Brentuximab Vedotin: A Nursing Perspective on Best Practices and Management of Associated Adverse Events
Bibliographic record
Abstract
BACKGROUND: Brentuximab vedotin (BV) is an antibody-drug conjugate that targets CD30-expressing cells. OBJECTIVES: This article assesses the occurrence and management of the most frequent and clinically relevant BV-associated adverse events (AEs), with a focus on Hodgkin lymphoma and systemic anaplastic large cell lymphoma trials, and shares practical tips that may help decrease occurrence and severity. METHODS: Peer-reviewed literature was surveyed to collect safety data from sponsored clinical trials of BV and to compile associated management guidelines. FINDINGS: Peripheral neuropathy was the most common BV-associated AE across clinical trials. Other clinically relevant AEs included neutropenia, infection, and infusion-related reactions. Awareness of and preparedness for these common BV-associated AEs and other less common but significant AEs will help nurse clinicians and patients maximize the clinical benefit for patients receiving BV.
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How this classification was reachedexpand
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 | 0.005 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.004 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".