Cardiovascular Risk Profile of Patients with HER2/neu-Positive Breast Cancer Treated with Anthracycline-Taxane–Containing Adjuvant Chemotherapy and/or Trastuzumab
Bibliographic record
Abstract
PURPOSE: To evaluate the cardiovascular risk profile of a subset of patients with early-stage breast cancer treated with adjuvant taxane-anthracycline-containing chemotherapy and/or trastuzumab (Herceptin). EXPERIMENTAL DESIGN: Twenty-six patients with breast cancer (mean, 20 months postchemotherapy) and 10 healthy age-matched women were studied. We measured 14 metabolic and vascular established cardiovascular disease (CVD) risk factors, body mass index, cardiorespiratory fitness, and left ventricular systolic function. All assessments were done within a 14-day period. RESULTS: Cardiac abnormalities were suggested by left ventricular ejection fraction (LVEF) <50% in 8% of patients, LVEF remained >10% below pretreatment values in 38%, whereas 50% presented with resting sinus tachycardia. Brain natriuretic peptide was significantly elevated in 40% of patients and was correlated with LVEF (r = -0.72, P =or< 0.001). For the majority of CVD risk factors, similar proportions of patients and controls (35-60%) were classified as "undesirable." A significantly higher proportion of patients were classified with low cardiorespiratory fitness (46% versus 0%, P < 0.01), being overweight/obese (72% versus 50%, P < 0.05), and having resting sinus tachycardia (50% versus 0%, P < 0.01) compared with controls. Cardiorespiratory fitness and body mass index were correlated with CVD risk factors (r = -0.64 to 0.63, P < 0.05; r = -0.63 to 0.67, P < 0.05, respectively). Exploratory analyses revealed several differences between CVD risk factors based on chemotherapy regimen. CONCLUSION: Breast cancer survivors treated with adjuvant chemotherapy are at a higher risk of developing late-occurring CVD than age-matched controls due to direct and indirect treatment-related toxicity.
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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 | 0.000 | 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) | 0.001 | 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 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".