Can prognostic factors identify women receiving anthracycline plus cyclophosphamide-based chemotherapy (MEC) who do not require an NK<sub>1</sub> receptor antagonist?
Bibliographic record
Abstract
e20502 Background: Age, alcohol use, and history of sickness associated with pregnancy or motion have been identified as risk factors for chemotherapy-induced emesis. This post hoc analysis addressed two questions: 1) Can prognostic factors identify a low risk group for whom ondansetron (OND) plus dexamethasone [D] alone provide a high level of protection (≥80% no emesis)? 2) Does the NK1 receptor antagonist aprepitant improve antiemetic outcome regardless of emetic risk? Methods: The analysis was based upon outcomes in patients with breast cancer enrolled in a Phase III double-blind, placebo-controlled trial randomized to Day 1 OND 8 mg and D 20 mg before chemotherapy and OND 8 hours later and OND 8 mg bid Days 2–3 vs. Day 1 aprepitant 125 mg PO, OND 8 mg, and D 12 mg before chemotherapy and OND 8 mg 8 hours later and aprepitant 80 mg PO qd Days 2–3. Multivariate logistic regression models were used to assess the impact on emesis of the regimen with aprepitant, and previously reported risk factors, including age (<55 and ≥55 years), ethanol use (0–4 or ≥5 drinks/week), history of pregnancy-related morning sickness, and history of motion sickness, using a modified intent-to-treat approach. Results: 856 patients were assessed for efficacy. Treatment with aprepitant (p<0.0001), older age (p=0.006), ethanol use (p=0.0048), and no history of morning sickness (p=0.0007) were all significantly associated with reduced likelihood of emesis; motion sickness was not a risk factor. The Table below shows the probability of no emesis associated with the presence of 0, 1, 2, or all of these factors in the aprepitant and active control arms. Conclusions: 1) The low-risk group identified by this analysis is of questionable utility because it comprised less than 3% of patients. 2) We could not confirm that motion sickness was a significant risk factor. 3) Aprepitant improved the control of emesis irrespective of the number of risk factors for emesis. [Table: see text] [Table: see text]
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| 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) | 0.002 | 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".