Management of radiation-induced nausea and vomiting with palonosetron in patients with pre-existing emesis: a pilot study
Bibliographic record
Abstract
BACKGROUND: Approved almost 15 years ago for use in the chemotherapy setting, palonosetron, a 2nd generation 5-hydroxtryptamine 3 receptor antagonist (5-HT3 RA), has demonstrated efficacy in preventing chemotherapy-induced nausea and vomiting. However, its utility in the prophylaxis and treatment of radiation-induced nausea and vomiting (RINV) has yet to be evaluated. In this pilot study, we investigated the rates of control in RINV in patients with pre-existing emesis. METHODS: Patients with pre-existing emesis undergoing palliative radiotherapy to sites with emetic risk were prescribed palonosetron 0.5 mg before the start of radiation treatment, and every other day until completion of treatment. Patients were followed up in acute (day 1 of treatment to day 1 after treatment) and delayed phases (days 2-10 after treatment). Prophylaxis and rescue (PR) was defined as a decrease in anti-emetic use, or episodes of nausea and/or vomiting from baseline. Complete prophylaxis (CP) was defined as no increase in anti-emetic use, or episodes of nausea and/or vomiting. Secondary endpoints included control of nausea and quality of life (QOL), as assessed with the Functional Living Index-Emesis and the European Organization for Research and Treatment of Cancer Quality of Life Questionnaire-Core 15 Palliative. RESULTS: Fourteen patients were enrolled. Rates of control were higher in the acute phase (n=14) for nausea (PR =42.9%, CP =42.9%) and vomiting (PR =21.4%, CP =71.4%) compared to the delayed phase (n=13) for nausea (PR =42.9%, CP =7.7%) and vomiting (PR =15.4%, CP =53.8%). CONCLUSIONS: Palonosetron appears to be safe and patients with pre-existing emesis receiving palliative radiotherapy. More studies are needed to investigate its efficacy in this patient population.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".