Bibliographic record
Abstract
Despite important advances in pharmacotherapeutic options for the prevention and treatment of nausea and vomiting during the 1990s, a significant proportion of patients still suffer debilitating nausea and vomiting symptoms. The most problematic areas are chemotherapy-induced nausea and vomiting particularly delayed emesis, postoperative nausea and vomiting, opioid-induced nausea and vomiting and motion sickness. The most vigorous research into new anti-emetics has focused on the neurokinin-1 (substance P) antagonists. Clinical trials conducted to date indicate that these agents have similar efficacy to 5-HT(3) antagonists in acute chemotherapy-induced nausea and vomiting, superior efficacy to available agents in delayed emesis, possibly superior efficacy against emesis in postoperative nausea and vomiting and no evidence of efficacy versus opioid or motion-induced nausea and vomiting. Other pharmacological strategies in development include agonising CB1 (cannabinoid) receptors, "broad spectrum" receptor antagonists and 5-HT(1A) receptor agonists, although clinical trials of these types of agents are not yet available. The neurokinin-1 antagonists appear to be promising agents for some nausea and vomiting states, although further clarification of their role is required.
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 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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 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) | 0.000 | 0.001 |
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".