Abstract P6-13-02: Subcutaneous trastuzumab for the treatment of HER2+ breast cancer in Canada: A cost-minimization study
Bibliographic record
Abstract
Abstract Background: There is an urgent need to alleviate the pressure on healthcare resources and decrease treatment burden for patients. Recently, a new fixed dose subcutaneous (SC) formulation of trastuzumab was approved by Health Canada for use in HER2-positive breast cancer (HER2+ BC) patients. Studied in multiple trials and treatment settings, the totality of evidence demonstrated similar safety and efficacy to the IV formulation as well as a strong preference for trastuzumab SC by patients and health care professionals. Objective: To estimate the incremental costs/savings associated with the use of trastuzumab SC for the treatment of HER2+ BC if reimbursed with the same provincial funding criteria as trastuzumab IV in Ontario, Canada. Methods: An Excel-based cost-minimization and budget impact model was developed to determine the economic impact of trastuzumab SC in comparison to trastuzumab IV in Ontario. Direct medical costs in the analysis included drug acquisition, drug preparation, drug administration, central venous access device (CVAD), and systemic therapy suite costs. Results: Early and metastatic HER2+ BC patients treated with trastuzumab SC are expected to generate a net cost savings to the health system compared to treatment with trastuzumab IV. Savings are estimated at $11,943 per eBC patient and $11,943 per mBC patient, representing total savings of $15.8M in Year 1, $19.4M in Year 2, and $23.0M in Year 3. The use of trastuzumab SC in these populations enhances the ability of the payer to manage drug and medical resources, while offering a therapy that is aligned with patient and clinician preferences. Citation Format: Megan Coombes, Lori Yin, Ingrid Liu, Norman Shek, Flavia Rusu, Som Mukherjee. Subcutaneous trastuzumab for the treatment of HER2+ breast cancer in Canada: A cost-minimization study [abstract]. In: Proceedings of the 2019 San Antonio Breast Cancer Symposium; 2019 Dec 10-14; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2020;80(4 Suppl):Abstract nr P6-13-02.
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 imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".