Evaluation of Current Antiemetic Therapy Response in Patients Undergoing MEC or HEC Regimens in Portugal
Bibliographic record
Abstract
Chemotherapy-induced nausea and vomiting (CINV) negatively impact cancer patients' quality of life and treatment outcomes. This study evaluated the achievement of complete response to CINV prophylaxis during the first five days after chemotherapy in adult outpatient cancer clinics with solid malignant tumours receiving Moderate or Highly Emetogenic Chemotherapy (MEC or HEC) in Portugal. During the study, patients completed three evaluations, and nausea severity and CINV impact on patients' daily life was assessed. A complete response (no emetic episodes, no use of rescue antiemetic medication, and no more than mild nausea) was observed in 72% of the cycles (N = 161) throughout the five days after chemotherapy. Amongst the patient population, 25% classified their CINV episodes as severe. Though more than half of the patients achieved a complete response, suggesting that a therapeutic effort is being made to minimise this side effect, the overall scenario is barely optimistic. Significantly, new CINV-control measures in MEC/HEC patients should be adopted, specifically avoiding the single use of dexamethasone and 5-HT3 and raising awareness of using NK1-RAs. Thus, it is critical to improve CINV prophylactic treatment and implement practical international antiemetic guidelines in Portuguese clinical practice, envisaging the improvement of supportive care for cancer patients.
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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 | 0.004 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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".