Evaluating cardiovascular risk factors in breast cancer survivors: The role of echocardiography and cardiopulmonary exercise testing in the Munich Cardio-Oncology-Exercise retrospective Registry
Bibliographic record
Abstract
Background Breast cancer survivors (BCS) have an increased risk of developing cardiovascular disease risk factors (CVDRF). However, the role of cardiopulmonary fitness, echocardiography and treatment regimen e.g. anthracycline, HER2-targeted therapy (AC/H) or endocrine therapy (ET) are uncertain. Methods This single-center, retrospective study included BCS without visceral metastases, who had been treated with either AC/H or ET and assessed by echocardiography, cardio-pulmonary exercise testing (CPET) and the H 2 FPEF score at baseline. We included BCS with a left ventricular ejection fraction ≥50 % and absence of CVDRF at baseline. The primary outcome was the incidence of CVDRF. Results A total of 112 BCS were included (mean age of 54.6 ± 9.9 years, BC stage I-III). After a median follow-up of 21 months new-onset arterial hypertension was the most common CVDRF observed ( n = 17). New onset hypertension was related to higher baseline resting systolic blood pressure (127.4 ± 9.2 mmHg vs. 117.3 ± 13.1 mmHg, p = 0.002) and H 2 FPEF scores (1.2 ± 0.8 vs. 0.8 ± 1.1, p = 0.043). Echocardiographic and CPET findings associated with new-onset arterial hypertension included greater left ventricular mass index (77.3 ± 24.2 g/m 2 vs. 65.6 ± 15.5 g/m 2 , p = 0.007), higher peak systolic blood pressure (193.1 ± 19.5 mmHg vs. 173.3 ± 21.2 mmHg, p = 0.017) and ventilatory power (6.4 ± 1.3 mmHg vs. 5.7 ± 1.2 mmHg, p = 0.022). Treatment regimen had no influence on the development of CVDRF. Conclusions The most common CVDRF among BCS is hypertension, underscoring the importance of monitoring this outcome irrespective of breast cancer treatment regimens. The H 2 FPEF score, CPET and echocardiography may help identify BCS at risk of developing hypertension. Strain and biomarkers were not available, impeding detection of cardiotoxicity.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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) | 0.001 | 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".