Pretreatment Circulating Vascular Biomarkers Predict Cancer Therapy–Related Cardiac Dysfunction During HER2+ Breast Cancer Treatment
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
BACKGROUND: Blood biomarkers to predict cancer therapy-related cardiac dysfunction (CTRCD) risk remain limited. OBJECTIVES: breast cancer patients. METHODS: breast cancer receiving anthracycline and trastuzumab therapy underwent serial evaluation with cardiac magnetic resonance imaging (CMR), echocardiography, clinical assessments, and blood biobanking every 3 months. Multiomics profiling of 3 circulating cardiac damage biomarkers and 35 markers of inflammation, angiogenesis and endothelial activation and profiling of >2,000 plasma microRNAs were performed before and early during treatment (3 and 6 months). CTRCD was defined by left ventricular ejection fraction measured on CMR, and sensitivity analyses used echocardiography. Pretreatment protein biomarkers were measured in a validation cohort. RESULTS: breast cancer patients. CONCLUSIONS: Pretreatment endothelial-centric and inflammatory biomarkers outperformed both clinical and CMR measures in predicting CTRCD during chemotherapy.
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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) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| 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 it