Cardiovascular Considerations Before 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
Baseline cardiovascular assessment before the initiation of potentially cardiotoxic cancer therapies is a key component of cardio-oncology, aiming to reduce cardiovascular complications and morbidity in patients and survivors. Recent clinical practice guidelines provide both general and cancer therapy-specific recommendations for baseline cardiovascular toxicity risk assessment and management, including the use of dedicated risk scores, cardiovascular imaging, and biomarker testing. However, the value of such interventions in altering disease trajectories has not been established, with many recommendations based on expert opinion or Level of Evidence: C, studies with a potential for high risk of bias. Advances in understanding underlying mechanisms of cardiotoxicity and the increased availability of genetic and immunologic profiling present new opportunities for personalized risk assessment. This paper evaluates the existing evidence on cardiovascular care of cancer patients before cardiotoxic cancer therapy and highlights gaps in evidence and priorities for future research.
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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.008 | 0.010 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.002 | 0.002 |
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