Acute and Delayed Emesis after Cisplatin-Based Regimen: Description and Prevention
Bibliographic record
Abstract
Lorazepam, dexamethasone and high-dose metoclopramide were given to 54 patients to prevent emesis induced by cisplatin (50-120 mg/m2) on day 1, while prochlorperazine and dexamethasone were administered on days 2 and 3 for control of delayed emesis. Nausea and emesis were recorded from day 1 to day 8. This combination was well tolerated. Prevention on day 1 was complete for 72% of patients and satisfactory (less than or equal to 2 emeses on day 1) in 85%. From days 2 to 8, no emesis, less than or equal to 2 and greater than 2 episodes occurred in 70, 11 and 19%, respectively. Overall control (days 1-8) was complete in 55.5% and satisfactory (less than or equal to 2 emeses on day 1 and/or less than or equal to 2 emeses from days 2 to 8) in 74%. Delayed emesis started on days 2-5. Mean duration was 2.6 days. Delayed nausea or emesis were more frequent when emesis occurred on day 1. Based on data previously reported and on these observations, better ways to prevent delayed events are discussed. Further trials must record systematically delayed side effects.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| 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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".