A pilot study with palonosetron in the prophylaxis of radiation-induced nausea and vomiting
Bibliographic record
Abstract
BACKGROUND: Palonosetron is an effective antiemetic in chemotherapy-induced nausea and vomiting (CINV), but has yet to be studied in the radiation setting. The purpose of the present study was to investigate the efficacy and safety of palonosetron in the prophylaxis of radiation-induced nausea and vomiting (RINV). METHODS: Patients without existing nausea and vomiting undergoing palliative radiotherapy to sites with emetic risk were prescribed palonosetron 0.5 mg orally 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). The primary endpoint was control of vomiting. Complete control was defined as no use of rescue medication and no episodes of nausea or vomiting. Secondary endpoints included control of nausea and quality of life (QOL). QOL was assessed with the Functional Living Index-Emesis and the European Organisation for Research and Treatment of Cancer QOL Questionnaire-Core 15 Palliative (C15-PAL). RESULTS: In all evaluable patients (n=75), complete control of vomiting was 93.3% in the acute phase and 93.2% in the delayed phase. Complete control of nausea was 74.7% in the acute phase and 74.0% in the delayed phase. CONCLUSIONS: Results suggest improved control in RINV compared to historical reports with first generation serotonin receptor antagonists (RA). A randomized study will be needed to confirm this finding.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 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".