Cardiovascular Considerations During Cancer Therapy
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
The administration of certain cancer therapies can be associated with the development of cardiovascular toxicity or complications. This spectrum of toxicities is broad and requires nuanced approaches for prevention, identification, and management. This expert panel summarizes the consensus of opinions of diverse health care professionals in several key areas: 1) cardioprotection involves strategies aimed at the primary prevention of cancer therapy-related cardiovascular toxicity; 2) surveillance entails monitoring for cancer therapy-related cardiovascular toxicity during cancer therapy; 3) permissive cardiotoxicity is the informed continuation of cancer therapy in the presence of cardiovascular toxicity, along with the implementation of mitigating cardiovascular treatments; and 4) special considerations include the invasive management of severe cardiovascular disease in patients receiving treatments for advanced cancer and the exploration of drug-drug interactions in cardio-oncology. In this expert panel, we also highlight gaps in evidence in an effort to continue to advance science in the cardiovascular care of our patients undergoing cancer therapy.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.007 | 0.008 |
| 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 | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.001 | 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 it