Are the cardiovascular side effects of bevacizumab caused by autonomic nervous system toxicity?
Bibliographic record
Abstract
429 Background: Bevacizumab, a monoclonal antibody that inhibits the activity of vascular endothelial growth factor, has demonstrated activity against several malignancies. Reported adverse effects include hypertension, endothelial dysfunction, and heart failure. Animal models have suggested ANS toxicity as the mechanism. This pilot study investigates the effects of bevacizumab on short and long-term ANS function using a pre-post intervention design protocol. We report on the acute effects herein. Methods: Patients were recruited among those starting bevacizumab for colon cancer. A 10-minute ECG was recorded prior to, during, and following a first dose and analysed for heart rate variability (HRV), a marker of ANS dysfunction. The HRV values were compared using paired t-tests and repeated measures ANOVA. Plasma hormones were drawn before and after infusion and compared using paired t-tests. Results: Nine patients without a cardiac history were tested. Mean age was 63 years and 5 were male. All were in sinus rhythm with normal systolic function by echo. The Table reports changes in HRV indices and plasma hormones. Conclusions: Acute administration of bevacizumab produced a statistically significant decrease in plasma aldosterone and was associated with a trend towards decreases in plasma norepinephrine and the low/high frequency domain ratio of HRV. These changes may be signs of an early ANS imbalance. Both a larger patient series and longer follow-up are planned to characterize the effects of bevacizumab on the ANS. [Table: see text]
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| 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) | 0.003 | 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".