A Multidisciplinary Perspective on the Subcutaneous Administration of Trastuzumab in HER2-Positive Breast Cancer
Bibliographic record
Abstract
Trastuzumab is the standard treatment in Canada for patients with breast cancer positive for her2 (human epidermal growth factor receptor 2), dramatically improving outcomes in that patient group. However, its current intravenous (IV) administration is associated with long infusion times that place a significant burden on health care resources and patient quality of life. In an effort to provide a faster and easier administration method, a subcutaneous (sc) formulation of trastuzumab has been developed. Data from comparative trials demonstrate that the two formulations are comparable with respect to pharmacokinetics and efficacy. They also have similar safety profiles, with the exception of mild local and administration reactions with the sc formulation. Furthermore, the sc formulation is preferred by patients and health care professionals, and greatly reduces administration and chair time. Additional advantages include easier preparation and dosing, reduced drug wastage, and reduced discomfort at the injection site. By using well-thought-out administration procedures, the sc formulation can be given safely and effectively, potentially reducing the burden on health care resources and improving quality of life for patients.
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 imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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 teacher head, 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".