Randomized Phase II Trial to Compare the Efficacy of Haloperidol and Olanzapine in the Control of Chemotherapy-Induced Nausea and Vomiting in Nepal
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
PURPOSE The purpose of the study was to compare efficacy and toxicity of olanzapine (OLN; a higher-cost drug) and haloperidol (HAL; a lower-cost drug) in the prevention of chemotherapy-induced nausea and vomiting (CINV) in patients who receive highly emetogenic chemotherapy (HEC). PATIENTS AND METHODS In a randomized, phase II trial, patients were randomly assigned to receive either OLN 10 mg orally on days 1 to 4 or HAL 1 mg orally on day 1 and 0.5 mg twice daily on days 2 to 4. Both groups received ondansetron 16 mg and dexamethasone 12 mg intravenously on day 1. Patients recorded their nausea using the Edmonton Symptom Assessment Scale (ESAS) and recorded daily episodes of vomiting from day 1 to day 5. The primary end point was complete nausea prevention (CNP; ie, ESAS of 0). Secondary end point was complete emesis prevention (CEP). RESULTS Sixty-five patients were randomly assigned, and 64 received their allocated treatment (n = 32 in each arm). There was no difference in CNP during the overall period (days 1 to 5) between OLN and HAL (68.7% v 71.8%; P = .78). In the acute period (day 1) and the delayed period (days 2 to 5), CNP was similar between OLN and HAL (acute: 84.3% v 81.2%; delayed: 68.7% v 75%). No difference was identified in the rate of CEP during the overall period (81.2% with OLN v 78.1% with HAL; P = .75), during the acute period (93.7% with OLN v 90.6% with HAL), or during the delayed period (84.3% with OLN v 84.3% with HAL). No difference in toxicities was noted between treatment arms. CONCLUSION In this study, HAL had comparable efficacy to OLN in the management of CINV, which suggests that it is the higher-value option in patients who receive HEC in resource-scarce countries.
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.
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 | 0.003 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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 | 0.000 |
| 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 it