118P Real-world treatment patterns and clinical outcomes among high risk, early stage HER2-negative breast cancer (BC) patients in Alberta, Canada
Bibliographic record
Abstract
Data are needed to improve the current understanding of the epidemiology and clinical management of high-risk early stage HER2- BC patients. This study was a retrospective longitudinal cohort study using real-world, population-level data from Alberta, Canada. All individuals newly diagnosed with high-risk, stage II/III HER2- BC in Alberta, Canada between 2013-2019 were included. Data on treatment, laboratory results and pathology findings were collected through electronic health records and administrative databases. High-risk BC was defined as receipt of adjuvant systemic therapy within 120 days of surgery as well as the presence of the following characteristics: 1) For triple-negative BC (TNBC): tumor 2+ cm (AJCC T2 or greater) or axillary lymph node (LN) involvement; 2) For hormone-receptor positive (HR+/HER2-): four or more positive LNs. Treatment eras were separated into pre/post 2016. Overall survival (OS) was defined as the date of diagnosis to death from any cause or last known contact. The annual cumulative incidence of early-stage, high-risk, HER2- BC ranged from 6% to 9%. Individuals with TNBC were more likely to be younger, have grade 3 histology, stage II BC, and receive systemic therapy at a community centre (p < 0.05) when compared with HR+/HER2- BC. Germline BRCA testing was not widely conducted in this patient population, with an estimated 14% of patients diagnosed in 2010-2017 being tested at some point post-diagnosis. Neoadjuvant systemic therapy was given to 37% of patients with high-risk BC. The 5-year OS from initiation of adjuvant systemic therapy (for patients who received adjuvant systemic therapy) or date of surgery (for patients who did not receive adjuvant systemic therapy) was 77% (95% CI: 75 to 79). OS was significantly worse among patients who were older, had grade 3 histology, stage III BC, or had LN involvement (p < 0.05). OS among patients with TNBC between 2016-2019 who initiated adjuvant capecitabine was markedly worse than that of the overall cohort (2-year OS: 70% vs. 89%). Outcomes analyses in this population suggest a continued unmet clinical need. Additional analyses into the indications for use of systemic therapies are underway.
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
Direct model labels (unvalidated)
Per-model category and study-design labels from the labeling rounds. They are machine output, unvalidated, and the disagreement between models ships as data. No study design here is MEDLINE-validated yet.
| Model arm | Categories | Study design | Confidence |
|---|---|---|---|
| gemma | no category Domain: not available · Genre: Empirical About the Canadian research system: no · About a Canadian topic: yes | Observational | low |
| gpt | no category Domain: not available · Genre: Empirical About the Canadian research system: no · About a Canadian topic: yes | Observational | low |
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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.004 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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, unvalidatedLabeled directly by 2 models reading the full record.
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".