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The cost burden of trastuzumab and bevacizumab monoclonal antibody therapy in solid tumors: Can we afford it?

2006· article· en· W98243944 on OpenAlexaffabout
Arik Drucker, Kiran Virik, Chris Skedgel, Daniel Rayson, M. Sellon, T. Younis

Bibliographic record

VenueJournal of Clinical Oncology · 2006
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicEconomic and Financial Impacts of Cancer
Canadian institutionsQueen Elizabeth II Health Sciences Centre
Fundersnot available
KeywordsMedicineTrastuzumabBevacizumabPharmacyMetastatic breast cancerContext (archaeology)OncologyInternal medicineBreast cancerMonoclonal antibodyHealth careCancerChemotherapyImmunologyFamily medicineAntibody

Abstract

fetched live from OpenAlex

6044 Background: Monoclonal antibodies (MAb), such as trastuzumab (TZ) and bevacizumab (BZ), have become an important yet expensive component of cancer treatment. The potential cost impact on health care budgets needs to be assessed in the context of its potential utilization. An estimate of the additional costs incurred by adopting TZ and BZ therapy in breast (BRC), lung (LUC) and colorectal (CRC) cancers was undertaken. Methods: The MAb costs per patient were estimated based on treatment indications, length of treatment, standard doses / schedules and local pharmacy data. Supportive medications, diagnostics and health resources utilization only required for the MAb therapy were also examined. This analysis was performed in Canadian dollars ($), and assumes complete drug delivery and uncomplicated cycles. Drug costs were based on average 2005 wholesale prices in Canada. The analysis took a direct payer perspective. We subsequently estimated the cost of MAb therapy per patient relative to the total costs of conventional cancer management without MAb therapy. Budget impact estimates on Canada’s health care system were then derived according to constructed schema, which accounts for absolute numbers of target patients and systemic therapy utilization. Results: The average costs of TZ per treated patient were $47,278 and $26,648 for adjuvant and metastatic BRC, respectively. For BZ, these were $47,250 and $38,500 for metastatic LUC and CRC, respectively. Other costs associated with MAb therapy were in the range of 3–6%. The predicted TZ drug costs in metastatic breast cancer were within 10% of the actual costs derived from pharmacy data. The potential life-time absolute costs to Canada’s health care system were approximately $118 million for TZ, and $262 million for BZ. This corresponds to an average of approximately 21% increase in the health care expenditure for BRC, LUC, and CRC. Conclusions: MAb therapy, such as TZ and BZ, may add a significant cost burden to Canada’s publicly funded health care system. The developed schema in this analysis may be of potential use to health care providers and policy makers in assessing the impact of MAb therapy on health care budgets. No significant financial relationships to disclose.

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)0.003
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation 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 score0.611
Threshold uncertainty score0.474

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0020.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.093
GPT teacher head0.399
Teacher spread0.306 · 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.

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".

Quick stats

Citations7
Published2006
Admission routes2
Has abstractyes

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