Trastuzumab and Vinorelbine in Early Stages of HER2-Positive Breast Cancer
Bibliographic record
Abstract
The combination of vinorelbine and trastuzumab (VH) is highly active and well tolerated in patients with metastatic HER2+ breast cancer. We assessed the efficacy and tolerability of VH as an alternative adjuvant treatment for patients with localized breast cancer refusing or ineligible for standard adjuvant trastuzumab-based chemotherapy. Twenty-eight patients with stage I-III breast cancer were treated only with VH as preoperative or postoperative chemotherapy. Fourteen patients received VH as adjuvant treatment for pT1a-b pN0 or eR+ pT1c pN0 cancers. VH was well tolerated, the only grade 3-4 toxicity being neutropenia with 2 cases of febrile neutropenia. At a median follow-up of 39 months, no breast cancer relapses were documented; moreover, overall and disease-free survival was 96.4%. In summary, our results indicate that VH is effective and well tolerated. VH should be prospectively tested as adjuvant treatment for pN0 pT1a-b breast cancer patients for which no standard treatment is well defined.
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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 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 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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".