Long-term cardiac MRI follow up of MANTICORE (Multidisciplinary Approach to Novel Therapies in Cardio-Oncology REsearch)
Bibliographic record
Abstract
BACKGROUND: This study investigates the long-term cardiac effects of trastuzumab-based chemotherapy in early breast cancer (EBC) survivors. We extend the original MANTICORE trial which showed that angiotensin-converting enzyme inhibitors (ACEI) and beta-blockers (BB) could mitigate the decline in left ventricular (LV) ejection fraction (EF) during the first year of trastuzumab treatment. OBJECTIVES: We hypothesized that, over time, cardiac function would decline further and adverse changes in cardiac geometry would occur due to the aging of the population and prior treatment. METHODS: The study enrolled 52 participants from the original MANTICORE trial cohort, with cardiac magnetic resonance (CMR) imaging conducted at a median of 6.5 years post randomization to treatment. RESULTS: We found that, contrary to the hypothesis, participants maintained LV EF over the follow-up period. Specifically, the placebo group exhibited a recovery in LV EF to levels comparable with the treatment groups, suggesting no long-term differential impact on cardiac function. However, a significant reduction in LV mass was observed across all groups, the clinical implications of which remain unclear. CONCLUSIONS: The findings suggest that in a selected population receiving trastuzumab-based chemotherapy, extended cardiac imaging surveillance beyond one-year post-treatment may be unnecessary. We posit that the presence of HER2 overexpressing breast cancer influenced hypertrophic changes to cardiac geometry observed at baseline and one year, which resolved after completing HER2-blocking treatment. The study also highlights the need for further research to understand the significance of changes in cardiac geometry during and after breast cancer treatment.
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How this classification was reachedexpand
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 | 0.003 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".