778 · doi:10.1200/op.2023.19.11_suppl.9

Cost-effectiveness analysis of bevacizumab biosimilars for metastatic colorectal cancer: A comparative study using real-world data.

2023· article· en· W4388204778 on OpenAlexaffabout
Brandon Lu, Erind Dvorani, Lena Nguyen, Jaclyn Beca, Rebecca E. Mercer, Andrea Adamic, Caroline Muñoz, Jessica Arias, Scott Gavura, Kelvin Chan

Bibliographic record

VenueJCO Oncology Practice · 2023
Typearticle
Languageen
FieldImmunology and Microbiology
TopicBiosimilars and Bioanalytical Methods
Canadian institutionsPublic Health OntarioCanadian Centre for Applied Research in Cancer ControlHealth Sciences CentreSunnybrook Health Science Centre
Fundersnot available
KeywordsBiosimilarBevacizumabMedicinePopulationColorectal cancerOncologyInternal medicineCost effectivenessPropensity score matchingQuality-adjusted life yearCohortCancerEnvironmental healthChemotherapyRisk analysis (engineering)

Abstract

fetched live from OpenAlex

9 Background: MVASI (Amgen) and Zirabev (Pfizer) are two of the earliest bevacizumab biosimilars approved for the first-line treatment of metastatic colorectal cancer (mCRC). While the introduction of biosimilars present an opportunity to alleviate the financial toxicity owing to the escalating costs of novel biologics, biosimilars should be comparatively assessed against the reference biologic in a real-world setting to confirm that they are indeed cost-saving or cost-effective after implementation. In this study, we aimed to confirm and quantify the real-world cost-savings of MVASI and Zirabev relative to originator bevacizumab (Avastin) for patients with mCRC. Methods: We conducted a population-based, retrospective cohort study in Ontario, Canada, where originator and biosimilar bevacizumab are universally publicly funded. Capturing the entire population of Ontario, we assessed all mCRC patients who received originator bevacizumab between January 1, 2008, and August 11, 2019, or biosimilar bevacizumab between August 12, 2019, and March 31, 2021. Biosimilar cases and originator bevacizumab controls were matched 1:4 using propensity score methods to adjust for differences at baseline. We calculated 1-year total patient-level costs (in Canadian dollars) and effects (in life years and quality-adjusted life years (QALY)) from the public health payer’s perspective. The primary outcomes for estimating cost-effectiveness were incremental net monetary benefit (INMB) and incremental net health benefit (INHB), calculated at willingness-to-pay (WTP) thresholds ranging from $50,000-200,000 per life year gained. Sensitivity analyses included a subgroup analysis by biosimilar type (MVASI/Zirabev) and an analysis using a 2-year time horizon. Results: The final propensity score matched cohort included 747 biosimilar cases and 2,945 controls. Bevacizumab biosimilars were associated with an incremental cost of -$6,379 (95% confidence interval (CI): -9,417, -3,537) (i.e., cost-saving) and an incremental effect of 0.0 (95% CI: -0.02, 0.02) life years gained and -0.01 (95% CI: -0.03, 0) QALY gained. INMB and INHB estimates indicated that biosimilar bevacizumab is cost-effective at all WTP thresholds assessed, with results remaining consistent across our biosimilar type subgroups and 2-year sensitivity analyses. Conclusions: Bevacizumab biosimilars demonstrated real-world cost-savings while providing similar survival benefit as originator bevacizumab, confirming the initial expectations of their implementation.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.005
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.298
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0020.000
Bibliometrics0.0010.004
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.384
GPT teacher head0.553
Teacher spread0.169 · 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 teacher head, not a consensus.

Study designBench or experimental
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".

Quick stats

Citations2
Published2023
Admission routes2
Has abstractyes

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