Avastin, Sutent and Votrient induced cardiotoxicity Study (ASICS): Early detection of Bevacizumab and Sunitinib mediated cardiotoxicity in cancer patients:
Bibliographic record
Abstract
Cancer is a significant health concern in Canada, where it is expected that approximately 2 in 5 Canadians will develop cancer during their lifetime. Although current anti-cancer therapies may be effective in leading remission in cancer patients, it has been shown that conventional chemotherapeutic drugs, including Doxorubicin (DOX), are associated with an increased risk of cardiotoxicity. As new anti-cancer drugs including Bevacizumab (BVZ) and Sunitinib (SNT) are introduced, we must seek to develop cardiac safety profiles for these drugs. Cardiac dysfunction in cancer patients is typically monitored using non-invasive cardiac imaging to assess left ventricular ejection fraction (LVEF). Unfortunately, once a reduced LVEF has been identified, irreversible cardiac injury may have already occurred. In an effort to recognize cardiotoxic side effects before a reduction in traditional LVEF parameters, early indices of LV systolic dysfunction that include cardiac biomarkers, tissue velocity imaging (TVI), and strain imaging have been evaluated in the breast cancer setting. It is yet to be determined, however, whether these same non-invasive indicators can accurately detect early manifestations of cardiotoxicity in colorectal and renal cell cancer patients treated with BVZ or SNT when conventional LVEF parameters remains normal. The objective of this clinical research study is to evaluate whether early indices of cardiotoxicity can be detected before LVEF is reduced in colorectal and renal cell cancer patients treated with BVZ or SNT. In a study population of 30 individuals with either colorectal or renal cell cancer, we will examine serial cardiac biomarkers and novel echocardiographic techniques for the early identification of cardiotoxicity. If these markers are found to be accurate predictors of cardiotoxicity, future applications may enable the prevention of irreversible cardiac damage in cancer patients treated with BVZ or SNT. Proposed preventative measures may include: i) modifying the dosage of chemotherapeutic agents (specifically BVZ and SNT); and/or ii) prophylactic administration of cardioprotective agents.
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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) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".