5-Hydroxytryptamine-3 Receptor Antagonist With or Without Short-Course Dexamethasone in the Prophylaxis of Radiation Induced Emesis: A Placebo-Controlled Randomized Trial of the National Cancer Institute of Canada Clinical Trials Group (SC19)
Bibliographic record
Abstract
PURPOSE: To evaluate the effectiveness of prophylactic dexamethasone for the control of radiation induced emesis (RIE) when added to ondansetron during days 1 to 5 of fractionated radiotherapy. The study had two hypotheses: ondansetron and dexamethasone could provide superior control of RIE over ondansetron alone during the prophylactic period and; the combination could provide sustained control of RIE during subsequent fractions of radiotherapy. PATIENTS AND METHODS: Between May 2001 to Jan 2004, 211 patients receiving radiotherapy (> or = 15 fractions) to the upper abdomen were randomly assigned to receive ondansetron 8 mg bid with either dexamethasone 4 mg daily or placebo during fractions 1 to 5. Rescue antiemetics were provided. RESULTS: During the prophylactic period there was a trend for improved complete control of nausea in the dexamethasone arm (50% v 38%; P = .06) while complete and partial control of emesis, average nausea score, and use of rescue medications were similar in the two groups. During the overall study period patients receiving dexamethasone had better complete control of emesis (23% v 12%; P = .02) and a lower average nausea score (0.28 v 0.39; P = .03); there was a trend towards less use of rescue medications with dexamethasone (70% v 80%; P = .09); other outcomes were similar on the two arms. Quality of life analysis showed a significant difference in appetite. CONCLUSION: The addition of dexamethasone to ondansetron as prophylaxis provides a modest improvement in protection against RIE during moderately emetogenic fractionated radiotherapy. It is a potentially useful addition to 5-hydroxytryptamine-3 receptor antagonists in this setting.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.003 | 0.002 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.005 | 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".