Understanding and predicting fatigue, cardiovascular (CV) decline, and events after breast cancer treatment (UPBEAT): A prospective cardio-oncology study.
Bibliographic record
Abstract
TPS11634 Background: Modern treatment for breast cancer (BC) has led to improved survival; however, this improvement can be offset by an increase in cancer therapy-related morbidity and mortality. Over one-third of early stage BC patients treated with cancer therapy experience CV injury, left ventricular (LV) dysfunction, exercise intolerance, or fatigue. CV disease is a leading cause of mortality in BC survivors. There is limited information on the time course and long-term CV health of BC survivors. UPBEAT, a multicenter study, will prospectively evaluate CV risk factors and outcomes in early stage BC patients,treated with modern cancer therapies. This will facilitate evaluation of primary CV prevention strategies in this patient population. Methods: This is a prospective cohort study of 840 patients with early stage (I-III) BC treated with chemotherapy +/- radiation and 160 controls. Baseline and serial longitudinal measures will examine the influence of cancer treatment on CV function, exercise capacity and fatigue, and future development of CV events. The comprehensive assessment of factors includes ascertainment of cardiac biomarkers, CV risk factors, comorbidities, functional status (e.g., disability measures, Expanded SPPB), neurocognitive tests, behavioral risk factors, socio-demographics, and quality of life at baseline, 3-, 12-, and 24-mos. Outcomes measured at the same time points, include a deep phenotyping of CV dysfunction (via cardiac MRI assessing LV end diastolic volume, LV end systolic volume, LV ejection fraction, myocardial strain, strain rate, left atrial volumes and mass, and aortic stiffness), exercise intolerance (submaximal as 6-minute walk test and maximal as VO2peak via cardiopulmonary exercise test), fatigue (via FACT-F). Eligibility criteria are: age >18 years; ECOG 0-2, able to walk without symptoms; and for BC patients, treatment with chemotherapy. 143 participants are accrued and currently enrolling through ECOG and NCORP sites. Participants will be followed for 9 years with active surveillance of CV events, i.e., heart failure, myocardial infarction, stroke, all-cause and CV death. Clinical trial information: NCT02791581.
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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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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".