Prolonged Bradycardia Induced by Bevacizumab-Associated Infusion Reaction in Advanced Metastatic Colon Cancer
Bibliographic record
Abstract
A 71-year-old man complaining of bilateral leg edema and general fatigue was admitted to the hospital and diagnosed as advanced sigmoid colon cancer with multiple liver and lung metastasis. The 5-FU/leucovorin/oxaliplatin (FOLFOX)/bevacizumab was started as a first-line therapy. In the second course of FOLFOX/bevacizumab, just after finishing infusion of bevacizumab, he felt severe thrill with chill and got fever (maximum of 38.1 °C). Since the symptom was diagnosed as an infusion reaction induced by bevacizumab, treatment with steroid and histamine antagonist was performed. His symptom disappeared soon after the treatment; however, his heart rate came lower below 50/minute 5 hours after the infusion reaction (his heart rate was routinely around 60/minute). The 12-lead electrocardiogram showed sinus bradycardia. The bradycardia (30 - 49/minute) continues at least 60 hours and spontaneously recovered. Literature search of PubMed showed just two papers implying the relation between bevacizumab and bradycardia. This case suggested that bradycardia induced by bevacizumab-associated infusion reaction should be carefully followed up and might be observed with admission if necessary. J Med Cases. 2015;6(5):194-197 doi: http://dx.doi.org/10.14740/jmc2066w
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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 | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 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".